Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets. - Yunjie Liu; Evan Racah; Prabhat; Joaquin Correa; Amir Khosrowshahi; David Lavers; Kenneth Kunkel; Michael F. Wehner; William D. Collins (CoRR, 2016)

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. - Urs Köster; Tristan Webb; Xin Wang; Marcel Nassar; Arjun K. Bansal; William Constable; Oguz Elibol; Stewart Hall; Luke Hornof; Amir Khosrowshahi; Carey Kloss; Ruby J. Pai; et al. (NIPS, 2017)

Design of optical neural networks with component imprecisions. - Michael Y.-S. Fang; Sasikanth Manipatruni; Casimir Wierzynski; Amir Khosrowshahi; Michael Robert DeWeese (CoRR, 2020)

Integer Factorization with Compositional Distributed Representations. - Denis Kleyko; Connor Bybee; Christopher J. Kymn; Bruno A. Olshausen; Amir Khosrowshahi; Dmitri E. Nikonov; Friedrich T. Sommer; Edward Paxon Frady (NICE, 2022)

Efficient Optimization with Higher-Order Ising Machines. - Connor Bybee; Denis Kleyko; Dmitri E. Nikonov; Amir Khosrowshahi; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2022)

Learning and Inference in Sparse Coding Models With Langevin Dynamics. - Michael Y.-S. Fang; Mayur Mudigonda; Ryan Zarcone; Amir Khosrowshahi; Bruno A. Olshausen (Neural Comput., 2022)