Maxim Raginsky
21 papers · 1999–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 19% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Maxim Raginsky?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Joshua Hanson, Eduardo Sontag
4 papers
· 2019–2024
· L4DC, NeurIPS
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Rademacher complexity of neural ODEs via Chen-Fliess series
L4DC 2024
Learning Recurrent Neural Net Models of Nonlinear Systems
L4DC 2021
Universal Simulation of Stable Dynamical Systems by Recurrent Neural Nets
L4DC 2020
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
NeurIPS 2019
6 papers whose co-authors appear nowhere else under this name
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
L4DC 2023
Conference on Learning Theory 2022: Preface
COLT 2022
Information-theoretic generalization bounds for black-box learning algorithms
NeurIPS 2021
Minimax Statistical Learning with Wasserstein distances
NeurIPS 2018
Sequential prediction with coded side information under logarithmic loss
ALT 2018
Information-theoretic analysis of generalization capability of learning algorithms
NeurIPS 2017