Benjamin Negrevergne
10 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(14)
π
Grand Slam
π
Century Club
(10)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ACML (2)
AISTATS (2)
NIPS (2)
AAAI (1)
ACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
generative model
(2)
convolutional neural network
(2)
normalizing flow
(2)
adversarial robustness
(2)
neural network optimization
(1)
evaluation framework
(1)
generative adversarial network
(1)
lipschitz regularization
(1)
rejection sampling
(1)
frechet inception distance
(1)
sampling budget
(1)
total variation distance
(1)
probabilistic classifier
(1)
precision-recall trade-off
(1)
open-ended generation
(1)
deep residual network
(1)
randomized ensemble
(1)
adversarial risk
(1)
large language model
(1)
precision recall
(1)
Papers
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
AISTATS 2025
Improving Diversity in Language Models: When Temperature Fails, Change the Loss
ICML 2025
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
ICLR 2025
Optimal Budgeted Rejection Sampling for Generative Models
AISTATS 2024
Exploring Precision and Recall to assess the quality and diversity of LLMs
ACL 2024
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
NIPS 2023
On the Role of Randomization in Adversarially Robust Classification
NIPS 2023
On the expressivity of bi-Lipschitz normalizing
flows
ACML 2022
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
AAAI 2021
Recognizing Art Style Automatically in Painting with Deep Learning
ACML 2017