The 2nd RIKEN AIP - IIT Hyderabad Joint Workshop

We will hold a joint workshop with IIT Hyderabad as follows.
Venue: Online
Co-organized with: IIT Hyderabad
Date and Time: March 24–25, 2026
Day 1 - March 24
Time: 9:30 - 15:15 (UTC+5.5) / 13:00 - 18:45 (UTC+9, JST)
Day 2 - March 25
Time: 9:30 - 15:30 (UTC+5.5) / 13:00 - 19:00 (UTC+9, JST)

Program

Day 1 - March 24

UTC+5.5 / UTC+9, JST
9:30 / 13:00 Opening (RIKEN-AIP) Masashi Sugiyama
Introduction to RIKEN-AIP
9:40 / 13:10 Opening (IITH) Ganesh Ghalme and Vineeth N Balasubramanian
AI @ IIT-H, and Introduction from IIT-H

Talks

9:50 / 13:20 Takayuki Osa (RIKEN-AIP)
Title: Towards Scalable Robot Learning for Adaptive Robotic Systems
10:15 / 13:45 Maunendra Desarkar (IITH)
Title: A Unified View on Emotion Representation in Large Language Models
10:40 / 14:10 Takashi Ishida (RIKEN-AIP)
Title: Benchmarking and Oversight Without Ground Truth
11:05 / 14:35 Ganesh Ghalme (IITH)
Title: Learning in the Presence of Strategic Agents
11:30 / 15:00 Peng Zhao (RIKEN-AIP)
Title: One-Pass Bandit Learning for RLHF and Function Approximation

11:55 / 15:25 Break

Spotlight Session

13:00 / 16:30 Spotlight Talk
- Speaker: Piyushi Manupriya (IITH)
Title: Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
- Speaker: Masashi Sugiyama (RIKEN-AIP)
Title: Recent Advances in Reward Modeling for Reinforcement Learning
- Speaker: Krishn Vishwas Kher (IITH)
Title: Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks

Talks

13:25 / 16:55 Konda Reddy Mopuri (IITH)
Title: Towards Robust and Continual Unlearning in Text-to-Image Diffusion Models
13:50 / 17:20 Motoya Ohnishi (RIKEN-AIP)
Title Path Signatures for ML
14:15 / 17:45 Sathya Peri (IITH)
Title: Decentralized Fault Tolerant Federated Learning
14:40 / 18:10 Wei Huang (RIKEN-AIP)
Title: On the Learnability of Diffusion Models on Low-Dimensional Manifolds
15:05 / 18:35 Closing

Day 2 - March 25

UTC+5.5 / UTC+9, JST

Talks

9:30 / 13:00 Srijith P K (IITH)
Title: Neural Differential Equations for Deep Learning
9:55 / 13:25 Emtiyaz Khan (RIKEN-AIP)
Title: Adaptive Bayesian Intelligence: The Road to Sustainable AI
10:20 / 13:50 Vineeth N Balasubramanian (IITH)
Title: Formal Concept-based Models
10:45 / 14:15 Thomas Möllenhoff (RIKEN-AIP)
Title: Variational Learning for Better Training of LLMs
11:10 / 14:40 Shashank Vatedka (IITH)
Title: Quantization of the L_1 ball for federated learning and model compression
11:35 / 15:05 Futoshi Futami (RIKEN-AIP)
Title: Uncertainty Quantification via Calibration

12:00 / 15:30 Break

Spotlight Session

13:00 / 16:30 Spotlight Talk
- Speaker: Arkaprava Majumdar (IITH)
Title: Neural Wave Equation for Irregularly Sampled Sequence Data
- Speaker: Okan Koc (RIKEN-AIP)
Title: Domain Adaptation and Entanglement: An Optimal Transport Perspective
- Speaker: Sairam Rebbapragada (IITH)
Title: iSHIFT: Lightweight Slow-Fast GUI Agent with Adaptive Perception
- Speaker: Chao Li (RIKEN-AIP)
Title: Tensor Networks Bridging Probabilistic Models and Quantum Machines

Talks

13:25 / 16:55 Rameshwar Pratap (IITH)
Title: Efficient and Accurate Tensor Compression via Recursive Sketching
13:50 / 17:20 Qibin Zhao (RIKEN-AIP)
Title: Tensor Representation for Machine Learning: Efficiency and Reliability
14:15 / 17:45 Shantanu Desai (IITH)
Title: Applications of statistics and Machine learning to astrophysics
14:40 / 18:10 Discussion & Closing