1 code implementation • 31 May 2023 • Polina Turishcheva, Paul G. Fahey, Laura Hansel, Rachel Froebe, Kayla Ponder, Michaela Vystrčilová, Konstantin F. Willeke, Mohammad Bashiri, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker
We hope this competition will continue to strengthen the accompanying Sensorium benchmarks collection as a standard tool to measure progress in large-scale neural system identification models of the entire mouse visual hierarchy and beyond.
no code implementations • 7 Dec 2022 • Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Grosse
Variational autoencoders (VAEs) are powerful tools for learning latent representations of data used in a wide range of applications.
no code implementations • 25 Jan 2022 • Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van Den Broeck
We propose a loss, neuro-symbolic entropy regularization, that encourages the model to confidently predict a valid object.
1 code implementation • 21 May 2021 • Eric Wang, Pasha Khosravi, Guy Van Den Broeck
Understanding the behavior of learned classifiers is an important task, and various black-box explanations, logical reasoning approaches, and model-specific methods have been proposed.
no code implementations • 20 Mar 2021 • Kareem Ahmed, Eric Wang, Guy Van Den Broeck, Kai-Wei Chang
We study the problem of entity-relation extraction in the presence of symbolic domain knowledge.
no code implementations • ICLR 2021 • Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Y. Walker, Santiago A Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S Ecker, Fabian H. Sinz
With this new readout we train our network on neural responses from mouse primary visual cortex (V1) and obtain a gain in performance of 7% compared to the previous state-of-the-art network.
1 code implementation • ICLR 2019 • Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon
Sorting input objects is an important step in many machine learning pipelines.
no code implementations • 11 Feb 2015 • Karl Ni, Roger Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric Wang
We train our three-layer deep neural network on the Yahoo!
no code implementations • NeurIPS 2010 • Eric Wang, Dehong Liu, Jorge Silva, Lawrence Carin, David B. Dunson
An objective of such analysis is to infer structure and inter-relationships underlying the matrices, here defined by latent features associated with each axis of the matrix.