Gaël RICHARD
14 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (6) 🏃 Academic Marathon (9) 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge
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Taxonomy Completionist
(31)
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Keyword Pioneer
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Cross-Pollinator
(15)
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Keyword Champion
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Unstoppable
(5)
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Keyword Collector
(67)
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Century Club
(14)
Conferences
NIPS (6)
ICML (5)
COLT (1)
EMNLP (1)
INTERSPEECH (1)
Top co-authors
Keywords
stochastic gradient
(3)
markov chain monte carlo
(3)
non-convex optimization
(2)
bayesian inference
(2)
stochastic gradient markov chain monte carlo
(2)
multiple choice learning
(2)
generalization bound
(2)
heavy-tailed distribution
(2)
stochastic gradient descent
(2)
quasi-newton method
(2)
acoustic modeling
(1)
nonnegative matrix factorization
(1)
neural network optimization
(1)
zero-shot learning
(1)
langevin dynamics
(1)
deep learning
(1)
audio classification
(1)
posterior sampling
(1)
speech dereverberation
(1)
simulated annealing
(1)
Papers
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models
EMNLP 2025
Speech dereverberation constrained on room impulse response characteristics
INTERSPEECH 2024
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
NIPS 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
NIPS 2023
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
COLT 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
NIPS 2022
Relative Positional Encoding for Transformers with Linear Complexity
ICML 2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
NIPS 2021
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
ICML 2019
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
NIPS 2019
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
ICML 2018
Stochastic Quasi-Newton Langevin Monte Carlo
ICML 2016
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo
NIPS 2016