Schedule 

Mentioned time is Indian Standard Time (GMT+5 hr 30 mins)

The event will be streamed live at the IIT Bombay Official YouTube Channel

Time
(IST: GMT+5:30)

Event (Venue: Victor Menezes Convention Centre, IIT Bombay)

Day 1 : Session I (Foundational and Generative Models)

Session Chair: Sunita Sarawagi

09:00 - 09:30

Inauguration

09:30 - 10:15

Alekh Agarwal: Improving generative models by playing games

10:15 - 10:30

Tea break

10:30 - 11:15

Aditya Grover: Foundation Models for Experimental Design

11:15 - 12:00

Mohit Bansal: Multimodal Generative LLMs: Unification, Interpretability, Evaluation

12:00 - 12:45

Krishna P. Gummadi: Foundations of Foundational Models: Understanding the dynamics and mechanics of memorisation in large language models

Lunch

Day 1 : Session II (Machine Learning)

Session Chair: Niloy Ganguly

14:00 - 14:45

Rajiv Khanna: Interpretability in machine learning: Theory and Practice

14:45 - 15:30

Rishabh Iyer: Subset Selection for Compute-Efficient Deep Learning: Orders of Magnitude Speedups with Subsets of the Training Data!

15:30 - 16:00

Tea break

16:00 - 16:45

Pradeep Ravikumar: Neuro-Causal Models

16:45 - 18:00

Tutorial by Danish Pruthi: Watermarking Large Language Models

 

Time
(IST: GMT+5:30)

Event (Venue: Victor Menezes Convention Centre, IIT Bombay)

Day 2 : Session I (Ethical and Fair AI)

Session Chair: Animesh Mukherjee

09:00 - 10:00

Datathon Session

10:00 - 10:45

Sunipa Dev: Contextualizing AI with Cross Cultural Perspectives

10:45 - 11:30

Koustuv Saha: Measuring Wellbeing in Situated Contexts with Social Media and Multimodal Sensing: Promises and Perils

11:30 - 12:00

Poster Session + Tea break

12:00 - 12:45

Poster Session

Lunch

13:30 - 15:00

Speaker - Student Interaction Session

Day 2 : Session II (Amazon)

15:00 - 15:30

Welcome Note & Prof. Abir De on Collaboration + Lightning Round: Project Proposals

15:30 - 16:00

Amazon Session Keynote by Anurag Dwarakanath: Equitable Learning: Identifying and mitigating bias without access to protected attributes

16:00 - 16:30

Srujana Merugu: Conformal prediction sets for ordinal classification

16:30 - 16:45

Tea break

16:45 - 17:15

Preetham N: Starting up in the ML industry - funding, proposals

17:15 - 18:00

Panel Discussion: Student centric dialogue on navigating Generative AI
Panel: Sunita Sarawagi, Danish Pruthi, Harish Arsikere (Moderator: Abhishek Persad)

18:00 - 18:15

Tamal Kuila: Estimating Causal Impact of Spoken Language Understanding Model on Interaction Quality of Conversational Assistants

18:15 - 18:30

Sahil Verma: Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer

18:30 - 19:00

Happy Mittal: Multimodal Generative Models for Attribute Extraction in E-commerce

Dinner
Fireside Chat with Gautam Bhargava, Ola
Datathon and Poster Awards

 

Time
(IST: GMT+5:30)

Event (Venue: FC Kohli Auditorium, IIT Bombay)

Day 3 : Session I (Applications)

Session Chair: Avijit Maji

09:30 - 10:15

Rajeev Rastogi: Recommendation Systems: Challenges and Solutions.

10:15 - 11:00

Vishnu Vardhan: Applications of AI in Metabolic Health

11:00 - 11:20

Tea break

11:20 - 12:05

Abhijit Sarkar: Artificial intelligence in transportation: paving the way for the future of mobility

12:05 - 13:00

Tutorial by Balaraman Ravindran: Introduction to Responsible AI

Lunch

Day 3 : Session II (Natural Language Processing)

Session Chair: Anirban Dasgupta

14:00 - 14:45

Snigdha Chaturvedi: Unsupervised methods for opinion summarization

14:45 - 15:30

Sachin Kumar: NLP in the Time of Generative Models: Centering the Role of People

15:30 - 15:45

Tea break

Day 3 : Session III (Machine Learning)

Session Chair: Biplab Banerjee

15:45 - 16:30

Purnamrita Sarkar: Keep or toss? A nonparametric score to evaluate solutions for noisy ICA

16:30 - 17:15

Arya Mazumdar: Iterative Hard Thresholding for Sparse Generalized Linear Models

17:15 - 17:30

Concluding Remarks and Vote of Thanks