SCDLDS video directory
SCDLDS seminar talks
Speakers:Shravan Hanasoge, Arun Suggala, Pranav Dandekar, Vivek Raghavan, Viral Acharya
exSPLOre2025
Speakers:
Dheeraj Nagaraj, Vivek Borkar, Sanjay Bhat, Rohit Vaish, Alexandre Proutiere, Devavrat Shah Garud Iyengar, Rama Cont, Srikant Iyer,Varun Gupta, Siddharth Barman, Rahul Vaze, Vijay Vazirani, Ruta Mehta, Siddhartha Banerjee, Achal Bassamboo, Sunita Sarawagi, Praneeth Netrapalli, Manish Gupta, Peter Glynn, Jayakrishnan Nair, Ketan Rajawat, Ankur Puri
AI/ML Methods in Weather Modelling
Auroop R Ganguly, Shreya Agrawal, Google Deepmind, Dr. M N Rajeevan, Dr RK Jenamani, Tapio Schneider, Jayanarayanan Kuttippurath, Sandeep Sukumaran
SCDLDS Seminar Series
Speakers:Shravan Hanasoge, Arun Suggala, Pranav Dandekar, Vivek Raghavan, Viral Acharya
| Name of Speaker | Date | Title of the Talk | Recording Link |
|---|---|---|---|
| Shravan Hanasoge | March 26, 2025 | Accelerating Scientific Discovery in Astrophysics Using Machine Learning | |
| Arun Suggala | February 28, 2025 | Large Language Models: Fundamentals, and a Deepdive into DeepSeek | |
| Pranav Dandekar | November 12, 2024 | Solving Traffic Congestion in Indian Cities: Product Innovation and Policy Intervention | |
| Vivek Raghavan | September 24, 2024 | Building Generative AI for (in) India | |
| Viral Acharya | September 3, 2024 | Is Physical Climate Risk Priced? |
exSPLOre2025
Speakers:
Dheeraj Nagaraj, Vivek Borkar, Sanjay Bhat, Rohit Vaish, Alexandre Proutiere, Devavrat Shah Garud Iyengar, Rama Cont, Srikant Iyer,Varun Gupta, Siddharth Barman, Rahul Vaze, Vijay Vazirani, Ruta Mehta, Siddhartha Banerjee, Achal Bassamboo, Sunita Sarawagi, Praneeth Netrapalli, Manish Gupta, Peter Glynn, Jayakrishnan Nair, Ketan Rajawat, Ankur Puri
| Speaker | Date | Title of the Talk | Recording |
|---|---|---|---|
| Dheeraj Nagaraj (Google DeepMind) | January 18, 2025 | Training and Sampling Algorithms for Diffusion Models | |
| Vivek Borkar (IIT Bombay) | January 18, 2025 | Reinforcement Learning: From Markov to Non-Markov | |
| Sanjay Bhat (TCS Research) | January 18, 2025 | ExSPLO-Rations in Bandit Optimization on Continuous Decision Spaces | |
| Rohit Vaish (IIT Delhi) | January 18, 2025 | Fair Scheduling of Indivisible Chores | |
| Alexandre Proutiere (KTH Royal Institute of Technology) | January 18, 2025 | Low-Rank Reinforcement Learning | |
| Devavrat Shah (Massachusetts Institute of Technology) | January 18, 2025 | Various Incarnations of Matrix Completion | |
| Garud Iyengar (Columbia University) | January 17, 2025 | Online Matching with Heterogeneous Supply and Minimum Allocation Guarantees | |
| Rama Cont (Oxford University) | January 17, 2025 | Asymptotic Analysis of Deep Residual Networks | |
| Srikant Iyer (IISc) | January 17, 2025 | Static Hedging of European Options | |
| Varun Gupta (Northwestern University) | January 17, 2025 | Greedy Algorithm for Multiway Matching with Bounded Regret | |
| Siddharth Barman (IISc) | January 17, 2025 | Collective Welfare as a Metric in Algorithmic Decision Making | |
| Rahul Vaze (TIFR) | January 17, 2025 | Optimal Bounds for Constrained Online Convex Optimization | |
| Vijay Vazirani (University of California, Irvine) | January 16, 2025 | The Assignment Game: Equitable Core Imputations | |
| Ruta Mehta (University of Illinois at Urbana-Champaign) | January 16, 2025 | Computability of Competitive Equilibrium with Chores | |
| Siddhartha Banerjee (Cornell University) | January 16, 2025 | Artificial Replay: How to Get the Most out of Historical Data in Decision-Making | |
| Achal Bassamboo (Northwestern University) | January 16, 2025 | Asymptotically Optimal Adaptive A/B Tests for Average Treatment Effect | |
| Sunita Sarawagi (IIT Bombay) | January 16, 2025 | Understanding the Emergence of In-Context Learning in LLMs | |
| Praneeth Netrapalli (Google DeepMind) | January 15, 2025 | Introduction to Reverse Diffusion Sampling – 1 | |
| Manish Gupta (Google DeepMind) | January 15, 2025 | The Transformative Power of AI and Open Challenges | |
| Peter Glynn (Stanford University) | January 15, 2025 | Incorporating Forecasts Into MDPs | |
| Jayakrishnan Nair (IIT Bombay) | January 14, 2025 | Constructing Confidence Intervals – 1 | |
| Ketan Rajawat (IIT Kanpur) | January 14, 2025 | Introduction to Optimization: Algorithms & Implementation | |
| Ankur Puri (McKinsey) | January 14, 2025 | AI from an Executive’s Lens | |
| Balaji Prabhakar (Stanford University) | January 14, 2025 | What Is a Good Network and How Can We Build One? |
Workshop - AI/ML Methods in weather modelling
Speakers:
Auroop R Ganguly, Shreya Agrawal, Google Deepmind, Dr. M N Rajeevan, Dr RK Jenamani, Tapio Schneider, Jayanarayanan Kuttippurath, Sandeep Sukumaran
| Speaker | Date | Title of the Talk | Recording |
|---|---|---|---|
| Auroop R Ganguly | Sept 7-8, 2024 | Innovative Machine Learning Techniques for Precipitation Forecasting | |
| Shreya Agrawal, Google Deepmind | September 7, 2024 | Precipitation nowcasting using Machine Learning | |
| Dr. M N Rajeevan | Sept 7-8, 2024 | Tutorial Session at AI/ML Methods in Weather Modelling Workshop | |
| Dr RK Jenamani | Sept 7-8, 2024 | Recent Advancements in Weather Prediction Models | |
| Tapio Schneider | Sept 7-8, 2024 | AI and Computing Advancements in Climate Modeling | |
| Jayanarayanan Kuttippurath | Sept 7-8, 2024 | Machine Learning in Atmospheric Physics and Chemistry | |
| Sandeep Sukumaran | Sept 7-8, 2024 | Global ML Weather Models for Monsoon Prediction |
