Abram Magner - RankMe

50 papers A* 2A 1B 10Misc 1Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lie Group Symmetry Discovery and Enforcement Using Vector Fields. CoRR Ben Shaw, Sasidhar Kunapuli, Abram Magner, Kevin R. Moon
2025	J	`jnl`	Sparse Coding Representation of 2-way Data. CoRR Boya Ma, Abram Magner, Maxwell McNeil, Petko Bogdanov
2024	J	`jnl`	A deep learning architecture for metabolic pathway prediction. Bioinform. Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III
2024	B	`conf`	Empirical Risk Minimization and Uniform Convergence for Probabilistically Observed and Quantum Measurement Hypothesis Classes. ISIT Abram Magner, Arun Padakandla
2024	J	`jnl`	Fat shattering, joint measurability, and PAC learnability of POVM hypothesis classes. Quantum Inf. Process. Abram Magner, Arun Padakandla
2024	A*	`conf`	Low Rank Multi-Dictionary Selection at Scale. KDD Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
2024	J	`jnl`	Low Rank Multi-Dictionary Selection at Scale. CoRR Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
2024	A*	`conf`	Symmetry Discovery Beyond Affine Transformations. NeurIPS Ben Shaw, Abram Magner, Kevin R. Moon
2024	J	`jnl`	Symmetry Discovery Beyond Affine Transformations. CoRR Ben Shaw, Abram Magner, Kevin R. Moon
2023	J	`jnl`	Fat Shattering, Joint Measurability, and PAC Learnability of POVM Hypothesis Classes. CoRR Abram Magner, Arun Padakandla
2023	J	`jnl`	Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. IEEE Access Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
2023	J	`jnl`	Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures. CoRR Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh
2022	J	`jnl`	Fast and Accurate Spreading Process Temporal Scale Estimation. Trans. Mach. Learn. Res. Abram Magner, Carolyn S. Kaminski, Petko Bogdanov
2022	J	`jnl`	Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification. IEEE Trans. Inf. Theory Abram Magner, Mayank Baranwal, Alfred O. Hero III
2022	B	`conf`	Local Limit Theorems for Approximate Maximum Likelihood Estimation of Network Information Spreading Models. ISIT Abram Magner, Amith Kumar Singh
2022	A	`conf`	PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency. AISTATS Arun Padakandla, Abram Magner
2022	J	`jnl`	Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions. BMC Bioinform. Mayank Baranwal, Abram Magner, Jacob Saldinger, Emine Sumeyra Turali-Emre, Paolo Elvati, Shivani Kozarekar, J. Scott Vanepps, Nicholas A. Kotov, Angela Violi, Alfred O. Hero III
2021	B	`conf`	On Dimension in Graph Convolutional Networks for Distinguishing Random Graph Models. ISIT Abram Magner
2021	J	`jnl`	Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment. CoRR Abram Magner, Carolyn S. Kaminski, Petko Bogdanov
2020	J	`jnl`	A deep learning architecture for metabolic pathway prediction. Bioinform. Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III
2020	J	`jnl`	Compression of Dynamic Graphs Generated by a Duplication Model. Algorithmica Krzysztof Turowski, Abram Magner, Wojciech Szpankowski
2020	B	`conf`	The Power of Graph Convolutional Networks to Distinguish Random Graph Models. ISIT Abram Magner, Mayank Baranwal, Alfred O. Hero III
2020	J	`jnl`	The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version. CoRR Abram Magner, Mayank Baranwal, Alfred O. Hero III
2020	B	`conf`	Toward universal testing of dynamic network models. ALT Abram Magner, Wojciech Szpankowski
