Publications

Notable publications

Deep Learning

Bioinformatics

Learning to predict if protein model is correct

Bridging the Gap Between Deep Learning and Neuroscience

Generalization of Equilibrium Propagation to Vector Field Dynamics
[arXiv:1808.04873]
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
[arXiv:1711.08416]
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
[arXiv:1602.05179]
From STDP towards Biologically Plausible Deep Learning
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity
[arXiv:1612.03214]
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model

Deep Learning for Speech and Signals

Char2Wav: End-to-End Speech Synthesis

Deep Learning for Video

Temporal Structure In Videos
[ICCV 2015] [arXiv:1502.08029] [Aigaion]
RNNs for Emotion Recognition
[ICMI 2015] [Aigaion]
Recurrent Convolutional Networks for Video
[ICLR 2016] [arXiv:1511.06432]
Describing Multimedia Content
[IEEETM2015] [arXiv:1507.01053]
Recurrent "Grammar Cells"
[NIPS 2014]

Efficient Implementations of Deep Nets

Large Output Spaces
[NIPS 2015] [arXiv:1412.7091]

Generic Methods to Improve Training and Generalization

A Many-Objective Evolutionary Algorithm with Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning
Recombinator Networks
[CVPR 2016] [arXiv:1511.07356]
Stochastic k-Neighborhood
[ICML2013]
Toronto Paper Matching System
[ICML2013]
Framework for Paper Matching
[UAI2011]

Graph Neural Networks

Graph Attention Networks
[ICLR2018] [arXiv:1710.10903] [Aigaion]

Graphical Model

Modeling User Exposure in Recommendation
[WWW 2016] [arXiv:1510.07025]
Dynamic Poisson Factorization
[RecSys 2015] [arXiv:1509.04640]
Content-based recommendations
[NIPS 2014]
Bootstrap Collaborative Filtering
[KDD 2014]
Active Learning for Matching Problems
[ICML2012] [arXiv:1206.4647]

Learning Theory and Optimization for Deep Learning

A Many-Objective Evolutionary Algorithm with Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning
Deep Learning

Multi-Agent Systems

Learning by Demonstration in Repeated Stochastic Games
[AAMAS '11] [Aigaion]

Neural Language Modelling and Natural Language Processing

Event Coreference Resolution
[*SEM2018] [arXiv:1805.10985] [Aigaion]

Publications With Demo

Artistic Style Transfer
[ICLR2017] [arXiv:1610.07629] [Aigaion]
Char2Wav: End-to-End Speech Synthesis
GuessWhat?!
[CVPR2017] [arXiv:1611.08481]
Temporal Structure In Videos
[ICCV 2015] [arXiv:1502.08029] [Aigaion]

Recurrent Neural Networks

Recurrent Batch Normalization
[arXiv:1603.09025]
Regularizing RNNs
[ICLR 2016] [arXiv:1511.08400]

Reinforcement learning & Planning

Learning by Demonstration in Repeated Stochastic Games
[AAMAS '11] [Aigaion]
Hierarchical POMDP
[UAI2008] [arXiv:1206.3291]
Planning in Observable Environments
[NIPS2006]

Unsupervised, Generative Deep Learning

The relativistic discriminator: a key element missing from standard GAN
Artistic Style Transfer
[ICLR2017] [arXiv:1610.07629] [Aigaion]
Deep Exponential Families
[AISTATS 2015] [arXiv:1411.2581]
Generative Models
[ICLR2014] [arXiv:1311.6184] [Aigaion]
Papers directory from MILA Some theses from MILA