Michael Robert DeWeese

Orcid: 0000-0003-2801-5768

According to our database1, Michael Robert DeWeese authored at least 24 papers between 1995 and 2023.

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Bibliography

2023
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks.
Trans. Mach. Learn. Res., 2023

2022
Reverse Engineering the Neural Tangent Kernel.
Proceedings of the International Conference on Machine Learning, 2022

2021
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses.
Neural Comput., 2021

Neural Tangent Kernel Eigenvalues Accurately Predict Generalization.
CoRR, 2021

2020
Efficient sensory coding of multidimensional stimuli.
PLoS Comput. Biol., 2020

Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise.
Neural Comput., 2020

A new method for parameter estimation in probabilistic models: Minimum probability flow.
CoRR, 2020

Design of optical neural networks with component imprecisions.
CoRR, 2020

2019
On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding.
Frontiers Comput. Neurosci., 2019

Thermodynamic Computing.
CoRR, 2019

Numerically Recovering the Critical Points of a Deep Linear Autoencoder.
CoRR, 2019

2017
Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations.
Entropy, 2017

2015
A Device for Human Ultrasonic Echolocation.
IEEE Trans. Biomed. Eng., 2015

Time resolution dependence of information measures for spiking neurons: scaling and universality.
Frontiers Comput. Neurosci., 2015

Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality.
CoRR, 2015

2014
Hamiltonian Monte Carlo Without Detailed Balance.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Sparse Coding Models Can Exhibit Decreasing Sparseness while Learning Sparse Codes for Natural Images.
PLoS Comput. Biol., 2013

2012
Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus.
PLoS Comput. Biol., 2012

2011
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., 2011

How Should Prey Animals Respond to Uncertain Threats?
Frontiers Comput. Neurosci., 2011

Minimum Probability Flow Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

2002
Binary Coding in Auditory Cortex.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

1998
Asymmetric Dynamics in Optimal Variance Adaptation.
Neural Comput., 1998

1995
Optimization Principles for the Neural Code.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995


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