A. Khosrowshahi

发表

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

Xin Wang, Stewart Hall, Arjun K. Bansal, 2017, NIPS.

The laminar organization of V1 neural activity in response to dynamic natural scenes

A. Khosrowshahi, 2011 .

Learning and Inference in Sparse Coding Models with Langevin Dynamics

Michael Y.-S. Fang, B. Olshausen, A. Khosrowshahi, 2022, 2204.11150.

Learning and Inference in Sparse Coding Models With Langevin Dynamics

Michael Y.-S. Fang, B. Olshausen, A. Khosrowshahi, 2022, Neural Computation.

Integer Factorization with Compositional Distributed Representations

Dmitri E. Nikonov, Christopher J. Kymn, B. Olshausen, 2022, NICE.

Efficient optimization with higher-order Ising machines

B. Olshausen, F. Sommer, D. Nikonov, 2022, Nature communications.

Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets pdf

Prabhat, Michael F. Wehner, Yunjie Liu, 2016, ArXiv.

ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms

Gaute T. Einevoll, Marianne Fyhn, Torkel Hafting, 2015, Journal of Neuroscience Methods.

Design of optical neural networks with component imprecisions

Sasikanth Manipatruni, Michael R. DeWeese, Amir Khosrowshahi, 2019, Optics express.

Motion Synthesis for 3 Articulated Figures and Mass-Spring Models

Joe Marks, Hadi Partovi, Jon Christensen, 1994 .