Alexia Jolicoeur-Martineau | DeepAI

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∙ 09/18/2023

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees

Tabular data is hard to acquire and is subject to missing values. This p...

0 Alexia Jolicoeur-Martineau, et al. ∙

∙ 04/12/2023

Diffusion models with location-scale noise

Diffusion Models (DMs) are powerful generative models that add Gaussian ...

0 Alexia Jolicoeur-Martineau, et al. ∙

∙ 04/06/2023

PopulAtion Parameter Averaging (PAPA)

Ensemble methods combine the predictions of multiple models to improve p...

0 Alexia Jolicoeur-Martineau, et al. ∙

∙ 10/18/2022

CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback

We propose a novel regularizer for supervised learning called Conditioni...

11 Alexia Jolicoeur-Martineau, et al. ∙

∙ 05/19/2022

Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Video prediction is a challenging task. The quality of video frames from...

23 Vikram Voleti, et al. ∙

∙ 05/28/2021

Gotta Go Fast When Generating Data with Score-Based Models

Score-based (denoising diffusion) generative models have recently gained...

37 Alexia Jolicoeur-Martineau, et al. ∙

∙ 09/11/2020

Adversarial score matching and improved sampling for image generation

Denoising score matching with Annealed Langevin Sampling (DSM-ALS) is a ...

10 Alexia Jolicoeur-Martineau, et al. ∙

∙ 07/08/2020

Stochastic Hamiltonian Gradient Methods for Smooth Games

The success of adversarial formulations in machine learning has brought ...

45 Nicolas Loizou, et al. ∙

∙ 10/15/2019

Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs

We generalize the concept of maximum-margin classifiers (MMCs) to arbitr...

48 Alexia Jolicoeur-Martineau, et al. ∙

∙ 01/08/2019

On Relativistic f-Divergences

This paper provides a more rigorous look at Relativistic Generative Adve...

0 Alexia Jolicoeur-Martineau, et al. ∙

∙ 09/06/2018

GANs beyond divergence minimization

Generative adversarial networks (GANs) can be interpreted as an adversar...

0 Alexia Jolicoeur-Martineau, et al. ∙

∙ 07/02/2018

The relativistic discriminator: a key element missing from standard GAN

In standard generative adversarial network (SGAN), the discriminator est...

2 Alexia Jolicoeur-Martineau, et al. ∙

∙ 12/11/2017

Distinguishing differential susceptibility, diathesis-stress and vantage sensitivity: beyond the single gene and environment model

Currently, two main approaches exist to distinguish differential suscept...

0 Alexia Jolicoeur-Martineau, et al. ∙

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