Nir Weinberger

129 papers A* 8A 1B 37Journal 82Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concatenated Codes for Short-Molecule DNA Storage with Sequencing Channels of Positive Zero-Undetected-Error Capacity. CoRR Ran Tamir, Nir Weinberger, Albert Guillén i Fàbregas
2026	J	`jnl`	On the Capacity of Noisy Frequency-based Channels. CoRR Yuval Gerzon, Ilan Shomorony, Nir Weinberger
2026	J	`jnl`	Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings. CoRR Sreejith Sreekumar, Nir Weinberger
2025	J	`jnl`	A Toolbox for Refined Information-Theoretic Analyses. Found. Trends Commun. Inf. Theory Neri Merhav, Nir Weinberger
2025	J	`jnl`	Achievable Rates and Error Probability Bounds of Frequency-Based Channels of Unlimited Input Resolution. IEEE J. Sel. Areas Inf. Theory Ran Tamir, Nir Weinberger
2025	J	`jnl`	Achievable Rates and Error Probability Bounds of Frequency-based Channels of Unlimited Input Resolution. CoRR Ran Tamir, Nir Weinberger
2025	B	`conf`	Achievable Rates of Frequency-based Channels of Unlimited Input Resolution. ISIT Ran Tamir, Nir Weinberger
2025	J	`jnl`	BICompFL: Stochastic Federated Learning with Bi-Directional Compression. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	J	`jnl`	Capacity of Frequency-Based Channels: Encoding Information in Molecular Concentrations. IEEE Trans. Inf. Theory Yuval Gerzon, Ilan Shomorony, Nir Weinberger
2025	J	`jnl`	DNA Storage in the Short Molecule Regime. CoRR Ran Tamir, Nir Weinberger, Albert Guillén i Fàbregas
2025	B	`conf`	DeepDIVE: Optimizing Input-Constrained Distributions for Composite DNA Storage via Multinomial Channel. ISIT Adir Kobovich, Eitan Yaakobi, Nir Weinberger
2025	J	`jnl`	DeepDIVE: Optimizing Input-Constrained Distributions for Composite DNA Storage via Multinomial Channel. CoRR Adir Kobovich, Eitan Yaakobi, Nir Weinberger
2025	B	`conf`	Entropy Estimation from Queries and Auxiliary Distribution Samples. ISIT Nir Weinberger, Ran Tamir
2025	J	`jnl`	Error Exponents for DNA Storage Codes With a Variable Number of Reads. IEEE J. Sel. Areas Inf. Theory Yan Hao Ling, Nir Weinberger, Jonathan Scarlett
2025	J	`jnl`	Error Exponents for DNA Storage Codes with a Variable Number of Reads. CoRR Yan Hao Ling, Nir Weinberger, Jonathan Scarlett
2025	B	`conf`	Exploration-Exploitation Tradeoff in Universal Lossy Compression. ISIT Nir Weinberger, Ram Zamir
2025	J	`jnl`	Exploration-Exploitation Tradeoff in Universal Lossy Compression. CoRR Nir Weinberger, Ram Zamir
2025	J	`jnl`	Information Rates Over Multi-View Channels. IEEE Trans. Inf. Theory V Arvind Rameshwar, Nir Weinberger
2025	J	`jnl`	Input Optimization in the Composite DNA Storage Channel. IEEE J. Sel. Areas Inf. Theory Adir Kobovich, Nir Weinberger
2025	J	`jnl`	Maximal-Capacity Discrete Memoryless Channel Identification. IEEE Trans. Inf. Theory Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2025	B	`conf`	Mean Estimation in High-Dimensional Binary Timeinhomogeneous Markov Gaussian Mixture Models. ISIT Abd El Latif Kadry, Yihan Zhang, Nir Weinberger
2025	J	`jnl`	Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	B	`conf`	Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gündüz
2025	B	`conf`	On Achievable Rates Over Noisy Nanopore Channels. ITW V Arvind Rameshwar, Nir Weinberger
2025	J	`jnl`	On Achievable Rates Over Noisy Nanopore Channels. CoRR V Arvind Rameshwar, Nir Weinberger
2025	J	`jnl`	On Achievable Rates Over Noisy Nanopore Channels. IEEE J. Sel. Areas Inf. Theory V Arvind Rameshwar, Nir Weinberger
2025	A*	`conf`	On Bits and Bandits: Quantifying the Regret-Information Trade-off. ICLR Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
2025	B	`conf`	Optimal Overlap Detection of Shotgun Reads. ISIT Nir Luria, Nir Weinberger
2025	J	`jnl`	Optimal Overlap Detection of Shotgun Reads. CoRR Nir Luria, Nir Weinberger
2025	A*	`conf`	When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets. ICML Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
