Christopher Hillar
Orcid: 0000-0001-8575-2663Affiliations:
- Awecom, Inc., San Francisco, CA, USA
- University of California Berkeley, Redwood Center for Theoretical Neuroscience, CA, USA (former)
According to our database1,
Christopher Hillar
authored at least 50 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
CoRR, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2021
Hidden Hypergraphs, Error-Correcting Codes, and Critical Learning in Hopfield Networks.
Entropy, 2021
2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
On the Uniqueness and Stability of Dictionaries for Sparse Representation of Noisy Signals.
IEEE Trans. Signal Process., 2019
2017
Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations.
Entropy, 2017
Revisiting Perceptual Distortion for Natural Images: Mean Discrete Structural Similarity Index.
Proceedings of the 2017 Data Compression Conference, 2017
2016
Corrigendum to "Finiteness theorems and algorithms for permutation invariant chains of Laurent lattice ideals" [J. Symb. Comput. 50(March 2013) 314-334].
J. Symb. Comput., 2016
2015
IEEE Trans. Inf. Theory, 2015
Discovery of Salient Low-Dimensional Dynamical Structure in Neuronal Population Activity Using Hopfield Networks.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015
Robust Discovery of Temporal Structure in Multi-neuron Recordings Using Hopfield Networks.
Proceedings of the INNS Conference on Big Data 2015, 2015
Exploring discrete approaches to lossy compression schemes for natural image patches.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
A hopfield recurrent neural network trained on natural images performs state-of-the-art image compression.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Finiteness theorems and algorithms for permutation invariant chains of Laurent lattice ideals.
J. Symb. Comput., 2013
2012
2011
Randomization, Sums of Squares, and Faster Real Root Counting for Tetranomials and Beyond.
CoRR, 2011
2010
Electron. J. Comb., 2010
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Am. Math. Mon., 2009
2008
J. Comb. Theory B, 2008
Proceedings of the Symbolic and Algebraic Computation, International Symposium, 2008
2007
2006
Comput. Geom., 2006
2005
J. Symb. Comput., 2005
2004
2003
2002
SIAM J. Matrix Anal. Appl., 2002
2001