Matt Jordan
8 papers · 2019–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Mega-Team · Legion
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Keyword Collector
(54)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(4)
Optimization & Theory · Machine Learning
(4)
Models
(3)
Optimization & Theory · Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Learning Types
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
relu network
(2)
neural network verification
(2)
contrastive learning
(1)
transfer learning
(1)
image restoration
(1)
multimodal learning
(1)
neural network optimization
(1)
language model
(1)
formal verification
(1)
lagrangian relaxation
(1)
generative model
(1)
diffusion model
(1)
inverse problem
(1)
multimodal dataset
(1)
variational autoencoder
(1)
causal effect estimation
(1)
large multimodal model
(1)
image-text pair
(1)
lipschitz constant
(1)
adversarial robustness
(1)
Papers
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
NeurIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NeurIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
NeurIPS 2024
Zonotope Domains for Lagrangian Neural Network Verification
NeurIPS 2022
Inverse Problems Leveraging Pre-trained Contrastive Representations
NeurIPS 2021
Provable Lipschitz Certification for Generative Models
ICML 2021
Exactly Computing the Local Lipschitz Constant of ReLU Networks
NeurIPS 2020
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
NeurIPS 2019