Gaël RICHARD
14 papers · 2016–2025 · 5 venues · across top CS/AI venues
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(5)
Bayesian & Probabilistic · Artificial Intelligence
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Keywords
stochastic gradient
(3)
markov chain monte carlo
(3)
stochastic gradient markov chain monte carlo
(3)
stochastic gradient descent
(2)
bayesian inference
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non-convex optimization
(2)
multiple choice learning
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quasi-newton method
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heavy-tailed distribution
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generalization bound
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deep learning
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posterior sampling
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multimodal learning
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neural network optimization
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zero-shot learning
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uncertainty quantification
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simulated annealing
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statistical learning theory
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Papers
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models
EMNLP 2025
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
NeurIPS 2024
Speech dereverberation constrained on room impulse response characteristics
Interspeech 2024
Winner-takes-all learners are geometry-aware conditional density estimators
ICML 2024
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
NeurIPS 2023
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
NeurIPS 2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
COLT 2022
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
NeurIPS 2021
Relative Positional Encoding for Transformers with Linear Complexity
ICML 2021
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
NeurIPS 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
ICML 2019
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
ICML 2018
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo
NeurIPS 2016
Stochastic Quasi-Newton Langevin Monte Carlo
ICML 2016