Christopher Hillar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Maximum Entropy

Transformation Based Learning

Biologically Plausible

Top Venues

Publications

Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks. CoRR (2024)
Giovanni Luca Marchetti, Christopher Hillar, Danica Kragic, Sophia Sanborn
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. CoRR (2023)
Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher Hillar
Bispectral Neural Networks. CoRR (2022)
Christopher Hillar, Tenzin Chan, Rachel Taubman, David Rolnick
Hidden Hypergraphs, Error-Correcting Codes, and Critical Learning in Hopfield Networks. Entropy 23 (11) (2021)
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
Biologically Plausible Sequence Learning with Spiking Neural Networks. AAAI (2020)
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
Biologically Plausible Sequence Learning with Spiking Neural Networks. CoRR (2019)
Badr F. Albanna, Christopher Hillar, Jascha Sohl-Dickstein, Michael Robert DeWeese
Minimum and Maximum Entropy Distributions for Binary Systems with Known Means and Pairwise Correlations. Entropy 19 (8) (2017)