Upcoming Speakers

Statistical Rule Learning for Materials Science

Mario Boley

Monash University

Statistical Rule Learning for Materials Science

Friday, Dec 02 2022 - 10:00 am (GMT + 7)

Provable Offline Reinforcement Learning: Neural Function Approximation, Randomization, and Sample Complexity

Thanh Nguyen-Tang

Johns Hopkins University

Provable Offline Reinforcement Learning: Neural Function App...

Friday, Jan 13 2023 - 10:00 am (GMT + 7)

Previous speakers

Efficient Optimization Algorithms for Interpretable Machine Learning

Armin Askari

University of California at Berkeley

Efficient Optimization Algorithms for Interpretable Machine Learning

Tuesday, Nov 22 2022 - 04:00 pm (GMT + 7)

Enriching Communication between Humans and AI Agents

Khanh Nguyen

Princeton University

Enriching Communication between Humans and AI Agents

Friday, Oct 07 2022 - 10:00 am (GMT + 7)

Variable Selection with Theoretical Guarantees on High-dimensional Data

Binh Nguyen

Telecom Paristech

Variable Selection with Theoretical Guarantees on High-dimensional Data

Friday, Sep 30 2022 - 10:00 am (GMT + 7)

AI Synthesis for Metaverse Capabilities & Nextgen AI VFX

Hao Li

Pinscreen and MBZUAI

AI Synthesis for Metaverse Capabilities & Nextgen AI VFX

Friday, Sep 09 2022 - 02:00 pm (GMT + 7)

Vulnerabilities in Data-Centered Decision Making

Thanh Nguyen

University of Oregon

Vulnerabilities in Data-Centered Decision Making

Monday, Aug 15 2022 - 11:00 am (GMT + 7)

Learning Compositional Representations for Understanding and Generating Controllable 3D Environments

Despoina Paschalidou

Stanford University

Learning Compositional Representations for Understanding and Generating Controllable 3D En...

Friday, Aug 19 2022 - 11:00 am (GMT + 7)

Video Understanding: from Representation Learning to Open-World, Long-term Reasoning

Du Tran

Meta AI Research

Video Understanding: from Representation Learning to Open-World, Long-term Reasoning

Friday, Jul 22 2022 - 02:00 pm (GMT + 7)

Learning to Vary 3D Models for Universally Accessible 3D Content Creation

Mikaela Angelina Uy

Stanford University

Learning to Vary 3D Models for Universally Accessible 3D Content Creation

Friday, Jul 22 2022 - 11:00 am (GMT + 7)