Michael Robert DeWeese
Orcid: 0000-0003-2801-5768
  According to our database1,
  Michael Robert DeWeese
  authored at least 26 papers
  between 1995 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on zbmath.org
- 
    on orcid.org
- 
    on id.loc.gov
On csauthors.net:
Bibliography
  2025
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks.
    
  
    CoRR, June, 2025
    
  
Solvable Dynamics of Self-Supervised Word Embeddings and the Emergence of Analogical Reasoning.
    
  
    CoRR, February, 2025
    
  
  2023
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks.
    
  
    Trans. Mach. Learn. Res., 2023
    
  
  2022
    Proceedings of the International Conference on Machine Learning, 2022
    
  
  2021
    Neural Comput., 2021
    
  
  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
    
  
  2019
On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding.
    
  
    Frontiers Comput. Neurosci., 2019
    
  
  2017
Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations.
    
  
    Entropy, 2017
    
  
  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
    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
    
  
    Frontiers Comput. Neurosci., 2011
    
  
    Proceedings of the 28th International Conference on Machine Learning, 2011
    
  
  2002
    Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
    
  
  1998
  1995
    Proceedings of the Advances in Neural Information Processing Systems 8, 1995