Schedule

Lectures:

Lecture 1: Dec 14, 18:00 to 20:00: Introduction to ML4Science - Prof. Deva Priyakumar

Lecture 2: Dec 15, 9:00 to 10:30: Introduction to ML/Neural networks - Prof. C. V. Jawahar

Lecture 3: Dec 15, 16:30 to 18:00: Neural networks - Prof. C. V. Jawahar

Lecture 4: Dec 16, 9:00 to 10:30: Molecular representations & Representation learning - Prof. Deva Priyakumar

Lecture 5: Dec 16, 16:30 to 18:00: RNN & CNN - Prof. Maitreya Maity and Prof. P. K. Vinod

Lecture 6: Dec 17, 9:00 to 10:30: Graph neural networks - Prof. Charu Sharma and Prof. Deva Priyakumar

Lecture 7: Dec 17, 16:30 to 18:00: Unsupervised learning - Prof. Monalisa Patra and Prof. Prabhakar Bhimalapuram

Lecture 8: Dec 18, 9:00 to 10:30: Autoencoders, Variational Autoencoders and Generative Adversarial Networks - Prof. Girish Varma and Prof. Prabhakar Bhimalapuram

Lecture 9: Dec 18, 16:30 to 18:00: Transformers/Language models - ??? and Prof. P. K. Vinod

Lecture 10: Dec 19, 9:00 to 10:30: Diffusion models - Prof. Monalisa Patra and Prof. Deva Priyakumar

Lecture 11: Dec 19, 16:30 to 18:00: Reinforcement learning & Direct Preference Optimization - Prof. Girish Varma and Dr. Arijit Roy

Lecture 12: Dec 20, 9:00 to 10:30: Introduction to Agentic AI - Prof. Karthik Vaidhyanathan and Prof. Deva Priyakumar