Leo Kozachkov

22 papers A* 2Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems.
Trans. Mach. Learn. Res.
Xavier Gonzalez, Estefany Kelly Buchanan, Hyun Dong Lee, Jerry Weihong Liu, Ke Alexander Wang, David M. Zoltowski, Leo Kozachkov, Christopher Ré, Scott W. Linderman
2026 J jnl
Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation.
CoRR
Franz A. Heinsen, Leo Kozachkov
2025 J jnl
Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation.
CoRR
Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
2025 J jnl
Characterizing control between interacting subsystems with deep Jacobian estimation.
CoRR
Adam Eisen, Mitchell Ostrow, Sarthak Chandra, Leo Kozachkov, Earl K. Miller, Ila R. Fiete
2025 J jnl
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation.
CoRR
Franz A. Heinsen, Leo Kozachkov
2025 J jnl
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation.
Trans. Mach. Learn. Res.
Franz A. Heinsen, Leo Kozachkov
2025 J jnl
InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics.
CoRR
Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan
2025 J jnl
NRGPT: An Energy-based Alternative for GPT.
CoRR
Nima Dehmamy, Benjamin Hoover, Bishwajit Saha, Leo Kozachkov, Jean-Jacques E. Slotine, Dmitry Krotov
2025 J jnl
Predictability Enables Parallelization of Nonlinear State Space Models.
CoRR
Xavier Gonzalez, Leo Kozachkov, David M. Zoltowski, Kenneth L. Clarkson, Scott W. Linderman
2024 J jnl
Is All Learning (Natural) Gradient Descent?
CoRR
Lucas Shoji, Kenta Suzuki, Leo Kozachkov
2024 J jnl
Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy.
J. Cogn. Neurosci.
John Tauber, Scott L. Brincat, Emily P. Stephen, Jacob A. Donoghue, Leo Kozachkov, Emery N. Brown, Earl K. Miller
2023 A* conf
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis.
NeurIPS
Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
2023 J jnl
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis.
CoRR
Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
2023 J jnl
Contraction Properties of the Global Workspace Primitive.
CoRR
Michaela Ennis, Leo Kozachkov, Jean-Jacques E. Slotine
2023 J jnl
Generalization as Dynamical Robustness-The Role of Riemannian Contraction in Supervised Learning.
Trans. Mach. Learn. Res.
Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine
2022 J jnl
Generalization in Supervised Learning Through Riemannian Contraction.
CoRR
Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine
2022 A* conf
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks.
NeurIPS
Leo Kozachkov, Michaela Ennis, Jean-Jacques E. Slotine
2022 J jnl
Robust and brain-like working memory through short-term synaptic plasticity.
PLoS Comput. Biol.
Leo Kozachkov, John Tauber, Mikael Lundqvist, Scott L. Brincat, Jean-Jacques E. Slotine, Earl K. Miller
2021 J jnl
Recursive Construction of Stable Assemblies of Recurrent Neural Networks.
CoRR
Michaela Ennis, Leo Kozachkov, Jean-Jacques E. Slotine
2020 J jnl
Achieving stable dynamics in neural circuits.
PLoS Comput. Biol.
Leo Kozachkov, Mikael Lundqvist, Jean-Jacques E. Slotine, Earl K. Miller
2020 — conf
Sequence Learning in Associative Neuronal-Astrocytic Networks.
BI
Leo Kozachkov, Konstantinos P. Michmizos
2017 J jnl
The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study.
CoRR
Leo Kozachkov, Konstantinos P. Michmizos