Leo Kozachkov

According to our database, Leo Kozachkov authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation.

Franz A. Heinsen, Leo Kozachkov

CoRR, February, 2026

A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems.

Xavier Gonzalez, Estefany Kelly Buchanan, Hyun Dong Lee, Jerry Weihong Liu, Ke Alexander Wang, David M. Zoltowski, Leo Kozachkov, Christopher Ré, Scott W. Linderman

Trans. Mach. Learn. Res., 2026

2025

NRGPT: An Energy-based Alternative for GPT.

Nima Dehmamy, Benjamin Hoover, Bishwajit Saha, Leo Kozachkov, Jean-Jacques E. Slotine, Dmitry Krotov

CoRR, December, 2025

InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics.

Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan

CoRR, October, 2025

Predictability Enables Parallelization of Nonlinear State Space Models.

Xavier Gonzalez, Leo Kozachkov, David M. Zoltowski, Kenneth L. Clarkson, Scott W. Linderman

CoRR, August, 2025

Characterizing control between interacting subsystems with deep Jacobian estimation.

Adam Eisen, Mitchell Ostrow, Sarthak Chandra, Leo Kozachkov, Earl K. Miller, Ila R. Fiete

CoRR, July, 2025

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation.

Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi

CoRR, June, 2025

Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation.

Franz A. Heinsen, Leo Kozachkov

Trans. Mach. Learn. Res., 2025

2024

Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy.

John Tauber, Scott L. Brincat, Emily P. Stephen, Jacob A. Donoghue, Leo Kozachkov, Emery N. Brown, Earl K. Miller

J. Cogn. Neurosci., February, 2024

Is All Learning (Natural) Gradient Descent?

Lucas Shoji, Kenta Suzuki, Leo Kozachkov

CoRR, 2024

2023

Generalization as Dynamical Robustness-The Role of Riemannian Contraction in Supervised Learning.

Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine

Trans. Mach. Learn. Res., 2023

Contraction Properties of the Global Workspace Primitive.

Michaela Ennis, Leo Kozachkov, Jean-Jacques E. Slotine

CoRR, 2023

Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis.

Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Robust and brain-like working memory through short-term synaptic plasticity.

Leo Kozachkov, John Tauber, Mikael Lundqvist, Scott L. Brincat, Jean-Jacques E. Slotine, Earl K. Miller

PLoS Comput. Biol., December, 2022

Generalization in Supervised Learning Through Riemannian Contraction.

Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine

CoRR, 2022

RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks.

Leo Kozachkov, Michaela Ennis, Jean-Jacques E. Slotine

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Recursive Construction of Stable Assemblies of Recurrent Neural Networks.

Michaela Ennis, Leo Kozachkov, Jean-Jacques E. Slotine

CoRR, 2021

2020

Achieving stable dynamics in neural circuits.

Leo Kozachkov, Mikael Lundqvist, Jean-Jacques E. Slotine, Earl K. Miller

PLoS Comput. Biol., 2020

Sequence Learning in Associative Neuronal-Astrocytic Networks.

Leo Kozachkov, Konstantinos P. Michmizos

Proceedings of the Brain Informatics - 13th International Conference, 2020

2017

The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study.

Leo Kozachkov, Konstantinos P. Michmizos

CoRR, 2017