Michael Gastpar

338 papers A* 12B 99C 1Misc 19Journal 177Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contraction of Rényi Divergences for Discrete Channels: Properties and Applications. CoRR Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
2026	J	`jnl`	Locally Private Parametric Methods for Change-Point Detection. CoRR Anuj Kumar Yadav, Cemre Cadir, Yanina Shkel, Michael Gastpar
2026	J	`jnl`	Model Non-Collapse: Minimax Bounds for Recursive Discrete Distribution Estimation. IEEE Trans. Inf. Theory Millen Kanabar, Michael Gastpar
2026	J	`jnl`	TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning. CoRR Alliot Nagle, Jakhongir Saydaliev, Dhia Garbaya, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
2025	J	`jnl`	Alpha-NML Universal Predictors. IEEE Trans. Inf. Theory Marco Bondaschi, Michael Gastpar
2025	A*	`conf`	Attention with Markov: A Curious Case of Single-layer Transformers. ICLR Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
2025	J	`jnl`	From Markov to Laplace: How Mamba In-Context Learns Markov Chains. CoRR Marco Bondaschi, Nived Rajaraman, Xiuying Wei, Kannan Ramchandran, Razvan Pascanu, Caglar Gulcehre, Michael Gastpar, Ashok Vardhan Makkuva
2025	A*	`conf`	Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective. ICML Yunzhen Yao, Lie He, Michael Gastpar
2025	J	`jnl`	Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective. CoRR Yunzhen Yao, Lie He, Michael Gastpar
2025	J	`jnl`	Minimax discrete distribution estimation with self-consumption. CoRR Millen Kanabar, Michael Gastpar
2025	B	`conf`	Model Non-Collapse: Minimax Bounds for Recursive Discrete Distribution Estimation. ISIT Millen Kanabar, Michael Gastpar
2025	J	`jnl`	Non-Asymptotic Analysis of Efficiency in Conformalized Regression. CoRR Yunzhen Yao, Lie He, Michael Gastpar
2025	B	`conf`	The Conditional Regret-Capacity Theorem for Batch Universal Prediction. ITW Marco Bondaschi, Michael Gastpar
2025	J	`jnl`	The Conditional Regret-Capacity Theorem for Batch Universal Prediction. CoRR Marco Bondaschi, Michael Gastpar
2025	J	`jnl`	What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains. CoRR Chanakya Ekbote, Marco Bondaschi, Nived Rajaraman, Jason D. Lee, Michael Gastpar, Ashok Vardhan Makkuva, Paul Pu Liang
2025	J	`jnl`	zip2zip: Inference-Time Adaptive Vocabularies for Language Models via Token Compression. CoRR Saibo Geng, Nathan Ranchin, Yunzhen Yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West
2024	J	`jnl`	Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. CoRR Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
2024	J	`jnl`	Batch Normalization Decomposed. CoRR Ido Nachum, Marco Bondaschi, Michael Gastpar, Anatoly Khina
2024	B	`conf`	Batch Universal Prediction. ISIT Marco Bondaschi, Michael Gastpar
2024	J	`jnl`	Batch Universal Prediction. CoRR Marco Bondaschi, Michael Gastpar
2024	—	`conf`	Characterising Directed and Undirected Metrics of High-Order Interdependence. ISIT (Workshops) Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2024	J	`jnl`	Characterising directed and undirected metrics of high-order interdependence. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2024	J	`jnl`	Characterising high-order interdependence via entropic conjugation. CoRR Fernando E. Rosas, Aaron J. Gutknecht, Pedro A. M. Mediano, Michael Gastpar
2024	J	`jnl`	Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut
2024	A*	`conf`	Fantastic Generalization Measures are Nowhere to be Found. ICLR Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
2024	A*	`conf`	Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. NeurIPS Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
2024	J	`jnl`	Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. CoRR Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
2024	A*	`conf`	LASER: Linear Compression in Wireless Distributed Optimization. ICML Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar
2024	A*	`conf`	Local to Global: Learning Dynamics and Effect of Initialization for Transformers. NeurIPS Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar, Chanakya Ekbote
2024	J	`jnl`	Local to Global: Learning Dynamics and Effect of Initialization for Transformers. CoRR Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
2024	J	`jnl`	Lower Bounds on the Bayesian Risk via Information Measures. J. Mach. Learn. Res. Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2024	B	`conf`	Properties of the Strong Data Processing Constant for Rényi Divergence. ISIT Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar
2024	J	`jnl`	Properties of the Strong Data Processing Constant for Rényi Divergence. CoRR Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar
2024	J	`jnl`	Shannon Bounds for Quadratic Rate-Distortion Problems. CoRR Michael Gastpar, Erixhen Sula
2024	J	`jnl`	Sibson's α-Mutual Information and its Variational Representations. CoRR Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2024	A*	`conf`	The Fundamental Limits of Least-Privilege Learning. ICML Theresa Stadler, Bogdan Kulynych, Michael Gastpar, Nicolas Papernot, Carmela Troncoso
2024	J	`jnl`	The Fundamental Limits of Least-Privilege Learning. CoRR Theresa Stadler, Bogdan Kulynych, Nicolas Papernot, Michael Gastpar, Carmela Troncoso
2024	B	`conf`	The Persuasion Bottleneck. ISIT Michael Gastpar, Aayush Rajesh
2024	J	`jnl`	Transformers on Markov Data: Constant Depth Suffices. CoRR Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva
2024	A*	`conf`	Transformers on Markov data: Constant depth suffices. NeurIPS Nived Rajaraman, Marco Bondaschi, Ashok Vardhan Makkuva, Kannan Ramchandran, Michael Gastpar
2024	B	`conf`	Variational Characterizations of Sibson's α-Mutual Information. ISIT Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2024	J	`jnl`	Which Algorithms Have Tight Generalization Bounds? CoRR Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
2023	J	`jnl`	A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. IEEE Trans. Inf. Theory Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
2023	A*	`conf`	Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. COLT Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2023	J	`jnl`	Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2023	B	`conf`	Distributed Lossy Computation with Structured Codes: From Discrete to Continuous Sources. ISIT Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
2023	J	`jnl`	Fantastic Generalization Measures are Nowhere to be Found. CoRR Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
2023	J	`jnl`	Lower Bounds on the Bayesian Risk via Information Measures. CoRR Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2023	B	`conf`	Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data. ISIT Aditya Pradeep, Michael Gastpar
2022	A*	`conf`	A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. ICLR Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina
2022	B	`conf`	Alpha-NML Universal Predictors. ISIT Marco Bondaschi, Michael Gastpar
2022	J	`jnl`	Alpha-NML Universal Predictors. CoRR Marco Bondaschi, Michael Gastpar
2022	J	`jnl`	Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise. IEEE Trans. Signal Process. Arda Atalik, Alper Köse, Michael Gastpar
2022	B	`conf`	Finite Littlestone Dimension Implies Finite Information Complexity. ISIT Aditya Pradeep, Ido Nachum, Michael Gastpar
2022	J	`jnl`	Finite Littlestone Dimension Implies Finite Information Complexity. CoRR Aditya Pradeep, Ido Nachum, Michael Gastpar
2022	B	`conf`	From Generalisation Error to Transportation-cost Inequalities and Back. ISIT Amedeo Roberto Esposito, Michael Gastpar
2022	J	`jnl`	From Generalisation Error to Transportation-cost Inequalities and Back. CoRR Amedeo Roberto Esposito, Michael Gastpar
2022	B	`conf`	Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. ISIT Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
2022	J	`jnl`	Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. CoRR Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
2022	B	`conf`	On Sibson's α-Mutual Information. ISIT Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2022	J	`jnl`	On Sibson's α-Mutual Information. CoRR Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
2022	J	`jnl`	Privacy in Retrieval, Computing, and Learning. IEEE J. Sel. Areas Commun. Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
2022	J	`jnl`	Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
2022	B	`conf`	Shannon Bounds on Lossy Gray-Wyner Networks. ISIT Erixhen Sula, Michael Gastpar
2022	J	`jnl`	Shannon Bounds on Lossy Gray-Wyner Networks. CoRR Erixhen Sula, Michael Gastpar
2022	J	`jnl`	The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources. IEEE Trans. Inf. Theory Erixhen Sula, Michael Gastpar
2022	Misc	`conf`	The Price of Distributed: Rate Loss in the CEO Problem. CISS Arda Atalik, Alper Köse, Michael Gastpar
2022	J	`jnl`	The Price of Distributed: Rate Loss in the CEO Problem. CoRR Arda Atalik, Alper Köse, Michael Gastpar
2021	B	`conf`	A Discretization Approach to Compute-Forward. ISIT Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
2021	J	`jnl`	A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. CoRR Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina
2021	J	`jnl`	A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. CoRR Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
2021	B	`conf`	Differential Entropy of the Conditional Expectation under Gaussian Noise. ITW Arda Atalik, Alper Köse, Michael Gastpar
2021	J	`jnl`	Entropy of the Conditional Expectation under Gaussian Noise. CoRR Arda Atalik, Alper Köse, Michael Gastpar
2021	J	`jnl`	Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage. IEEE Trans. Inf. Theory Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2021	J	`jnl`	Locally Differentially-Private Randomized Response for Discrete Distribution Learning. J. Mach. Learn. Res. Adriano Pastore, Michael Gastpar
2021	B	`conf`	Lower Bounds on the Expected Excess Risk Using Mutual Information. ITW M. Bora Dogan, Michael Gastpar
2021	J	`jnl`	Lower bound on Wyner's Common Information. CoRR Erixhen Sula, Michael Gastpar
2021	B	`conf`	Lower bound on relaxed Wyner's Common Information. ISIT Erixhen Sula, Michael Gastpar
2021	B	`conf`	Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\alpha$-Mutual Information. ISIT Amedeo Roberto Esposito, Michael Gastpar
2021	J	`jnl`	On Calculating the Minimum Rate for the Cooperative Data Exchange Problem Over Fully Connected Networks. IEEE Trans. Commun. Su Li, Michael Gastpar
2021	B	`conf`	On conditional Sibson's $\alpha$ -Mutual Information. ISIT Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
2021	J	`jnl`	On conditional Sibson's α-Mutual Information. CoRR Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
2021	J	`jnl`	Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. CoRR Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
