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PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency,
Arun Padakandla, Abram Magner,
AISTATS 2022
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Local Limit Theorems for Approximate Maximum Likelihood Estimation of Network Information Spreading Models,
Abram Magner, Amith Kumar Singh,
ISIT 2022
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Toward universal testing of dynamic network models,
Abram Magner, Wojciech Szpankowski,
ALT 2020
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The Power of Graph Convolutional Networks to Distinguish Random Graph Models,
Abram Magner, Mayank Baranwal, Alfred Hero Iii,
ISIT 2020
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Compression of Preferential Attachment Graphs,
Tomasz Luczak, Abram Magner, Wojciech Szpankowski,
ISIT 2019
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Network Archaeology via Epidemic Processes: The Case of Growing Trees,
Abram Magner, Arun Padakandla,
Allerton 2018
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TIMES: Temporal Information Maximally Extracted from Structures,
Abram Magner, Jithin Sreedharan, Ananth Grama, Wojciech Szpankowski,
WWW 2018
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On Symmetries of Non-Plane Trees in a Non-Uniform Model,
Jacek Cichon, Abram Magner, Wojciech Szpankowski, Krzysztof Turowski,
ANALCO 2017
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Entropy of some general plane trees,
Zbigniew Golebiewski, Abram Magner, Wojciech Szpankowski,
ISIT 2017
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Recovery of vertex orderings in dynamic graphs,
Abram Magner, Ananth Grama, Jithin Sreedharan, Wojciech Szpankowski,
ISIT 2017
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The Boltzmann sequence-structure channel,
Abram Magner, Daisuke Kihara, Wojciech Szpankowski,
ISIT 2016
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Variance of Size in Regular Graph Tries,
Philippe Jacquet ■, Abram Magner,
ANALCO 2015
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Phase transitions in a sequence-structure channel,
Abram Magner, Daisuke Kihara, Wojciech Szpankowski,
ITA 2015
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Expected External Profile of PATRICIA Tries,
Abram Magner ■, Charles Knessl, Wojciech Szpankowski,
ANALCO 2014
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Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures,
Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh,
IEEE Access 2023
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Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions,
Mayank Baranwal, Abram Magner, Jacob Saldinger, Emine Turali Emre, Paolo Elvati, Shivani Kozarekar, Scott Vanepps, Nicholas Kotov, Angela Violi, Alfred Hero Iii,
BMC Bioinform. 2022
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Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification,
Abram Magner, Mayank Baranwal, Alfred Hero Iii,
IEEE Trans. Inf. Theory 2022
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Fast and Accurate Spreading Process Temporal Scale Estimation,
Abram Magner, Carolyn Kaminski, Petko Bogdanov,
Trans. Mach. Learn. Res. 2022
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Compression of Dynamic Graphs Generated by a Duplication Model,
Krzysztof Turowski, Abram Magner, Wojciech Szpankowski,
Algorithmica 2020
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A deep learning architecture for metabolic pathway prediction,
Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred Hero Iii,
Bioinform. 2020
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Asymmetric Rényi Problem,
Michael Drmota, Abram Magner, Wojciech Szpankowski,
Comb. Probab. Comput. 2019
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Asymmetry and structural information in preferential attachment graphs,
Tomasz Luczak, Abram Magner, Wojciech Szpankowski,
Random Struct. Algorithms 2019
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Entropy and Optimal Compression of Some General Plane Trees,
Zbigniew Golebiewski, Abram Magner, Wojciech Szpankowski,
ACM Trans. Algorithms 2019
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Profiles of PATRICIA Tries,
Abram Magner, Wojciech Szpankowski,
Algorithmica 2018
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Lossless Compression of Binary Trees With Correlated Vertex Names,
Abram Magner, Krzysztof Turowski, Wojciech Szpankowski,
IEEE Trans. Inf. Theory 2018
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A Study of the Boltzmann Sequence-Structure Channel,
Abram Magner, Daisuke Kihara, Wojciech Szpankowski,
Proc. IEEE 2017
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Large Deviations for Increasing Subsequences of Permutations and a Concurrency Application,
Yuliy Baryshnikov, Abram Magner,
SIGMETRICS Perform. Evaluation Rev. 2017
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Fundamental Bounds for Sequence Reconstruction From Nanopore Sequencers,
Abram Magner, Jaroslaw Duda, Wojciech Szpankowski, Ananth Grama,
IEEE Trans. Mol. Biol. Multi Scale Commun. 2016
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On Symmetry of Uniform and Preferential Attachment Graphs,
Abram Magner ■, Svante Janson, Giorgios Kollias, Wojciech Szpankowski,
Electron. J. Comb. 2014
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