2025	J	`jnl`	When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets. CoRR Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
2024	J	`jnl`	A Toolbox for Refined Information-Theoretic Analyses with Applications. CoRR Neri Merhav, Nir Weinberger
2024	A*	`conf`	A representation-learning game for classes of prediction tasks. ICLR Neria Uzan, Nir Weinberger
2024	J	`jnl`	A representation-learning game for classes of prediction tasks. CoRR Neria Uzan, Nir Weinberger
2024	B	`conf`	Capacity of Frequency-based Channels: Encoding Information in Molecular Concentrations. ISIT Yuval Gerzon, Ilan Shomorony, Nir Weinberger
2024	J	`jnl`	Capacity of Frequency-based Channels: Encoding Information in Molecular Concentrations. CoRR Yuval Gerzon, Ilan Shomorony, Nir Weinberger
2024	B	`conf`	Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	J	`jnl`	Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	B	`conf`	Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics. ISIT Dror Freirich, Nir Weinberger, Ron Meir
2024	J	`jnl`	Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics. CoRR Dror Freirich, Nir Weinberger, Ron Meir
2024	J	`jnl`	Fundamental Limits of Reference-Based Sequence Reordering. IEEE Trans. Inf. Theory Nir Weinberger, Ilan Shomorony
2024	B	`conf`	Information Rates Over DMCs with Many Independent Views. ISIT V Arvind Rameshwar, Nir Weinberger
2024	J	`jnl`	Information Rates Over Multi-View Channels. CoRR V Arvind Rameshwar, Nir Weinberger
2024	J	`jnl`	Maximal-Capacity Discrete Memoryless Channel Identification. CoRR Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2024	J	`jnl`	On Bits and Bandits: Quantifying the Regret-Information Trade-off. CoRR Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
2024	A*	`conf`	Statistical curriculum learning: An elimination algorithm achieving an oracle risk. COLT Omer Cohen, Ron Meir, Nir Weinberger
2024	J	`jnl`	Statistical curriculum learning: An elimination algorithm achieving an oracle risk. CoRR Omer Cohen, Ron Meir, Nir Weinberger
2024	A*	`conf`	The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. ICLR Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
2024	J	`jnl`	The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. CoRR Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
2023	J	`jnl`	Design of optimal labeling patterns for optical genome mapping via information theory. Bioinform. Yevgeni Nogin, Daniella Bar-Lev, Dganit Hanania, Tahir Detinis Zur, Yuval Ebenstein, Eitan Yaakobi, Nir Weinberger, Yoav Shechtman
2023	B	`conf`	Fundamental Limits of Reference-Based Sequence Reordering. ISIT Nir Weinberger, Ilan Shomorony
2023	J	`jnl`	Fundamental Limits of Reference-Based Sequence Reordering. CoRR Nir Weinberger, Ilan Shomorony
2023	A*	`conf`	How do Minimum-Norm Shallow Denoisers Look in Function Space? NeurIPS Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
2023	J	`jnl`	How do Minimum-Norm Shallow Denoisers Look in Function Space? CoRR Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry
2023	J	`jnl`	Learning Maximum Margin Channel Decoders. IEEE Trans. Inf. Theory Amit Tsvieli, Nir Weinberger
2023	J	`jnl`	M-DAB: An Input-Distribution Optimization Algorithm for Composite DNA Storage by the Multinomial Channel. CoRR Adir Kobovich, Eitan Yaakobi, Nir Weinberger
2023	B	`conf`	Maximal-Capacity Discrete Memoryless Channel Identification. ISIT Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz, Nir Weinberger
2023	J	`jnl`	Multi-Armed Bandits With Self-Information Rewards. IEEE Trans. Inf. Theory Nir Weinberger, Michal Yemini
2023	B	`conf`	On Mismatched Oblivious Relaying. ISIT Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz
2023	J	`jnl`	On Mismatched Oblivious Relaying. CoRR Michael Dikshtein, Nir Weinberger, Shlomo Shamai
2023	A*	`conf`	Quantifying the Loss of Acyclic Join Dependencies. PODS Batya Kenig, Nir Weinberger
2023	A	`conf`	Robust Linear Regression for General Feature Distribution. AISTATS Tom Norman, Nir Weinberger, Kfir Y. Levy