2019	J	`jnl`	Asymmetric Rényi Problem. Comb. Probab. Comput. Michael Drmota, Abram Magner, Wojciech Szpankowski
2019	J	`jnl`	Asymmetry and structural information in preferential attachment graphs. Random Struct. Algorithms Tomasz Luczak, Abram Magner, Wojciech Szpankowski
2019	B	`conf`	Compression of Preferential Attachment Graphs. ISIT Tomasz Luczak, Abram Magner, Wojciech Szpankowski
2019	J	`jnl`	Entropy and Optimal Compression of Some General Plane Trees. ACM Trans. Algorithms Zbigniew Golebiewski, Abram Magner, Wojciech Szpankowski
2019	J	`jnl`	Goodness of Fit Testing for Dynamic Networks. CoRR Abram Magner, Wojciech Szpankowski
2019	J	`jnl`	The Power of Graph Convolutional Networks to Distinguish Random Graph Models. CoRR Abram Magner, Mayank Baranwal, Alfred O. Hero III
2018	—	`conf`	Compression of Dynamic Graphs Generated by a Duplication Model. Allerton Krzysztof Turowski, Abram Magner, Wojciech Szpankowski
2018	J	`jnl`	Lossless Compression of Binary Trees With Correlated Vertex Names. IEEE Trans. Inf. Theory Abram Magner, Krzysztof Turowski, Wojciech Szpankowski
2018	—	`conf`	Network Archaeology via Epidemic Processes: The Case of Growing Trees. Allerton Abram Magner, Arun Padakandla
2018	J	`jnl`	Profiles of PATRICIA Tries. Algorithmica Abram Magner, Wojciech Szpankowski
2017	J	`jnl`	A Study of the Boltzmann Sequence-Structure Channel. Proc. IEEE Abram Magner, Daisuke Kihara, Wojciech Szpankowski
2017	B	`conf`	Entropy of some general plane trees. ISIT Zbigniew Golebiewski, Abram Magner, Wojciech Szpankowski
2017	J	`jnl`	Large Deviations for Increasing Subsequences of Permutations and a Concurrency Application. SIGMETRICS Perform. Evaluation Rev. Yuliy M. Baryshnikov, Abram Magner
2017	J	`jnl`	Large Deviations for Increasing Subsequences of Permutations and a Concurrency Application. SIGMETRICS Perform. Evaluation Rev. Yuliy M. Baryshnikov, Abram Magner
2017	—	`conf`	On Symmetries of Non-Plane Trees in a Non-Uniform Model. ANALCO Jacek Cichon, Abram Magner, Wojciech Szpankowski, Krzysztof Turowski
2017	B	`conf`	Recovery of vertex orderings in dynamic graphs. ISIT Abram Magner, Ananth Grama, Jithin K. Sreedharan, Wojciech Szpankowski
2016	J	`jnl`	Asymmetric Rényi Problem and PATRICIA Tries. CoRR Michael Drmota, Abram Magner, Wojciech Szpankowski
2016	J	`jnl`	Combining Density and Overlap (CoDO): A New Method for Assessing the Significance of Overlap Among Subgraphs. CoRR Abram Magner, Shahin Mohammadi, Ananth Grama
2016	J	`jnl`	Fundamental Bounds for Sequence Reconstruction From Nanopore Sequencers. IEEE Trans. Mol. Biol. Multi Scale Commun. Abram Magner, Jaroslaw Duda, Wojciech Szpankowski, Ananth Grama
2016	B	`conf`	Lossless compression of binary trees with correlated vertex names. ISIT Abram Magner, Krzysztof Turowski, Wojciech Szpankowski
2016	B	`conf`	The Boltzmann sequence-structure channel. ISIT Abram Magner, Daisuke Kihara, Wojciech Szpankowski
2015	Misc	`conf`	Phase transitions in a sequence-structure channel. ITA Abram Magner, Daisuke Kihara, Wojciech Szpankowski
2015	—	`—`	Profiles of PATRICIA Tries Abram Magner
2015	—	`conf`	Variance of Size in Regular Graph Tries. ANALCO Philippe Jacquet, Abram Magner
2014	—	`conf`	Expected External Profile of PATRICIA Tries. ANALCO Abram Magner, Charles Knessl, Wojciech Szpankowski
2014	J	`jnl`	On Symmetry of Uniform and Preferential Attachment Graphs. Electron. J. Comb. Abram Magner, Svante Janson, Giorgios Kollias, Wojciech Szpankowski