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ORCIDAlexia Jolicoeur-Martineau
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2020 – today
- 2024
[j1]Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien:
PopulAtion Parameter Averaging (PAPA). Trans. Mach. Learn. Res. 2024 (2024)- [c6]Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman:
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. AISTATS 2024: 1288-1296 - [i15]Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu:
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR abs/2405.16287 (2024) - [i14]Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal:
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion. CoRR abs/2406.05630 (2024) - [i13]Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang:
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR abs/2407.09357 (2024) - 2023
- [i12]Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien:
PopulAtion Parameter Averaging (PAPA). CoRR abs/2304.03094 (2023) - [i11]Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman:
Diffusion models with location-scale noise. CoRR abs/2304.05907 (2023) - [i10]Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman:
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. CoRR abs/2309.09968 (2023) - 2022
- [c5]Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal:
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS 2022 - [i9]Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal:
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR abs/2205.09853 (2022) - [i8]Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar:
CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback. CoRR abs/2210.09505 (2022) - 2021
- [c4]Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes:
Adversarial score matching and improved sampling for image generation. ICLR 2021 - [i7]Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas:
Gotta Go Fast When Generating Data with Score-Based Models. CoRR abs/2105.14080 (2021) - 2020
- [c3]Alexia Jolicoeur-Martineau:
On Relativistic f-Divergences. ICML 2020: 4931-4939 - [c2]Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas:
Stochastic Hamiltonian Gradient Methods for Smooth Games. ICML 2020: 6370-6381 - [i6]Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas:
Stochastic Hamiltonian Gradient Methods for Smooth Games. CoRR abs/2007.04202 (2020) - [i5]Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas:
Adversarial score matching and improved sampling for image generation. CoRR abs/2009.05475 (2020)
2010 – 2019
- 2019
- [c1]Alexia Jolicoeur-Martineau:
The relativistic discriminator: a key element missing from standard GAN. ICLR (Poster) 2019 - [i4]Alexia Jolicoeur-Martineau:
On Relativistic f-Divergences. CoRR abs/1901.02474 (2019) - [i3]Alexia Jolicoeur-Martineau, Ioannis Mitliagkas:
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs. CoRR abs/1910.06922 (2019) - 2018
- [i2]Alexia Jolicoeur-Martineau:
The relativistic discriminator: a key element missing from standard GAN. CoRR abs/1807.00734 (2018) - [i1]Alexia Jolicoeur-Martineau:
GANs beyond divergence minimization. CoRR abs/1809.02145 (2018)
Coauthor Index
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