2022	J	`jnl`	Error Probability Bounds for Coded-Index DNA Storage Systems. IEEE Trans. Inf. Theory Nir Weinberger
2022	J	`jnl`	Error Probability Bounds for Coded-Index DNA Storage. CoRR Nir Weinberger
2022	J	`jnl`	Generalization Bounds and Algorithms for Learning to Communicate Over Additive Noise Channels. IEEE Trans. Inf. Theory Nir Weinberger
2022	B	`conf`	Learning Maximum Margin Channel Decoders for Non-linear Gaussian Channels. ISIT Amit Tsvieli, Nir Weinberger
2022	J	`jnl`	Learning Maximum Margin Channel Decoders. CoRR Amit Tsvieli, Nir Weinberger
2022	A*	`conf`	Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models. NeurIPS Yihan Zhang, Nir Weinberger
2022	J	`jnl`	Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models. CoRR Yihan Zhang, Nir Weinberger
2022	J	`jnl`	Multi-Armed Bandits with Self-Information Rewards. CoRR Nir Weinberger, Michal Yemini
2022	B	`conf`	On Information Bottleneck for Gaussian Processes. ITW Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz
2022	J	`jnl`	On Information Bottleneck for Gaussian Processes. CoRR Michael Dikshtein, Nir Weinberger, Shlomo Shamai
2022	B	`conf`	On Information-Theoretic Determination of Misspecified Rates of Convergence. ISIT Nir Weinberger, Meir Feder
2022	J	`jnl`	Quantifying the Loss of Acyclic Join Dependencies. CoRR Batya Kenig, Nir Weinberger
2022	J	`jnl`	Robust Linear Regression for General Feature Distribution. CoRR Tom Norman, Nir Weinberger, Kfir Y. Levy
2022	J	`jnl`	The Compound Information Bottleneck Outlook. CoRR Michael Dikshtein, Nir Weinberger, Shlomo Shamai
2022	B	`conf`	The Compound Information Bottleneck Program. ISIT Michael Dikshtein, Nir Weinberger, Shlomo Shamai Shitz
2022	B	`conf`	The DNA Storage Channel: Capacity and Error Probability Bounds. ISIT Nir Weinberger, Neri Merhav
2022	J	`jnl`	The DNA Storage Channel: Capacity and Error Probability Bounds. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2022	J	`jnl`	The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures. J. Mach. Learn. Res. Nir Weinberger, Guy Bresler
2022	B	`conf`	Upper Confidence Interval Strategies for Multi-Armed Bandits with Entropy Rewards. ISIT Nir Weinberger, Michal Yemini
2021	J	`jnl`	Generalization Bounds and Algorithms for Learning to Communicate over Additive Noise Channels. CoRR Nir Weinberger
2021	J	`jnl`	The DNA Storage Channel: Capacity and Error Probability. CoRR Nir Weinberger, Neri Merhav
2021	J	`jnl`	The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures. CoRR Nir Weinberger, Guy Bresler
2020	J	`jnl`	Guessing with a Bit of Help. Entropy Nir Weinberger, Ofer Shayevitz
2020	J	`jnl`	Large Deviations Behavior of the Logarithmic Error Probability of Random Codes. IEEE Trans. Inf. Theory Ran Tamir, Neri Merhav, Nir Weinberger, Albert Guillén i Fàbregas
2020	B	`conf`	Learning Additive Noise Channels: Generalization Bounds and Algorithms. ISIT Nir Weinberger
2020	J	`jnl`	k-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions. IEEE Trans. Inf. Theory Nir Weinberger, Meir Feder
2019	B	`conf`	Exponent Trade-off for Hypothesis Testing Over Noisy Channels. ISIT Nir Weinberger, Yuval Kochman, Michèle A. Wigger
2019	J	`jnl`	Expurgated Bounds for the Asymmetric Broadcast Channel. IEEE Trans. Inf. Theory Ran Averbuch, Nir Weinberger, Neri Merhav
2019	J	`jnl`	Large Deviations Behavior of the Logarithmic Error Probability of Random Codes. CoRR Ran Tamir, Neri Merhav, Nir Weinberger, Albert Guillen i Fabregas
2019	J	`jnl`	On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. IEEE Trans. Inf. Theory Nir Weinberger, Yuval Kochman
2019	J	`jnl`	Self-Predicting Boolean Functions. SIAM J. Discret. Math. Nir Weinberger, Ofer Shayevitz
2019	—	`conf`	k-vectors: An Alternating Minimization Algorithm for Learning Regression Functions. Allerton Nir Weinberger, Meir Feder
2018	J	`jnl`	Guessing with a Bit of Help. CoRR Nir Weinberger, Ofer Shayevitz