2020	J	`jnl`	Caching (Bivariate) Gaussians. IEEE Trans. Inf. Theory Giel J. Op 't Veld, Michael Gastpar
2020	Misc	`conf`	Common Information Components Analysis. ITA Michael Gastpar, Erixhen Sula
2020	J	`jnl`	Common Information Components Analysis. CoRR Michael Gastpar, Erixhen Sula
2020	J	`jnl`	Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations. IEEE Trans. Inf. Theory Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
2020	Misc	`conf`	Converse for Multi-Server Single-Message PIR with Side Information. CISS Su Li, Michael Gastpar
2020	B	`conf`	Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. ITW Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2020	J	`jnl`	Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. CoRR Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
2020	J	`jnl`	Robust Generalization via $α$-Mutual Information. CoRR Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2020	B	`conf`	Robust Generalization via f-Mutual Information. ISIT Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2020	B	`conf`	Successive Refinement to Caching for Dynamic Requests. ISIT Pinar Sen, Michael Gastpar, Young-Han Kim
2020	J	`jnl`	Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback. IEEE Trans. Inf. Theory Erixhen Sula, Michael Gastpar, Gerhard Kramer
2020	Misc	`conf`	The Gaussian lossy Gray-Wyner network. CISS Erixhen Sula, Michael Gastpar
2020	J	`jnl`	The Gaussian lossy Gray-Wyner network. CoRR Erixhen Sula, Michael Gastpar
2019	J	`jnl`	A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage. CoRR Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019	J	`jnl`	Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding. IEEE Trans. Inf. Theory Jingge Zhu, Sung Hoon Lim, Michael Gastpar
2019	J	`jnl`	Compute-Forward Multiple Access (CFMA): Practical Implementations. IEEE Trans. Commun. Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
2019	J	`jnl`	Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage. CoRR Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019	B	`conf`	Learning and Adaptive Data Analysis via Maximal Leakage. ITW Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
2019	J	`jnl`	Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. CoRR Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen
2019	B	`conf`	Relaxed Wyner's Common Information. ITW Michael Gastpar, Erixhen Sula
2019	J	`jnl`	Relaxed Wyner's Common Information. CoRR Erixhen Sula, Michael Gastpar
2019	J	`jnl`	Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power. IEEE Trans. Inf. Theory Krishnan Eswaran, Michael Gastpar
2019	B	`conf`	Strengthened Information-theoretic Bounds on the Generalization Error. ISIT Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2019	J	`jnl`	Strengthened Information-theoretic Bounds on the Generalization Error. CoRR Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
2019	B	`conf`	Successive Refinement to Caching for Dynamic Content. ISIT Pinar Sen, Michael Gastpar
2019	J	`jnl`	The Optimal Memory-Rate Trade-Off for the Non-Uniform Centralized Caching Problem With Two Files Under Uncoded Placement. IEEE Trans. Inf. Theory Saeid Sahraei, Pierre Quinton, Michael Gastpar
2019	B	`conf`	Towards an Algebraic Network Information Theory: Distributed Lossy Computation of Linear Functions. ISIT Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
2019	J	`jnl`	Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding. CoRR Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
2018	J	`jnl`	A Joint Typicality Approach to Compute-Forward. IEEE Trans. Inf. Theory Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
2018	J	`jnl`	A Novel Centralized Strategy for Coded Caching with Non-uniform Demands. CoRR Pierre Quinton, Saeid Sahraei, Michael Gastpar
2018	B	`conf`	Computable Bounds on the Exploration Bias. ISIT Ibrahim Issa, Michael Gastpar
2018	B	`conf`	Increasing Availability in Distributed Storage Systems via Clustering. ISIT Saeid Sahraei, Michael Gastpar
2018	J	`jnl`	Locally Differentially-Private Randomized Response for Discrete Distribution Learning. CoRR Adriano Pastore, Michael Gastpar
2018	Misc	`conf`	Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy-Power. ITA Krishnan Eswaran, Michael Gastpar
2018	J	`jnl`	Remote Source Coding under Gaussian Noise : Dueling Roles of Power and Entropy Power. CoRR Krishnan Eswaran, Michael Gastpar
2018	J	`jnl`	Single-Server Multi-Message Private Information Retrieval with Side Information. CoRR Su Li, Michael Gastpar
2018	—	`conf`	Single-server Multi-message Private Information Retrieval with Side Information. Allerton Su Li, Michael Gastpar
2018	B	`conf`	Single-server Multi-user Private Information Retrieval with Side Information. ISIT Su Li, Michael Gastpar
2018	B	`conf`	Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. ISIT Erixhen Sula, Michael Gastpar, Gerhard Kramer
2018	J	`jnl`	Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. CoRR Erixhen Sula, Michael Gastpar, Gerhard Kramer
2018	J	`jnl`	The Optimal Memory-Rate Trade-off for the Non-uniform Centralized Caching Problem with Two Files under Uncoded Placement. CoRR Saeid Sahraei, Pierre Quinton, Michael Gastpar
2017	J	`jnl`	Communication versus Computation: Duality for multiple access channels and source coding. CoRR Jingge Zhu, Sung Hoon Lim, Michael Gastpar
2017	J	`jnl`	Compute-Forward Multiple Access (CFMA): Practical Code Design. CoRR Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
