activity
20122023
most citedChallenges in Representation Learning: A report on three machine learning contests

103 citations · 142 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2023★ 5 cited

Crystal-GFN: sampling crystals with desirable properties and constraints

Mila AI4Science, :, Alex Hernandez-Garcia +11

The discovery of novel solid-state materials, such as electrocatalysts, super-ionic conductors, or photovoltaic materials, plays a critical role in addressing various global challe…

cs.CY2020★ 2 cited

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

Prateek Gupta, Tegan Maharaj, Martin Weiss +26

The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) method…

cs.LG2020★ 8 cited

Predicting Infectiousness for Proactive Contact Tracing

Yoshua Bengio, Prateek Gupta, Tegan Maharaj +20

The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread lockdowns for emergency containment. Large-sca…

cs.LG2016★ 10 cited

Diet Networks: Thin Parameters for Fat Genomics

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi +7

Learning tasks such as those involving genomic data often poses a serious challenge: the number of input features can be orders of magnitude larger than the number of training exam…

cs.SC2016

Theano: A Python framework for fast computation of mathematical expressions

The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110

Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has bee…

stat.ML2013★ 103 cited

Challenges in Representation Learning: A report on three machine learning contests

Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25

The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the…

cs.LG2012★ 14 cited

Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions

Heng Luo, Pierre Luc Carrier, Aaron Courville +1

We apply the spike-and-slab Restricted Boltzmann Machine (ssRBM) to texture modeling. The ssRBM with tiled-convolution weight sharing (TssRBM) achieves or surpasses the state-of-th…