INVITATION: The first Indian Symposium on Machine Learning (IndoML)
Raj Sharma
The organizing committee coordially invite you and your colleagues to attend ‘The first Indian Symposium on Machine Learning (IndoML)’ between 16-18 December 2020. The symposium aims to offer a forum to discuss state-of-the-art ML research through invited talks from leading experts across the world.
Details of the program and speakers are given below. The event will be held virtually, and registration is FREE FOR EVERYONE. Please spread a word, and do plan to attend the sessions of your interest.
More details about the symposium can be found at: https://labs.iitgn.ac.in/datascience/indoml/
Registration Link: https://bit.ly/386JPM8
We look forward to meeting you (Virtually) at IndoML.
Organizing Team
- Anirban Dasgupta, Mayank Singh, Udit Bhatia [IIT Gandhinagar]
- Animesh Mukherjee, Niloy Ganguly [IIT Kharagpur]
- Raj Sharma [VideoKen]
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SCHEDULE: INDIAN SYMPOSIUM ON MACHINE LEARNING (INDOML)
16th December
Day 1, Session I: Chemical and Atmospheric Sciences
- 08:30 – 09:15 -- Is Artificial Intelligence the new electricity that will transform Earth Systems Sciences and Engineering? AUROOP GANGULY, Northeastern University
- 09:20 – 10:05 -- Stochastic Physics designs of Informative Hybrid Learning Machines for Earth, Planet, Climate and Life. SAI RAVELA, MIT and Galaxy.AI
- 10:10 – 10:55 -- AI and High Performance Data Mining – Illustrative Applications in Materials Science. ANKIT AGRAWAL, Northwestern University
Day 1, Session II: Physical and Mathematical Sciences
- 16:00 – 16:45 -- Lessons from Physics for Deep Learning. MAX WELLING, University of Amsterdam and Qualcomm
- 16:50 – 17:35 -- A Function Based Picture Explains Why Neural Networks Generalise So Well In The Overparameterized Regime. ARD LOUIS, University of Oxford
- 17:40 – 18:25 -- Towards Automatic Math Word Problem Solving. CHIN-YEW LIN, Microsoft Research Asia
- 18:30 – 19:15 -- Potential and Challenges of Machine Learning for Gravitational Wave Discovery. LINQING WEN, University of Western Australia
17th December
Day 2 Session I: Social Sciences
- 09:00 – 09:45 -- AI, Society, and Inequality: Why We Need to Enhance Engineers’ Ability to Understand Social Impact. MONA SLOANE, Institute for Public Knowledge, NYU
- 09:50 – 10:35 -- Social Media Misinformation in India. JOYOJEET PAL, University of Michigan
- 10:40 – 11:25 -- Learning-Augmented Online Learning. RAVI KUMAR, Google
Day 2, Session II: Chemical and Atmospheric Sciences
- 16:00 – 16:45 -- Bayesian Inference and Meta-learning for Molecular Property Prediction with Graph Neural Networks. BROOKS PAIGE University College London AI Centre
- 16:50 – 17:35 -- Advances in Molecular Design with Deep Generative Models. JOSÉ MIGUEL HERNÁNDEZ-LOBATO, University of Cambridge
- 17:40 – 18:25 -- Unifying Machine Learning and Quantum Chemistry with Deep Neural Networks. KRISTOF SCHÜTT, TU Berlin
- 18:30 – 19:15 -- NeVAE – A Deep Generative Model for Molecular Graphs. ABIR DE, Indian Institute of Technology, Bombay
18th December
Day 3 Session I: Physical and Mathematical Sciences
- 09:00 – 09:45 -- TBD. ANUJ KARPATNE, Virginia Tech.
- 09:50 – 10:35 -- Discovering Symbolic Models in Physical Systems using Deep Learning. SHIRLEY HO, Flatiron Institute, Center for Computational Astrophysic
- 10:40 – 11:25 -- Machine Learning for Science: Data-Driven Discovery Methods for Governing Equations, Coordinates and Sensors. J. NATHAN KUTZ, University of Washington
Day 3, Session II: Social Sciences
- 16:00 – 16:45 -- Use of AI/ML to Scale Voice-based Participatory Media Forums. AADITESHWAR SETH, Indian Institute of Technology, Delhi
- 16:50 – 17:35 -- Challenging problems in Indian Political Data. SUDHEENDRA HANGAL, Ashoka University
- 17:40 – 18:25 -- Advancing AI for Social Impact – Learning and Planning in the Data-to-Deployment Pipeline. MILIND TAMBE Harvard University and Google Research India