Leo Kozachkov: Publications

* co-first author   † co-senior author

2025

• Heinsen, F. A., and Kozachkov, L.
  Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
  Transactions on Machine Learning Research, 2025
  [Link][Code]
• Zoltowski, D. M., Wu, S., Gonzalez, X., Kozachkov, L., and Linderman, S. W.
  Parallelizing MCMC Across the Sequence Length
  NeurIPS, 2025
  [Link][Code]
• Gonzalez, X^*, Kozachkov, L.^*, Zoltowski, D. M., Clarkson, K. L., and Linderman, S. W.
  Predictability Enables Parallelization of Nonlinear State Space Models
  NeurIPS, 2025
  [Link]
• Eisen, A. J., Ostrow, M., Chandra, S., Kozachkov, L., Miller, E. K., and Fiete, I. R.
  Characterizing control between interacting subsystems with deep Jacobian estimation
  NeurIPS (Spotlight), 2025
  [Link]
• Keller, R., Tornell, A., Pei, F., Pitkow, X., Kozachkov, L.^†, and Nayebi, A.^†
  Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
  NeurIPS, 2025
  [Link]
• Shoji, L., Suzuki, K., and Kozachkov, L.
  Effective Learning Rules as Natural Gradient Descent
  Neural Computation (to appear), 2025
  [Link]
• Kozachkov, L., Slotine, J.-J., and Krotov, D.
  Neuron-astrocyte associative memory
  Proceedings of the National Academy of Sciences, 2025
  [Link][Code]

2024

• Eisen, A.^*, Kozachkov, L.^*, Bastos, A., Donoghue, J., Mahnke, M., Brincat, S., Chandra, S., Brown, E., Fiete, I., and Miller, E. K.
  Propofol anesthesia destabilizes neural dynamics across cortex
  Neuron, 2024
  [Link][Code]

2023

• Tauber, J., Brincat, S., Stephen, E., Donoghue, J., Kozachkov, L., Brown, E., and Miller, E. K.
  Propofol mediated unconsciousness disrupts progression of sensory signals through the cortical hierarchy
  Journal of Cognitive Neuroscience, 2023
  [Link]
• Ostrow, M., Eisen, A., Kozachkov, L., and Fiete, I.
  Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
  Neural Information Processing Systems, 2023
  [Link][Code]
• Kozachkov, L., Kastanenka, K. V., and Krotov, D.
  Building Transformers from Neurons and Astrocytes
  Proceedings of the National Academy of Sciences, 2023
  [Link][Code]
• Kozachkov, L., Wensing, P., and Slotine, J.-J.
  Generalization as Dynamical Robustness: The Role of Riemannian Contraction in Supervised Learning
  Transactions on Machine Learning Research, 2023
  [Link]

2022

• Kozachkov, L.^*, Tauber, J.^*, Brincat, S., Slotine, J.-J., and Miller, E. K.
  Robust and Brain-Like Working Memory through Short-Term Synaptic Plasticity
  PLoS Computational Biology, 2022
  [Link]
• Kozachkov, L., and Slotine, J.-J.
  Matrix Measure Flows: A Novel Approach to Stable Plasticity in Neural Networks
  arXiv preprint, 2022
  [Link]
• Kozachkov, L.^*, Ennis, M.^*, and Slotine, J.-J.
  RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
  Neural Information Processing Systems, 2022
  [Link]

2020

• Kozachkov, L.^*, Lundqvist, M.^*, Slotine, J.-J., and Miller, E. K.
  Achieving stable dynamics in neural circuits
  PLoS Computational Biology, 2020
  [Link]
• Kozachkov, L., and Michmizos, K.
  Sequence learning in Associative Neuronal–Astrocytic Networks
  13th International Conference on Brain Informatics, 2020
  [Link]

2017

• Kozachkov, L., and Michmizos, K.
  The causal role of astrocytes in slow-wave rhythmogenesis: A computational modelling study
  arXiv preprint, 2017
  [Link]