2017	B	`conf`	Compute-forward multiple access (CFMA) with nested LDPC codes. ISIT Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
2017	J	`jnl`	Cooperative Data Exchange based on MDS Codes. CoRR Su Li, Michael Gastpar
2017	B	`conf`	Cooperative data exchange based on MDS codes. ISIT Su Li, Michael Gastpar
2017	—	`conf`	Cooperative data exchange with weighted cost based on d-basis construction. Allerton Su Li, Abhin Shah, Michael Gastpar
2017	J	`jnl`	GDSP: A Graphical Perspective on the Distributed Storage Systems. CoRR Saeid Sahraei, Michael Gastpar
2017	B	`conf`	GDSP: A graphical perspective on the distributed storage systems. ISIT Saeid Sahraei, Michael Gastpar
2017	J	`jnl`	Gaussian Multiple Access via Compute-and-Forward. IEEE Trans. Inf. Theory Jingge Zhu, Michael Gastpar
2017	J	`jnl`	Increasing Availability in Distributed Storage Systems via Clustering. CoRR Saeid Sahraei, Michael Gastpar
2017	J	`jnl`	Information-Theoretic Caching: The Multi-User Case. IEEE Trans. Inf. Theory Sung Hoon Lim, Chien-Yi Wang, Michael Gastpar
2017	Misc	`conf`	On the duality between multiple-access codes and computation codes. ITA Jingge Zhu, Sung Hoon Lim, Michael Gastpar
2017	J	`jnl`	Polynomially Solvable Instances of the Shortest and Closest Vector Problems With Applications to Compute-and-Forward. IEEE Trans. Inf. Theory Saeid Sahraei, Michael Gastpar
2017	J	`jnl`	Secure Transmission on the Two-Hop Relay Channel With Scaled Compute-and-Forward. IEEE Trans. Inf. Theory Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar
2017	B	`conf`	Towards an algebraic network information theory: Simultaneous joint typicality decoding. ISIT Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
2016	J	`jnl`	A Joint Typicality Approach to Algebraic Network Information Theory. CoRR Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
2016	J	`jnl`	A New Converse Bound for Coded Caching. CoRR Chien-Yi Wang, Sung Hoon Lim, Michael Gastpar
2016	Misc	`conf`	A new converse bound for coded caching. ITA Chien-Yi Wang, Sung Hoon Lim, Michael Gastpar
2016	J	`jnl`	Computation in Multicast Networks: Function Alignment and Converse Theorems. IEEE Trans. Inf. Theory Changho Suh, Naveen Goela, Michael Gastpar
2016	J	`jnl`	Efficient Algorithms for the Data Exchange Problem. IEEE Trans. Inf. Theory Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2016	J	`jnl`	Information Theoretic Caching: The Multi-User Case. CoRR Sung Hoon Lim, Chien-Yi Wang, Michael Gastpar
2016	B	`conf`	Information theoretic caching: The multi-user case. ISIT Sung Hoon Lim, Chien-Yi Wang, Michael Gastpar
2016	J	`jnl`	Information-Theoretic Caching: Sequential Coding for Computing. IEEE Trans. Inf. Theory Chien-Yi Wang, Sung Hoon Lim, Michael Gastpar
2016	Misc	`conf`	K users caching two files: An improved achievable rate. CISS Saeid Sahraei, Michael Gastpar
2016	B	`conf`	Locally differentially-private distribution estimation. ISIT Adriano Pastore, Michael Gastpar
2016	J	`jnl`	Multi-Library Coded Caching. CoRR Saeid Sahraei, Michael Gastpar
2016	—	`conf`	Multi-library coded caching. Allerton Saeid Sahraei, Michael Gastpar
2016	B	`conf`	On the energy benefit of compute-and-forward for multiple unicasts. ISIT Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar
2016	Misc	`conf`	Typical sumsets of lattice points. ACSSC Jingge Zhu, Michael Gastpar
2016	—	`conf`	Typical sumsets of linear codes. Allerton Jingge Zhu, Michael Gastpar
2015	J	`jnl`	$K$ Users Caching Two Files: An Improved Achievable Rate. CoRR Saeid Sahraei, Michael Gastpar
2015	—	`conf`	A joint typicality approach to compute-forward. Allerton Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
2015	B	`conf`	A unified view on nearest-neighbor decoding rates for noncoherent and semicoherent fading channels. ISIT Adriano Pastore, Michael Gastpar
2015	—	`conf`	Coding theorems via linear codes: Joint decoding rate regions. ITW Fall Sung Hoon Lim, Michael Gastpar
2015	B	`conf`	Compute-and-forward using nested linear codes for the Gaussian MAC. ITW Jingge Zhu, Michael Gastpar
2015	J	`jnl`	Efficient Algorithms for the Data Exchange Problem. CoRR Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2015	J	`jnl`	Information-Theoretic Caching: Sequential Coding for Computing. CoRR Chien-Yi Wang, Sung Hoon Lim, Michael Gastpar
2015	B	`conf`	Information-theoretic caching. ISIT Chien-Yi Wang, Sung Hoon Lim, Michael Gastpar
2015	J	`jnl`	Interactive Computation of Type-Threshold Functions in Collocated Gaussian Networks. IEEE Trans. Inf. Theory Chien-Yi Wang, Sang-Woon Jeon, Michael Gastpar
2015	J	`jnl`	Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages. IEEE Trans. Inf. Theory Jingge Zhu, Michael Gastpar
2015	B	`conf`	On lattice codes for Gaussian interference channels. ISIT Jingge Zhu, Michael Gastpar
2015	J	`jnl`	Polar Codes for Broadcast Channels. IEEE Trans. Inf. Theory Naveen Goela, Emmanuel Abbe, Michael Gastpar
2015	J	`jnl`	Polynomially Solvable Instances of the Shortest and Closest Vector Problems with Applications to Compute-and-Forward. CoRR Saeid Sahraei, Michael Gastpar
2015	J	`jnl`	Random Access With Physical-Layer Network Coding. IEEE Trans. Inf. Theory Jasper Goseling, Michael Gastpar, Jos H. Weber
2015	J	`jnl`	Secure Transmission on the Two-hop Relay Channel with Scaled Compute-and-Forward. CoRR Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar
