Publications

Notable publications

Deep Learning

Unsupervised, Generative Deep Learning

On Relativistic f-Divergences
[arXiv:1901.02474]
Relativistic GAN
[ICLR2019] [arXiv:1807.00734]
Artistic Style Transfer
[ICLR2017] [arXiv:1610.07629] [Aigaion]
Deep Exponential Families
[AISTATS 2015] [arXiv:1411.2581]
Generative Models
[ICLR2014] [arXiv:1311.6184] [Aigaion]

Recurrent Neural Networks

Recurrent Batch Normalization
[arXiv:1603.09025]
Regularizing RNNs
[ICLR 2016] [arXiv:1511.08400]
Latent random variables
[arXiv:1506.02216] [Aigaion]

Neural Language Modelling and Natural Language Processing

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Event Coreference Resolution
[*SEM2018] [arXiv:1805.10985] [Aigaion]

Generic Methods to Improve Training and Generalization

A Many-Objective Evolutionary Algorithm with Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning
RandomOut: Using a convolutional gradient norm to rescue convolutional filters
[arXiv:1602.05931]
Recombinator Networks
[CVPR 2016] [arXiv:1511.07356]
Stochastic k-Neighborhood
[ICML2013]
Toronto Paper Matching System
[ICML2013]
Framework for Paper Matching
[UAI2011]

Deep Learning for Speech and Signals

Char2Wav: End-to-End Speech Synthesis

Efficient Implementations of Deep Nets

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

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 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]

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

Reinforcement learning & Planning

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

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]

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]

Bioinformatics

Towards The Latent Transcriptome
Learning to predict if protein model is correct
Towards Gene Expression Convolutions using Gene Interaction Graphs

Graph Neural Networks

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

Computer Vision

Attention based pruning for shift networks

Apprentissage par Renforcement

Leveraging exploration in off-policy algorithms via normalizing flows
[arXiv:1905.06893]
Learning Causal State Representations of Partially Observable Environments
Learning Powerful Policies by Using Consistent Dynamics Model
Variational State Encoding as Intrinsic Motivation in Reinforcement Learning
Active Domain Randomization
Hyperbolic Discounting and Learning over Multiple Horizons
Separating value functions across time-scales
Prioritizing Starting States for Reinforcement Learning
Count-Based Exploration with the Successor Representation

Robotique

INFER: INtermediate representations for FuturE pRediction
Deep Generative Modeling of LiDAR Data

Applications Médicales

U-Net Fixed-Point Quantization for Medical Image Segmentation
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
A Survey of Mobile Computing for the Visually Impaired
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Count-ception: Counting by Fully Convolutional Redundant Counting

Vision par Ordinateur

U-Net Fixed-Point Quantization for Medical Image Segmentation
On Relativistic f-Divergences
[arXiv:1901.02474]
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Count-ception: Counting by Fully Convolutional Redundant Counting

Hardware

Bit-Slicing FPGA Accelerator for Quantized Neural Networks

Multi-Agent Systems

Learning by Demonstration in Repeated Stochastic Games
[AAMAS '11] [Aigaion]
Répertoire d'articles de MilaQuelques thèses de Mila
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Mila passe en mode virtuel

À partir du 16 mars 2020, Mila redirige ses activités vers des plateformes virtuelles afin de minimiser la diffusion de COVID-19.

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