Time |
Event (Registration) |
17.00 - 19.00 |
Registration (Venue: B-Dome, BITS Pilani, K K Birla Goa Campus) |
Time |
Venue: Auditorium, B-Dome, BITS Pilani, K K Birla Goa Campus |
Day 1 : Session I
|
|
Session Chair: Biplab Banerjee and Mahesh Mohan M R |
|
08.00 - 09.00 |
Registration |
09:00 - 09:30 |
Inauguration |
09:30 - 10:15 |
Bhramar Mukherjee (Yale University): Importance of Data Equity and Statistical Thinking in an AI-Augmented World |
10:15 - 11:00 |
Milind Tambe (Harvard University): LLMs as Accelerators: Boosting AI for Social Impact in Public Health and Conservation |
11:00 - 11:30 |
Tea Break |
11:30 - 12:15 |
Munmun De Chauduri (Georgia Institute of Technology): Does Social Media Support or Worsen Mental Health? What Quasi-Experimental Approaches Tell Us |
12:15 - 13:00 |
Koulik Khamaru (Rutgers University): Tutorial-1: Statistical inference in adaptive data collection |
13:00 - 14:15 |
Lunch (Venue: D-Mess)
|
Day 1 : Session II |
|
Session Chair: Pawan Goyal and Krishna Gummadi |
|
14:15 - 15:00 |
Arindam Banerjee (University of Illinois Urbana-Champaign): Benefits of Structure and Randomness in Deep Learning |
15:00 - 15:45 |
Tushar Khot (Allen Institute): Benchmarking and Building Better Language Agents |
15:45 - 16:00 |
Tea Break |
16:00 - 16:45 |
Smita Krishnaswamy (Yale School of Medicine, US): Novel graph neural network paradigms for biomedical discovery |
16:45 - 17:30 |
Shubham Tulsiani (Carnegie Mellon University): Learning Robot Manipulation by Watching Humans |
17:30 - 19:30 |
Talentspot Job Forum (BITS Pilani) |
19:00 onward |
Board Meeting (Director's Conference Room, B-Dome) |
Time |
Venue: Auditorium, B-Dome, BITS Pilani, K K Birla Goa Campus |
|
Day 2 : Session I
|
||
Session Chair: Animesh Mukherjee & Koustuv Saha |
||
08:30 - 09:15 |
Avishek Anand (Delft University of Technology): Explainable information retrieval |
|
09:15 - 10:00 |
Ranjay Krishna (University of Washington): Can Our Best Multimodal Language Model See? |
|
10:00 - 10:15 |
Tea Break |
|
10:15 - 11:00 |
Debobrota Basu (Inria): When Privacy Meets Partial Information: Privacy-utility Trade-offs in Reinforcement Learning |
|
11:00 - 11:45 |
Chandrajit Bajaj (UT Austin, Oden Institute): Continuous and Stochastic Reinforcement Learning with Differential Policy Optimization |
|
11:45 - 12:30 |
Romit Roy Choudhury (University of Illinois Urbana-Champaign): Can NeRFs See Without Lights and Cameras? |
|
12:30 - 13:15 |
Manish Gupta (Microsoft Research): Tutorial-2: Retrieval Augmented Generation |
|
13:15 - 14:30 |
Lunch (Venue: D-Mess)
|
|
Day 2 : Session II
|
||
14:30 - 15:45 |
Mentoring Session (Mentor Details)
|
|
15:45 - 16:00 |
Tea Break |
|
16:00 - 17:15 |
Panel Discussion: Topic: Computing at Scale in the Era of AI |
|
17:15 - 18:15 |
PAN India Forum (Short Talks) |
|
18:30 - 19:30 |
Indian Classical Session (Venue: DLT9)(Cultural Event) |
|
19:45 onward |
Gala Dinner (Venue: VGH Lawn) |
|
Time |
Venue: Auditorium, B-Dome, BITS Pilani, K K Birla Goa Campus |
Day 3 : Session I
|
|
Session Chair: Anirban Dasgupta |
|
08:30-10:00 |
Rajdeep Mukherjee (Datathon) : Team DataHacks (8.40-8.50), Team GradientGurus (9.00-9.10), Team DumbDucks (9.10-9.20), Team PRMAS (9.20-9.30), NIQ Sponsor Talk (9.30-10.00) |
10:00-10:30 |
Tea break |
10:30-11:15 |
Preethi Jyothi (IIT Bombay): Overcoming Language Barriers with Multilingual Large Language Models: Challenges and Opportunities |
11:15-12:00 |
Aishwarya Agrawal (Université de Montréal): Advancing multimodal vision-language learning |
12:00-13:00 |
Jalaj Upadhyay (Rutgers University): Advances in Correlated Noise Mechanisms for Private Learning |
13:00-14:00 |
Lunch (Venue: D-Mess)
|
Day 3 : Session II
|
|
Session Chair: Abhijnan Chakraborty |
|
14:00-15:15 |
Early Career (Short Talks) |
15:15-16:15 |
Amazon Event |
16:15-16:30 |
Concluding Remarks and Vote of Thanks by Niloy Ganguly |
16:30-17.30 |
Evening Tea |