Matt Jordan
8 papers · 2019–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (26)
π
Cross-Pollinator
(5)
π
Renaissance Researcher
(5)
π₯
Mega-Team
(60)
Conferences
NIPS (7)
ICML (1)
Top co-authors
Keywords
neural network verification
(2)
relu network
(2)
adversarial robustness
(1)
image restoration
(1)
multimodal learning
(1)
neural network optimization
(1)
lagrangian relaxation
(1)
lipschitz constant
(1)
generative model
(1)
inverse problem
(1)
multimodal dataset
(1)
variational autoencoder
(1)
language model
(1)
large multimodal model
(1)
image-text pair
(1)
formal verification
(1)
vision-language model
(1)
transfer learning
(1)
multimodal large language model
(1)
contrastive learning
(1)
Papers
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
NIPS 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
NIPS 2024
Zonotope Domains for Lagrangian Neural Network Verification
NIPS 2022
Provable Lipschitz Certification for Generative Models
ICML 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
NIPS 2021
Exactly Computing the Local Lipschitz Constant of ReLU Networks
NIPS 2020
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
NIPS 2019