2015	B	`conf`	Secure transmission using an untrusted relay with scaled compute-and-forward. ITW Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar
2015	J	`jnl`	Typical sumsets of linear codes. CoRR Jingge Zhu, Michael Gastpar
2014	J	`jnl`	Approximate Ergodic Capacity of a Class of Fading Two-User Two-Hop Networks. IEEE Trans. Inf. Theory Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2014	J	`jnl`	Asymmetric Compute-and-Forward with CSIT. CoRR Jingge Zhu, Michael Gastpar
2014	J	`jnl`	Capacity Scaling of Cognitive Networks: Beyond Interference-Limited Communication. IEEE Trans. Inf. Theory Sang-Woon Jeon, Michael Gastpar
2014	J	`jnl`	Coding Schemes and Asymptotic Capacity for the Gaussian Broadcast and Interference Channels With Feedback. IEEE Trans. Inf. Theory Michael Gastpar, Amos Lapidoth, Yossef Steinberg, Michèle A. Wigger
2014	J	`jnl`	Computation Over Gaussian Networks With Orthogonal Components. IEEE Trans. Inf. Theory Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2014	J	`jnl`	Compute-and-Forward: Finding the Best Equation. CoRR Saeid Sahraei, Michael Gastpar
2014	—	`conf`	Compute-and-Forward: Finding the best equation. Allerton Saeid Sahraei, Michael Gastpar
2014	B	`conf`	Compute-and-forward for discrete memoryless networks. ITW Bobak Nazer, Michael Gastpar
2014	J	`jnl`	Functional Forwarding of Channel State Information. IEEE Trans. Inf. Theory Jiening Zhan, Michael Gastpar
2014	B	`conf`	Gaussian (dirty) multiple access channels: A compute-and-forward perspective. ISIT Jingge Zhu, Michael Gastpar
2014	J	`jnl`	Integer-Forcing Linear Receivers. IEEE Trans. Inf. Theory Jiening Zhan, Bobak Nazer, Uri Erez, Michael Gastpar
2014	J	`jnl`	Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages. CoRR Jingge Zhu, Michael Gastpar
2014	J	`jnl`	Maximum Throughput Gain of Compute-and-Forward for Multiple Unicast. IEEE Commun. Lett. Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar
2014	J	`jnl`	Multiple Access via Compute-and-Forward. CoRR Jingge Zhu, Michael Gastpar
2014	B	`conf`	On distributed successive refinement with lossless recovery. ISIT Chien-Yi Wang, Michael Gastpar
2013	J	`jnl`	Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds. IEEE Trans. Inf. Theory Galen Reeves, Michael Gastpar
2013	A*	`conf`	Capacity scaling of cognitive networks: Beyond interference-limited communication. INFOCOM Sang-Woon Jeon, Michael Gastpar
2013	J	`jnl`	Computation Over Gaussian Networks With Orthogonal Components. CoRR Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2013	B	`conf`	Computation over Gaussian networks with orthogonal components. ISIT Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2013	B	`conf`	Compute-and-Forward: Multiple bi-directional sessions on the line network. ISIT Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar
2013	J	`jnl`	Feedback Communication and Control Over a Single Channel. IEEE Trans. Inf. Theory Krishnan Eswaran, Michael Gastpar
2013	J	`jnl`	Function Identification in Neuron Populations via Information Bottleneck. Entropy S. Kartik Buddha, Kelvin So, Jose M. Carmena, Michael Gastpar
2013	J	`jnl`	Interactive Computation of Type-Threshold Functions in Collocated Broadcast-Superposition Networks. CoRR Chien-Yi Wang, Sang-Woon Jeon, Michael Gastpar
2013	B	`conf`	Interactive function computation. ISIT Changho Suh, Michael Gastpar
2013	B	`conf`	Lattice codes for many-to-one cognitive interference networks. ISIT Jingge Zhu, Michael Gastpar
2013	J	`jnl`	Linear Function Computation in Networks: Duality and Constant Gap Results. IEEE J. Sel. Areas Commun. Jiening Zhan, Se Yong Park, Michael Gastpar, Anant Sahai
2013	B	`conf`	Multi-round computation of type-threshold functions in collocated Gaussian networks. ISIT Chien-Yi Wang, Sang-Woon Jeon, Michael Gastpar
2013	—	`conf`	Network decomposition for function computation. SPAWC Changho Suh, Michael Gastpar
2013	B	`conf`	Physical-layer network coding on the random-access channel. ISIT Jasper Goseling, Michael Gastpar, Jos H. Weber
2013	J	`jnl`	Polar Codes For Broadcast Channels CoRR Naveen Goela, Emmanuel Abbe, Michael Gastpar
2013	B	`conf`	Polar codes for broadcast channels. ISIT Naveen Goela, Emmanuel Abbe, Michael Gastpar
2013	Misc	`conf`	Random access with physical-layer network coding. ITA Jasper Goseling, Michael Gastpar, Jos H. Weber
2012	J	`jnl`	A Survey on Interference Networks: Interference Alignment and Neutralization. Entropy Sang-Woon Jeon, Michael Gastpar
2012	J	`jnl`	Approximate Ergodic Capacity of a Class of Fading 2-user 2-hop Networks CoRR Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2012	J	`jnl`	Approximate Feedback Capacity of the Gaussian Multicast Channel CoRR Changho Suh, Naveen Goela, Michael Gastpar
2012	Misc	`conf`	Approximate ergodic capacity of a class of fading 2 × 2 × 2 Networks. ITA Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2012	B	`conf`	Approximate ergodic capacity of a class of fading 2-user 2-hop networks. ISIT Sang-Woon Jeon, Chien-Yi Wang, Michael Gastpar
2012	B	`conf`	Approximate feedback capacity of the Gaussian multicast channel. ISIT Changho Suh, Naveen Goela, Michael Gastpar
2012	Misc	`conf`	Compressed sensing phase transitions: Rigorous bounds versus replica predictions. CISS Galen Reeves, Michael Gastpar
2012	J	`jnl`	Computation in Multicast Networks: Function Alignment and Converse Theorems CoRR Changho Suh, Michael Gastpar, Naveen Goela
