FDS Workshop: "Theory and Practice of Foundation Models"
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Zeyuan Allen-Zhu, Meta / FAIR Labs Physics Of Language Model...
Uri Alon, Google DeepMind Long-Context On An Academic Budget...
Sanjeev Arora, Princeton University A Theory For Emergence O...
Hossein Bateni, Google Research, NYC Attention-based Model S...
Ahmad Beirami, Google Research
Srinadh Bhojanapalli, Google Long Sequence Transformer
Lin Chen, Google Harmonizing Bias And Variance And Harmonizi...
Kyunghyun Cho, New York University
Arman Cohan, Yale University
Vincent Cohen-Addad, Google Research Data Selection / Active...
Nishanth Dikkala, Google Research Alternating Updates - A Me...
Anjalie Field, Johns Hopkins University Risks Of Racial Bias...
Tesca Fitzgerald, Yale University "Benefits And Barriers To
Hamed Hassani, University of Pennsylvania Smoothllm: Defendi...
Elad Hazan, Princeton University Meta Optimization How can w...
Hoda Heidari, Carnegie Mellon University On The Ethical & So...
Fotis Iliopoulos, Google SLaM: Student-Label Mixing For Dist...
Rajesh Jayaram, Google Research, New York Efficiency
Amin Karbasi, Yale University
Najoung Kim, Google
Himabindu Lakkaraju, Harvard University
Zhiyuan Li, Toyota Technological Institute at Chicago
Arian Maleki, Columbia University Cross Validation In High-d...
Anqi Mao, Google/New York University
Vahab Mirrokni, Google Reseach Organizer
Samet Oymak, University of Michigan, Ann Arbor Transformers
Rina Panigrahy, Google How To Learn A Table Of Concepts Deep...
Sunoo Park, NYU Courant Institute of Mathematical Sciences S...
Cengiz Pehlevan, Harvard SEAS
Bryan Perozzi, Google Research Talk Like A Graph: Encoding G...
Ankit Singh Rawat, Google Research, New York Knowledge Disti...
Andrej Risteski, CMU
Clayton Sanford, Columbia University
Shreya Saxena, Yale University Foundation Models In Neurosci...
Dan Spielman, Yale University
Ananda Theertha Suresh, Google Research Spectr: Fast Specula...
Umar Syed, Google Research, New York
Arthur Szlam, Google
David Vandijk, Yale University Foundation Model Abc: Algorit...
Soledad Villar, Johns Hopkins University Symmetries As Induc...
Max Vladymyrov, Google Understanding In-context Learning
Alex Wong, Yale University Unsupervised Learning Of Depth Pe...
David Woodruff, CMU
Zhuoran Yang, Yale University
Rex Ying, Yale University
Manzil Zaheer, Google
Ruiqi Zhang, University of California, Berkeley Trained Tran...
Peilin Zhong, Google Research Polysketchformer: Fast Transfo...
Wednesday, October 25, 2023
Welcome
10:30 AM - 11:00 AM
Safety and Robustness
11:00 AM - 12:30 PM
Lunch
12:30 PM - 1:30 PM
Privacy/Security
1:30 PM - 3:00 PM
Coffee Break
3:00 PM - 3:30 PM
Reasoning/Algorithms
3:30 PM - 5:15 PM
Thursday, October 26, 2023
Welcome and Coffee
8:30 AM - 9:00 AM
Algorithms/Understanding
9:00 AM - 10:30 AM
Coffee Break
10:30 AM - 11:00 AM
Efficiency
11:00 AM - 12:30 PM
Poster Session
12:30 PM - 1:30 PM
Lunch
12:30 PM - 1:30 PM
Efficiency
1:30 PM - 3:15 PM
Coffee Break
3:15 PM - 3:45 PM
Reasoning/Algorithms
3:45 PM - 5:30 PM
Friday, October 27, 2023
Welcome and Coffee
8:30 AM - 9:00 AM
Efficiency
9:00 AM - 10:30 AM
Coffee Break
10:30 AM - 10:45 AM
Algorithms
10:45 AM - 12:30 PM
Lunch
12:30 PM - 1:30 PM
Applications
1:30 PM - 3:20 PM