2018	B	`conf`	Guessing with a Boolean Helper. ISIT Nir Weinberger, Ofer Shayevitz
2018	B	`conf`	On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. ISIT Nir Weinberger, Yuval Kochman
2018	J	`jnl`	On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection. CoRR Nir Weinberger, Yuval Kochman
2018	J	`jnl`	On the VC-Dimension of Binary Codes. SIAM J. Discret. Math. Sihuang Hu, Nir Weinberger, Ofer Shayevitz
2018	B	`conf`	Self-Predicting Boolean Functions. ISIT Nir Weinberger, Ofer Shayevitz
2018	J	`jnl`	Self-Predicting Boolean Functions. CoRR Nir Weinberger, Ofer Shayevitz
2017	J	`jnl`	A Large Deviations Approach to Secure Lossy Compression. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2017	J	`jnl`	Channel Detection in Coded Communication. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2017	J	`jnl`	Expurgated Bounds for the Asymmetric Broadcast Channel. CoRR Ran Averbuch, Nir Weinberger, Neri Merhav
2017	J	`jnl`	Lower Bounds on Parameter Modulation-Estimation Under Bandwidth Constraints. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2017	B	`conf`	Lower bounds on parameter modulation-estimation under bandwidth constraints. ISIT Nir Weinberger, Neri Merhav
2017	J	`jnl`	On the Optimal Boolean Function for Prediction Under Quadratic Loss. IEEE Trans. Inf. Theory Nir Weinberger, Ofer Shayevitz
2017	J	`jnl`	On the VC-Dimension of Binary Codes. CoRR Sihuang Hu, Nir Weinberger, Ofer Shayevitz
2017	B	`conf`	On the VC-dimension of binary codes. ISIT Sihuang Hu, Nir Weinberger, Ofer Shayevitz
2017	J	`jnl`	Simplified Erasure/List Decoding. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2016	B	`conf`	A large deviations approach to secure lossy compression. ISIT Nir Weinberger, Neri Merhav
2016	J	`jnl`	Erasure/List Random Coding Error Exponents Are Not Universally Achievable. IEEE Trans. Inf. Theory Wasim Huleihel, Nir Weinberger, Neri Merhav
2016	J	`jnl`	Lower Bounds on Parameter Modulation-Estimation Under Bandwidth Constraints. CoRR Nir Weinberger, Neri Merhav
2016	J	`jnl`	On the Optimal Boolean Function for Prediction under Quadratic Loss. CoRR Nir Weinberger, Ofer Shayevitz
2016	B	`conf`	On the optimal boolean function for prediction under quadratic loss. ISIT Nir Weinberger, Ofer Shayevitz
2015	J	`jnl`	A Large Deviations Approach to Secure Lossy Compression. CoRR Nir Weinberger, Neri Merhav
2015	J	`jnl`	Channel Detection in Coded Communication. CoRR Nir Weinberger, Neri Merhav
2015	B	`conf`	Erasure/list random coding error exponents are not universally achievable. ITW Nir Weinberger, Wasim Huleihel, Neri Merhav
2015	J	`jnl`	Optimum Tradeoffs Between the Error Exponent and the Excess-Rate Exponent of Variable-Rate Slepian-Wolf Coding. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2015	B	`conf`	Optimum trade-offs between error exponent and excess-rate exponent of Slepian-Wolf coding. ISIT Nir Weinberger, Neri Merhav
2015	B	`conf`	Simplified erasure/list decoding. ISIT Nir Weinberger, Neri Merhav
2014	J	`jnl`	Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding. IEEE Trans. Inf. Theory Nir Weinberger, Neri Merhav
2014	B	`conf`	Codeword or noise? Exact random coding exponents for slotted asynchronism. ISIT Nir Weinberger, Neri Merhav
2014	J	`jnl`	Erasure/List Random Coding Error Exponents Are Not Universally Achievable. CoRR Wasim Huleihel, Nir Weinberger, Neri Merhav
2014	J	`jnl`	Large Deviations Analysis of Variable-Rate Slepian-Wolf Coding. CoRR Nir Weinberger, Neri Merhav
2014	B	`conf`	Large deviations analysis of variable-rate Slepian-Wolf coding. ISIT Nir Weinberger, Neri Merhav
2014	J	`jnl`	Simplified Erasure/List Decoding. CoRR Nir Weinberger, Neri Merhav
2011	B	`conf`	Universal decoding over Gaussian fading channels - metric calculation and performance evaluation. ISIT Nir Weinberger, Meir Feder
2008	B	`conf`	Universal decoding for linear Gaussian fading channels in the competitive minimax sense. ISIT Nir Weinberger, Meir Feder