2012	—	`conf`	Computation in multicast networks: Function alignment and converse theorems. Allerton Conference Changho Suh, Naveen Goela, Michael Gastpar
2012	—	`conf`	Compute-and-forward on wireless lattice networks with local interference. ISWCS Jasper Goseling, Jos H. Weber, Michael Gastpar
2012	J	`jnl`	Data Exchange Problem with Helpers CoRR Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2012	B	`conf`	Data exchange problem with helpers. ISIT Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2012	B	`conf`	Degrees of freedom of sparsely connected wireless networks. ISIT Sang-Woon Jeon, Naveen Goela, Michael Gastpar
2012	—	`conf`	Efficient algorithms for the data exchange problem under fairness constraints. Allerton Conference Nebojsa Milosavljevic, Sameer Pawar, Michael Gastpar, Kannan Ramchandran
2012	J	`jnl`	Ergodic Interference Alignment. IEEE Trans. Inf. Theory Bobak Nazer, Michael Gastpar, Syed Ali Jafar, Sriram Vishwanath
2012	J	`jnl`	List-Decoding for the Arbitrarily Varying Channel Under State Constraints. IEEE Trans. Inf. Theory Anand D. Sarwate, Michael Gastpar
2012	J	`jnl`	Minimum Cost Multicast with Decentralized Sources CoRR Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2012	B	`conf`	Network coding with computation alignment. ITW Naveen Goela, Changho Suh, Michael Gastpar
2012	J	`jnl`	Random Access with Physical-layer Network Coding CoRR Jasper Goseling, Michael Gastpar, Jos H. Weber
2012	B	`conf`	Real-time prediction of fast and slow delivery of mental commands in a motor imagery BCI: An entropy-based approach. SMC Sareh Saeedi, Ricardo Chavarriaga, José del R. Millán, Michael Gastpar
2012	J	`jnl`	Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks CoRR Naveen Goela, Michael Gastpar
2012	J	`jnl`	Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks. IEEE Trans. Signal Process. Naveen Goela, Michael Gastpar
2012	J	`jnl`	Redundant information encoding in primary motor cortex during natural and prosthetic motor control. J. Comput. Neurosci. Kelvin So, Karunesh Ganguly, Jessica Jimenez, Michael Gastpar, Jose M. Carmena
2012	J	`jnl`	Relaxing the Gaussian AVC CoRR Anand D. Sarwate, Michael Gastpar
2012	J	`jnl`	The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing. IEEE Trans. Inf. Theory Galen Reeves, Michael Gastpar
2011	J	`jnl`	A Compressed Sensing Wire-Tap Channel CoRR Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, Michael Gastpar
2011	B	`conf`	A compressed sensing wire-tap channel. ITW Galen Reeves, Naveen Goela, Nebojsa Milosavljevic, Michael Gastpar
2011	—	`conf`	Assessing directed information as a method for inferring functional connectivity in neural ensembles. EMBC Kelvin So, Michael Gastpar, Jose M. Carmena
2011	J	`jnl`	Cognitive Radio Through Primary Control Feedback. IEEE J. Sel. Areas Commun. Krishnan Eswaran, Michael Gastpar, Kannan Ramchandran
2011	J	`jnl`	Compute-and-Forward: Harnessing Interference Through Structured Codes. IEEE Trans. Inf. Theory Bobak Nazer, Michael Gastpar
2011	B	`conf`	Deterministic algorithm for the cooperative data exchange problem. ISIT Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2011	—	`conf`	Function computation in networks: Duality and constant gap results. Allerton Jiening Zhan, Se Yong Park, Michael Gastpar, Anant Sahai
2011	J	`jnl`	Introduction to the Issue on Gossiping Algorithms Design and Applications. IEEE J. Sel. Top. Signal Process. Anna Scaglione, Mark Coates, Michael Gastpar, John N. Tsitsiklis, Martin Vetterli
2011	J	`jnl`	Line and Lattice Networks Under Deterministic Interference Models. IEEE Trans. Inf. Theory Jasper Goseling, Michael Gastpar, Jos H. Weber
2011	J	`jnl`	Local Interference Can Accelerate Gossip Algorithms. IEEE J. Sel. Top. Signal Process. Bobak Nazer, Alexandros G. Dimakis, Michael Gastpar
2011	B	`conf`	Mitigating interference with integer-forcing architectures. ISIT Jiening Zhan, Uri Erez, Michael Gastpar, Bobak Nazer
2011	—	`conf`	New achievable rates for the Gaussian broadcast channel with feedback. ISWCS Michael Gastpar, Amos Lapidoth, Yossef Steinberg, Michèle A. Wigger
2011	J	`jnl`	On the Role of Diversity in Sparsity Estimation CoRR Galen Reeves, Michael Gastpar
2011	B	`conf`	On the role of diversity in sparsity estimation. ISIT Galen Reeves, Michael Gastpar
2011	J	`jnl`	Optimal Deterministic Polynomial-Time Data Exchange for Omniscience CoRR Nebojsa Milosavljevic, Sameer Pawar, Salim Y. El Rouayheb, Michael Gastpar, Kannan Ramchandran
2011	B	`conf`	Practical code design for compute-and-forward. ISIT Or Ordentlich, Jiening Zhan, Uri Erez, Michael Gastpar, Bobak Nazer
2011	J	`jnl`	Reliable Physical Layer Network Coding CoRR Bobak Nazer, Michael Gastpar
2011	J	`jnl`	Reliable Physical Layer Network Coding. Proc. IEEE Bobak Nazer, Michael Gastpar
2010	J	`jnl`	"Compressed" Compressed Sensing CoRR Galen Reeves, Michael Gastpar
2010	B	`conf`	"Compressed" compressed sensing. ISIT Galen Reeves, Michael Gastpar
2010	Misc	`conf`	A greedy approach to the distributed Karhunen-Loève transform. ICASSP Alon Amar, Amir Leshem, Michael Gastpar
2010	J	`jnl`	A little feedback can simplify sensor network cooperation. IEEE J. Sel. Areas Commun. Anand D. Sarwate, Michael Gastpar
2010	J	`jnl`	Anthropic correction of information estimates and its application to neural coding. IEEE Trans. Inf. Theory Michael Gastpar, Patrick R. Gill, Alexander G. Huth, Frédéric E. Theunissen
2010	J	`jnl`	Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds CoRR Galen Reeves, Michael Gastpar
