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Assistant Professor
,
Sorbonne University
Publications
(112)
Generalized Sliced Wasserstein Distances
Neural Information Processing Systems · 2019
350
cited
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
International Conference on Machine Learning · 2019
293
cited
The Heavy-Tail Phenomenon in SGD
International Conference on Machine Learning · 2020
158
cited
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
International Conference on Machine Learning · 2018
129
cited
Generalised Coupled Tensor Factorisation
Neural Information Processing Systems · 2011
106
cited
Statistical and Topological Properties of Sliced Probability Divergences
Neural Information Processing Systems · 2020
97
cited
Explicit Regularisation in Gaussian Noise Injections
Neural Information Processing Systems · 2020
77
cited
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Neural Information Processing Systems · 2019
74
cited
Hausdorff dimension, heavy tails, and generalization in neural networks
Neural Information Processing Systems · 2020
67
cited
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks
arXiv.org · 2019
66
cited
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Neural Information Processing Systems · 2019
65
cited
Stochastic Quasi-Newton Langevin Monte Carlo
International Conference on Machine Learning · 2016
63
cited
Relative Positional Encoding for Transformers with Linear Complexity
International Conference on Machine Learning · 2021
60
cited
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
International Conference on Machine Learning · 2020
56
cited
Real-Time Recognition of Percussive Sounds by a Model-Based Method
EURASIP Journal on Advances in Signal Processing · 2011
54
cited
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings
Energy and Buildings · 2018
52
cited
Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data
IEEE/ACM Transactions on Audio Speech and Language Processing · 2020
52
cited
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Neural Information Processing Systems · 2021
50
cited
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Neural Information Processing Systems · 2021
47
cited
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
International Conference on Machine Learning · 2017
47
cited
Show all 112 papers →
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