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Matt Jordan
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2020 – today
- 2024
- [i10]Md. Musfiqur Rahman, Matt Jordan, Murat Kocaoglu:
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand. CoRR abs/2402.07419 (2024) - [i9]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR abs/2406.11271 (2024) - [i8]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar 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 M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. 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:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - 2022
- [c5]Matt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh:
Zonotope Domains for Lagrangian Neural Network Verification. NeurIPS 2022 - [i7]Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis, Sewoong Oh:
Zonotope Domains for Lagrangian Neural Network Verification. CoRR abs/2210.08069 (2022) - 2021
- [c4]Matt Jordan, Alex Dimakis:
Provable Lipschitz Certification for Generative Models. ICML 2021: 5118-5126 - [c3]Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G. Dimakis:
Inverse Problems Leveraging Pre-trained Contrastive Representations. NeurIPS 2021: 8753-8765 - [i6]Matt Jordan, Alexandros G. Dimakis:
Provable Lipschitz Certification for Generative Models. CoRR abs/2107.02732 (2021) - [i5]Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G. Dimakis:
Inverse Problems Leveraging Pre-trained Contrastive Representations. CoRR abs/2110.07439 (2021) - 2020
- [c2]Matt Jordan, Alexandros G. Dimakis:
Exactly Computing the Local Lipschitz Constant of ReLU Networks. NeurIPS 2020 - [i4]Matt Jordan, Alexandros G. Dimakis:
Exactly Computing the Local Lipschitz Constant of ReLU Networks. CoRR abs/2003.01219 (2020) - [i3]Jessica Hoffmann, Matt Jordan, Constantine Caramanis:
Quarantines as a Targeted Immunization Strategy. CoRR abs/2008.08262 (2020)
2010 – 2019
- 2019
- [c1]Matt Jordan, Justin Lewis, Alexandros G. Dimakis:
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. NeurIPS 2019: 14059-14069 - [i2]Matt Jordan, Naren Manoj
, Surbhi Goel, Alexandros G. Dimakis:
Quantifying Perceptual Distortion of Adversarial Examples. CoRR abs/1902.08265 (2019) - [i1]Matt Jordan, Justin Lewis, Alexandros G. Dimakis:
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. CoRR abs/1903.08778 (2019)
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last updated on 2024-10-12 22:55 CEST by the dblp team
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