Indian Symposium on Machine Learning (IndoML)

December 16 – 18, 2020 | Virtual

The first Indian Symposium on Machine Learning (IndoML) will be hosted by the Indian Institute of Technology Gandhinagar (IITGN) between 16-18 December 2020. The symposium aims to be a forum to discuss state-of-the-art ML research through invited talks from leading experts within India and abroad. IndoML fosters mentoring of Indian Ph.D./Master students to network with their peers, seek expert guidance and develop early-stage collaborations.

IndoML aims to provide an opportunity for the faculty to engage with leading research groups in the country and conduct high-quality research leading to competitive publications. It will also provide a platform for industrial partners, including startups, working in ML-related areas to showcase their products and receive reviews/feedback as well as setup potential collaborations.

 

Theme

The theme of IndoML 2020 is “AI for Science and Science for AI

Organizers

Speakers

AADITESHWAR SETH

Indian Institute of Technology Delhi

ABIR DE

Indian Institute of Technology Bombay

ANKIT AGRAWAL

Northwestern University

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ANUJ KARPATNE

Virginia Tech

Ard Louis

University of Oxford

Auroop Ganguly

Northeastern University

Brooks Paige

University College London AI Centre

Chin-Yew Lin

Microsoft Research Asia

J. Nathan Kutz

University of Washington

José Miguel Hernández-Lobato

University of Cambridge

JOYOJEET PAL

Microsoft Research India

KRISTOF SCHÜTT

TU Berlin

LINQING WEN

University of Western Australia

MAX WELLING

University of Amsterdam, and Qualcomm

Milind Tambe

Harvard University, and Google Research India

Mona Sloane

Institute for Public Knowledge, NYU

Ravi Kumar

Google

SATADEEP BHATTACHARJEE

Indo Korea Science and Technolgy Center (IKST)

Shirley Ho

Flatiron Institute, and Carnegie Mellon University

Srinivas (Sai) Ravela

MIT, and Galaxy.AI

SUDHEENDRA HANGAL

Ashoka University

Schedule

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

Registration

Registration is free of cost. The final registration confirmation would be based on the discretion of the organizers.

Sponsor

This event is being sponsored by a grant from the AI Journal.