Jordan, Matt

10 publications

NeurIPS 2025 Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality Alex Fang, Hadi Pouransari, Matt Jordan, Alexander T Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter

NeurIPS 2024 Conditional Generative Models Are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu

ICMLW 2024 Conditional Generative Models Are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu

NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

NeurIPS 2024 MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt

NeurIPS 2022 Zonotope Domains for Lagrangian Neural Network Verification Matt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh

NeurIPS 2021 Inverse Problems Leveraging Pre-Trained Contrastive Representations Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G Dimakis

ICML 2021 Provable Lipschitz Certification for Generative Models Matt Jordan, Alex Dimakis

NeurIPS 2020 Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan, Alexandros G Dimakis

NeurIPS 2019 Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes Matt Jordan, Justin Lewis, Alexandros G Dimakis