Michael Robert DeWeese

29 papers A* 3Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks. CoRR Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James B. Simon, Michael Robert DeWeese, Surya Ganguli, Nina Miolane
2025	J	`jnl`	Solvable Dynamics of Self-Supervised Word Embeddings and the Emergence of Analogical Reasoning. CoRR Dhruva Karkada, James B. Simon, Yasaman Bahri, Michael Robert DeWeese
2023	J	`jnl`	The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks. Trans. Mach. Learn. Res. James B. Simon, Madeline Dickens, Dhruva Karkada, Michael Robert DeWeese
2022	A*	`conf`	Reverse Engineering the Neural Tangent Kernel. ICML James Benjamin Simon, Sajant Anand, Michael Robert DeWeese
2021	J	`jnl`	Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. Neural Comput. Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard
2021	J	`jnl`	Neural Tangent Kernel Eigenvalues Accurately Predict Generalization. CoRR James B. Simon, Madeline Dickens, Michael Robert DeWeese
2021	J	`jnl`	Reverse Engineering the Neural Tangent Kernel. CoRR James B. Simon, Sajant Anand, Michael Robert DeWeese
2020	J	`jnl`	A new method for parameter estimation in probabilistic models: Minimum probability flow. CoRR Jascha Sohl-Dickstein, Peter Battaglino, Michael Robert DeWeese
2020	J	`jnl`	Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. CoRR Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard
2020	J	`jnl`	Design of optical neural networks with component imprecisions. CoRR Michael Y.-S. Fang, Sasikanth Manipatruni, Casimir Wierzynski, Amir Khosrowshahi, Michael Robert DeWeese
2020	J	`jnl`	Efficient sensory coding of multidimensional stimuli. PLoS Comput. Biol. Thomas E. Yerxa, Eric Kee, Michael Robert DeWeese, Emily A. Cooper
2020	J	`jnl`	Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise. Neural Comput. Pratik S. Sachdeva, Jesse A. Livezey, Michael Robert DeWeese
2019	J	`jnl`	Numerically Recovering the Critical Points of a Deep Linear Autoencoder. CoRR Charles G. Frye, Neha S. Wadia, Michael Robert DeWeese, Kristofer E. Bouchard
2019	J	`jnl`	On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding. Frontiers Comput. Neurosci. Eric McVoy Dodds, Michael Robert DeWeese
2019	J	`jnl`	Thermodynamic Computing. CoRR Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik
2017	J	`jnl`	Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations. Entropy Badr F. Albanna, Christopher Hillar, Jascha Sohl-Dickstein, Michael Robert DeWeese
2015	J	`jnl`	A Device for Human Ultrasonic Echolocation. IEEE Trans. Biomed. Eng. Jascha Sohl-Dickstein, Santani Teng, Benjamin M. Gaub, Chris C. Rodgers, Crystal Li, Michael Robert DeWeese, Nicol S. Harper
2015	J	`jnl`	Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality. CoRR Sarah E. Marzen, Michael Robert DeWeese, James P. Crutchfield
2015	J	`jnl`	Time resolution dependence of information measures for spiking neurons: scaling and universality. Frontiers Comput. Neurosci. James P. Crutchfield, Michael Robert DeWeese, Sarah E. Marzen
2014	A*	`conf`	Hamiltonian Monte Carlo Without Detailed Balance. ICML Jascha Sohl-Dickstein, Mayur Mudigonda, Michael Robert DeWeese
2013	J	`jnl`	Sparse Coding Models Can Exhibit Decreasing Sparseness while Learning Sparse Codes for Natural Images. PLoS Comput. Biol. Joel Zylberberg, Michael Robert DeWeese
2012	J	`jnl`	Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus. PLoS Comput. Biol. Nicole L. Carlson, Vivienne L. Ming, Michael Robert DeWeese
2011	J	`jnl`	A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields. PLoS Comput. Biol. Joel Zylberberg, Jason Timothy Murphy, Michael Robert DeWeese
2011	J	`jnl`	How Should Prey Animals Respond to Uncertain Threats? Frontiers Comput. Neurosci. Joel Zylberberg, Michael Robert DeWeese
2011	A*	`conf`	Minimum Probability Flow Learning. ICML Jascha Sohl-Dickstein, Peter Battaglino, Michael Robert DeWeese
2009	J	`jnl`	Minimum Probability Flow Learning CoRR Jascha Sohl-Dickstein, Peter Battaglino, Michael Robert DeWeese
2002	—	`conf`	Binary Coding in Auditory Cortex. NIPS Michael Robert DeWeese, Anthony M. Zador
1998	J	`jnl`	Asymmetric Dynamics in Optimal Variance Adaptation. Neural Comput. Michael Robert DeWeese, Anthony M. Zador
1995	—	`conf`	Optimization Principles for the Neural Code. NIPS Michael Robert DeWeese