2010	J	`jnl`	Distributed Sensor Perception via Sparse Representation. Proc. IEEE Allen Y. Yang, Michael Gastpar, Ruzena Bajcsy, S. Shankar Sastry
2010	J	`jnl`	Fundamental Tradeoffs for Sparsity Pattern Recovery CoRR Galen Reeves, Michael Gastpar
2010	J	`jnl`	Integer-Forcing Linear Receivers CoRR Jiening Zhan, Bobak Nazer, Uri Erez, Michael Gastpar
2010	—	`conf`	Integer-Forcing Linear Receivers: A New Low-Complexity MIMO Architecture. VTC Fall Jiening Zhan, Bobak Nazer, Uri Erez, Michael Gastpar
2010	B	`conf`	Integer-forcing linear receivers. ISIT Jiening Zhan, Bobak Nazer, Uri Erez, Michael Gastpar
2010	B	`conf`	On LP decoding of polar codes. ITW Naveen Goela, Satish Babu Korada, Michael Gastpar
2010	Misc	`conf`	On decoding equations with partial channel state information. CISS Bobak Nazer, Michael Gastpar
2010	J	`jnl`	On the broadcast capacity of wireless networks with cooperative relays. IEEE Trans. Inf. Theory Birsen Sirkeci-Mergen, Michael Gastpar
2010	J	`jnl`	Rateless codes for AVC models. IEEE Trans. Inf. Theory Anand D. Sarwate, Michael Gastpar
2010	J	`jnl`	Recursive implementation of the distributed Karhunen-Loève transform. IEEE Trans. Signal Process. Alon Amar, Amir Leshem, Michael Gastpar
2010	B	`conf`	The role of game theory in key agreement over a public channel. ISIT Nebojsa Milosavljevic, Michael Gastpar, Kannan Ramchandran
2010	J	`jnl`	When Feedback Doubles the Prelog in AWGN Networks CoRR Michael Gastpar, Amos Lapidoth, Michèle A. Wigger
2010	J	`jnl`	Zero-rate feedback can achieve the empirical capacity. IEEE Trans. Inf. Theory Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar
2009	J	`jnl`	Compute-and-Forward: Harnessing Interference through Structured Codes CoRR Bobak Nazer, Michael Gastpar
2009	Misc	`conf`	Distributed Karhunen-Loève Transform with nested subspaces. ICASSP Naveen Goela, Michael Gastpar
2009	—	`book`	Distributed Source Coding - Theory, Algorithms and Applications. Pier Luigi Dragotti, Michael Gastpar
2009	J	`jnl`	Ergodic Interference Alignment CoRR Bobak Nazer, Michael Gastpar, Syed Ali Jafar, Sriram Vishwanath
2009	B	`conf`	Ergodic interference alignment. ISIT Bobak Nazer, Syed Ali Jafar, Michael Gastpar, Sriram Vishwanath
2009	B	`conf`	Functional forwarding of channel state information. ISIT Jiening Zhan, Michael Gastpar
2009	—	`conf`	Interference alignment at finite SNR: General message sets. Allerton Bobak Nazer, Michael Gastpar, Syed Ali Jafar, Sriram Vishwanath
2009	B	`conf`	Linear compressive networks. ISIT Naveen Goela, Michael Gastpar
2009	B	`conf`	MIMO compute-and-forward. ISIT Jiening Zhan, Uri Erez, Michael Gastpar, Bobak Nazer
2009	Misc	`conf`	Neighborhood gossip: Concurrent averaging through local interference. ICASSP Bobak Nazer, Alexandros G. Dimakis, Michael Gastpar
2009	B	`conf`	Secure communication using an untrusted relay via sources and channels. ISIT Nebojsa Milosavljevic, Michael Gastpar, Kannan Ramchandran
2009	B	`conf`	Some observations on limited feedback for multiaccess channels. ISIT Anand D. Sarwate, Michael Gastpar
2009	B	`conf`	Structured superposition for backhaul constrained cellular uplink. ISIT Bobak Nazer, Amichai Sanderovich, Michael Gastpar, Shlomo Shamai
2008	B	`conf`	Achievable rates for conferencing multiway channels. ISIT Krishnan Eswaran, Michael Gastpar
2008	Misc	`conf`	Adversarial interference models for multiantenna cooperative systems. CISS Anand D. Sarwate, Michael Gastpar
2008	—	`conf`	An observation about feedback from cognitive radio. ACSCC Krishnan Eswaran, Michael Gastpar
2008	B	`conf`	Arbitrarily dirty paper coding and applications. ISIT Anand D. Sarwate, Michael Gastpar
2008	J	`jnl`	Bits through ARQs CoRR Krishnan Eswaran, Michael Gastpar, Kannan Ramchandran
2008	—	`conf`	Compute-and-forward: A novel strategy for cooperative networks. ACSCC Bobak Nazer, Michael Gastpar
2008	B	`conf`	Compute-and-forward: Harnessing interference with structured codes. ISIT Bobak Nazer, Michael Gastpar
2008	—	`conf`	Local interference can accelerate gossip algorithms. Allerton Bobak Nazer, Alexandros G. Dimakis, Michael Gastpar
2008	B	`conf`	Sampling bounds for sparse support recovery in the presence of noise. ISIT Galen Reeves, Michael Gastpar
2008	B	`conf`	Sufficient-Statistics Based Multiple Access over Wireless Fading Channels. GLOBECOM Gökhan Mergen, Birsen Sirkeci-Mergen, Michael Gastpar
2008	J	`jnl`	The Case for Structured Random Codes in Network Capacity Theorems CoRR Bobak Nazer, Michael Gastpar
2008	J	`jnl`	The case for structured random codes in network capacity theorems. Eur. Trans. Telecommun. Bobak Nazer, Michael Gastpar
2008	—	`conf`	The case for structured random codes: Beyond linear models. Allerton Bobak Nazer, Michael Gastpar
2008	J	`jnl`	The pre-log of Gaussian broadcast with feedback can be two CoRR Michèle A. Wigger, Michael Gastpar
2008	B	`conf`	The pre-log of Gaussian broadcast with feedback can be two. ISIT Michèle A. Wigger, Michael Gastpar
2008	J	`jnl`	Theory and Applications in Multiuser/Multiterminal Communications. EURASIP J. Wirel. Commun. Netw. Huaiyu Dai, Michael Gastpar, Nihar Jindal, Liang-Liang Xie
2008	J	`jnl`	Uncoded Transmission Is Exactly Optimal for a Simple Gaussian "Sensor" Network. IEEE Trans. Inf. Theory Michael Gastpar
2007	B	`conf`	Bits through ARQs: Spectrum Sharing with a Primary Packet System. ISIT Krishnan Eswaran, Michael Gastpar, Kannan Ramchandran
