Matt Jordan

According to our database1, Matt Jordan authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
2 OLMo 2 Furious.
CoRR, January, 2025

2024
DataComp-LM: In search of the next generation of training sets for language models.
CoRR, 2024

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens.
CoRR, 2024

Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024


2022
Zonotope Domains for Lagrangian Neural Network Verification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Inverse Problems Leveraging Pre-trained Contrastive Representations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provable Lipschitz Certification for Generative Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Quarantines as a Targeted Immunization Strategy.
CoRR, 2020

Exactly Computing the Local Lipschitz Constant of ReLU Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Quantifying Perceptual Distortion of Adversarial Examples.
CoRR, 2019

Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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