Event Schedule
Symposium is scheduled to be on Thu, Oct 10th 2024 at Cupertino, Califonia.
| Time | Session | Speakers | Video Link | |
| 8:00am - 9:00am PDT | Check-in | ---- | ||
| 9:00am - 9:15am PDT | Welcome to BayLearn 2024 | Jerremy Holland (Apple) | ||
| 9:15am - 10:00 am PDT | Keynote # 1 - Multi-objective Learning: A unified framework for robustness, fairness, and collaboration in ML | Nika Haghtalab (UC Berkeley) | ||
| 10:00am - 10:15 am PDT | Oral Presentations: 1. Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamics Prediction | Omid Bazgir (Genentech)*; James Lu (Genentech); Marc Hafner (Genentech); Ji-won Park (Genentech); Zichen Wang (Genentech) | ||
| 10:15am - 10:45am PDT | Coffee Break | ---- | ||
| 10:45am - 11:30am PDT | Panel Discusion: AI Safety and Alignment | Niloufar Salehi (moderator) Stuart Russell (UC Berkeley) Joaquin Quiñonero Candela (OpenAI) Jascha Sohl-Dickstein (Anthropic) | ||
| 11:30 am - 11:45 am PDT | Oral Presentations: 2. Learning to Route with Confidence Tokens | Yu-Neng Chuang (Rice University); Helen Zhou (Apple Inc.)*; Prathusha Sarma (Apple); John Boccio (Apple Inc.); Oliver Ruiz (Apple Inc.); Sara Bolouki (Apple Inc.) | ||
| 11:45 am - 12:00 pm PDT | Oral Presentations: 3. Visual Haystacks: Answering Hard Questions About Sets of Images | Tsung-Han Wu (UC Berkeley)*; Giscard Biamby (UC Berkeley); Jerome Quenum (University of California, Berkeley); Ritwik Gupta (University of California, Berkeley); Joseph E Gonzalez (UC Berkeley); Trevor Darrell (UC Berkeley); David Chan (University of California, Berkeley) | ||
| 12:00pm - 1:30pm PDT | Lunch | ---- | ||
| 1:30pm - 2:15pm PDT | Keynote # 2: ML Recipes for Building a Scalable Autonomous Driving Agent | Dragomir Anguelov (Waymo) | ||
| 2:15 pm - 3:00 pm PDT | Keynote # 3: Building Trusted AI with LLMs | Richard Socher (you.com) | ||
| 3:00pm - 3:30pm PDT | Break | ---- | ||
| 3:30 pm - 3:45 pm PDT | Oral Presentations: 4. Lemur: Integrating Large Language Models in Automated Program Verification | Haoze Wu (Amherst College)*; Clark Barrett (Stanford University); Nina Narodytska (VMware Research) | ||
| 3:45 pm - 4:00 pm PDT | Oral Presentations: 5. Teaching an LLM To Explore Optimally | Allen Nie (Stanford University)*; Yi Su (Google); Bo Chang (Google); Ed H. Chi (Google); Quoc Le (Google DeepMind); Minmin Chen (Google) | ||
| 4:00 pm PDT - 4:15 pm PDT | Oral Presentations: 6. Encoded Modern Hopfield Networks - Addressing Practical Considerations for Large Scale Storage | Satyananda Kashyap (IBM Research)*; Niharika S. D'Souza (IBM Research); Luyao Shi (IBM Research); Ken C. L. Wong (IBM Research – Almaden Research Center); Hongzhi Wang (IBM Almaden Research Center); Tanveer Syeda-Mahmood (IBM Research) | ||
| 4:15 pm PDT - 4:30 pm PDT | Oral Presentations: 7. Do Music Generation Models Encode Music Theory | Megan Wei (Brown University)*; Michael Freeman (Brown University); Chris Donahue (Carnegie Mellon University); Chen Sun (Brown University) | ||
| 4:30pm - 6:00 pm PDT | Poster Session + Reception | All Attendees (+Authors of 46 accepted submissions invited to host/present a poster)reception & drinks |