2007	B	`conf`	Channels with nosy "noise". ISIT Anand D. Sarwate, Michael Gastpar
2007	J	`jnl`	Computation Over Multiple-Access Channels. IEEE Trans. Inf. Theory Bobak Nazer, Michael Gastpar
2007	B	`conf`	Computation over Gaussian Multiple-Access Channels. ISIT Bobak Nazer, Michael Gastpar
2007	J	`jnl`	Deterministic list codes for state-constrained arbitrarily varying channels CoRR Anand D. Sarwate, Michael Gastpar
2007	J	`jnl`	Introduction to the Special Issue on Models, Theory, and Codes for Relaying and Cooperation in Communication Networks [Guest Editorial]. IEEE Trans. Inf. Theory Gerhard Kramer, Randall Berry, Abbas El Gamal, Hesham El Gamal, Massimo Franceschetti, Michael Gastpar, J. Nicholas Laneman
2007	J	`jnl`	Limited feedback achieves the empirical capacity CoRR Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar
2007	J	`jnl`	On Capacity Under Receive and Spatial Spectrum-Sharing Constraints. IEEE Trans. Inf. Theory Michael Gastpar
2007	J	`jnl`	Rateless coding with partial state information at the decoder CoRR Anand D. Sarwate, Michael Gastpar
2007	B	`conf`	Using zero-rate feedback on binary additive channels with individual noise sequences. ISIT Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar
2006	Misc	`conf`	Achievable Error Exponents in Multiterminal Source Coding. CISS Krishnan Eswaran, Michael Gastpar
2006	B	`conf`	Computing over Multiple-Access Channels with Connections to Wireless Network Coding. ISIT Bobak Nazer, Michael Gastpar
2006	B	`conf`	Dependence Balance and the Gaussian Multiaccess Channel with Feedback. ITW Gerhard Kramer, Michael Gastpar
2006	J	`jnl`	Distributed signal processing in sensor networks [from the guest Editors]. IEEE Signal Process. Mag. Zhi-Quan Luo, Michael Gastpar, Juan Liu, Ananthram Swami
2006	B	`conf`	On The Significance Of Binning In A Scaling-law Sense. ITW Krishnan Eswaran, Michael Gastpar
2006	B	`conf`	On the Performance of Independently Designed LDPC Codes for the Relay Channel. ISIT Jeremie Ezri, Michael Gastpar
2006	B	`conf`	Randomization bounds on Gaussian arbitrarily varying channels. ISIT Anand D. Sarwate, Michael Gastpar
2006	—	`conf`	Sensing and Communication With and Without Bits. ICASSP (5) Michael Gastpar, Martin Vetterli, Pier Luigi Dragotti
2006	J	`jnl`	Sensing reality and communicating bits: a dangerous liaison. IEEE Signal Process. Mag. Michael Gastpar, Martin Vetterli, Pier Luigi Dragotti
2006	J	`jnl`	The Distributed Karhunen-Loève Transform. IEEE Trans. Inf. Theory Michael Gastpar, Pier Luigi Dragotti, Martin Vetterli
2005	B	`conf`	Boosting reliability over AWGN networks with average power constraints and noiseless feedback. ISIT Anant Sahai, Stark C. Draper, Michael Gastpar
2005	J	`jnl`	Cooperative Strategies and Capacity Theorems for Relay Network. IEEE Trans. Inf. Theory Gerhard Kramer, Michael Gastpar, Piyush Gupta
2005	B	`conf`	Discriminatory source coding for a noiseless broadcast channel. ISIT Leonard H. Grokop, Anant Sahai, Michael Gastpar
2005	—	`conf`	Fading observation alignment via feedback. IPSN Anand D. Sarwate, Michael Gastpar
2005	J	`jnl`	On the capacity of large Gaussian relay networks. IEEE Trans. Inf. Theory Michael Gastpar, Martin Vetterli
2005	B	`conf`	On the quadratic AWGN CEO problem and non-gaussian sources. ISIT Krishnan Eswaran, Michael Gastpar
2005	J	`jnl`	Power, spatio-temporal bandwidth, and distortion in large sensor networks. IEEE J. Sel. Areas Commun. Michael Gastpar, Martin Vetterli
2004	B	`conf`	A lower bound to the scaling behavior of sensor networks. ISIT Michael Gastpar, Martin Vetterli
2004	B	`conf`	Cut-set arguments for source-channel networks. ISIT Michael Gastpar
2004	—	`conf`	Distributed source-channel coding for wireless sensor networks. ICASSP (3) Michael Gastpar
2004	B	`conf`	Gaussian multiple-access channels under received-power constraints. ITW Michael Gastpar
2004	—	`conf`	On compression using the distributed Karhunen-Loeve transform. ICASSP (3) Michael Gastpar, Pier Luigi Dragotti, Martin Vetterli
2004	—	`conf`	Power-bandwidth-distortion scaling laws for sensor networks. IPSN Michael Gastpar, Martin Vetterli
2004	J	`jnl`	The Wyner-Ziv Problem With Multiple Sources. IEEE Trans. Inf. Theory Michael Gastpar
2003	—	`conf`	Distributed signal processing and communications: on the interaction of sources and channels. ICASSP (4) Thibaut Ajdler, Razvan Cristescu, Pier Luigi Dragotti, Michael Gastpar, Irena Maravic, Martin Vetterli
2003	—	`conf`	On Source-Channel Communication in Networks. Advances in Network Information Theory Michael Gastpar
2003	—	`conf`	Source-Channel Communication in Sensor Networks. IPSN Michael Gastpar, Martin Vetterli
2003	B	`conf`	Source-channel communication with feedback. ITW Michael Gastpar, Bixio Rimoldi
2003	B	`conf`	The Distributed, Partial, And Conditional Karhunen-Loève Transforms. DCC Michael Gastpar, Pier Luigi Dragotti, Martin Vetterli
2003	J	`jnl`	To code, or not to code: lossy source-channel communication revisited. IEEE Trans. Inf. Theory Michael Gastpar, Bixio Rimoldi, Martin Vetterli
2002	A*	`conf`	On the capacity of wireless networks: The relay case. INFOCOM Michael Gastpar, Martin Vetterli
2002	C	`conf`	The distributed Karhunen-Loeve transform. IEEE Workshop on Multimedia Signal Processing Michael Gastpar, Pier Luigi Dragotti, Martin Vetterli
2000	Misc	`conf`	On the necessary density for spectrum-blind nonuniform sampling subject to quantization. ICASSP Michael Gastpar, Yoram Bresler