Benjamin Negrevergne
10 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
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Topic Evolution
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The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Trend Setter
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Research topics
Machine Learning
(10)
Deep Learning
(5)
Core Methods
(4)
Optimization & Theory Β· Machine Learning
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Core AI
(3)
Learning Types
(3)
Models
(3)
Architectures
(2)
Generation
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Keywords
adversarial robustness
(3)
normalizing flow
(2)
convolutional neural network
(2)
generative model
(2)
text generation
(1)
code generation
(1)
image generation
(1)
evaluation framework
(1)
graph theory
(1)
multi-class classification
(1)
adversarial classification
(1)
neural network optimization
(1)
target distribution
(1)
deep learning
(1)
transfer learning
(1)
loss function
(1)
lipschitz constant
(1)
generative adversarial network
(1)
prompting strategy
(1)
image classification
(1)
Papers
Improving Diversity in Language Models: When Temperature Fails, Change the Loss
ICML 2025
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
AISTATS 2025
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
ICLR 2025
Exploring Precision and Recall to assess the quality and diversity of LLMs
ACL 2024
Optimal Budgeted Rejection Sampling for Generative Models
AISTATS 2024
On the Role of Randomization in Adversarially Robust Classification
NeurIPS 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
NeurIPS 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