NeurIPS 2021: Open Catalyst Challenge | 1st place — Microsoft Research Asia
NeurIPS 2021: Open Catalyst Challenge | 1st place — Microsoft Research Asia
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NeurIPS 2021: Open Catalyst Challenge | 1st place — Microsoft Research Asia

NeurIPS 2021: Open Catalyst Challenge | 1st place — Microsoft Research Asia

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NeurIPS 2021: Open Catalyst Challenge | 2nd place — Innopolis AI

NeurIPS 2021: Open Catalyst Challenge | 2nd place — Innopolis AI

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2021-04-16 - Zachary Ulissi, Larry Zitnick - The Open Catalyst 2020 Dataset & Community Challenges

2021-04-16 - Zachary Ulissi, Larry Zitnick - The Open Catalyst 2020 Dataset & Community Challenges

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NeurIPS 2021 - synthetic data generation and assessment [workshop invited talk]

NeurIPS 2021 - synthetic data generation and assessment [workshop invited talk]

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Team JBR_HSE presentation (NeurIPS 2020 Flatland Challenge)

Team JBR_HSE presentation (NeurIPS 2020 Flatland Challenge)

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[NeurIPS 2021] Garment4D Demo Video

[NeurIPS 2021] Garment4D Demo Video

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NeurIPS 2021 - VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer

NeurIPS 2021 - VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer

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NeurIPS 2021 Conference Preview with Zeta Alpha

NeurIPS 2021 Conference Preview with Zeta Alpha

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Information Directed Reward Learning for Reinforcement Learning (NeurIPS 2021)

Information Directed Reward Learning for Reinforcement Learning (NeurIPS 2021)

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Microsoft Research Asia Big Data Lecture Series

Microsoft Research Asia Big Data Lecture Series

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AI for clean energy: Mike Schroepfer talks to Larry Zitnick about Open Catalyst

AI for clean energy: Mike Schroepfer talks to Larry Zitnick about Open Catalyst

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[NeurIPS 2021] Bridging the Imitation Gap by Adaptive Insubordination

[NeurIPS 2021] Bridging the Imitation Gap by Adaptive Insubordination

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Capacity and Bias of Learned Geometric Embeddings for Directed Graphs (NeurIPS 2021)

Capacity and Bias of Learned Geometric Embeddings for Directed Graphs (NeurIPS 2021)

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Improved Catalyst Predictions with Machine Learning Coupled APDFT - AIChE National Meeting 2020

Improved Catalyst Predictions with Machine Learning Coupled APDFT - AIChE National Meeting 2020

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Machine Learning Techniques in Heterogeneous Catalysis

Machine Learning Techniques in Heterogeneous Catalysis

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[NeurIPS 2020] Generative 3D Part Assembly via Dynamic Graph Learning

[NeurIPS 2020] Generative 3D Part Assembly via Dynamic Graph Learning

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On the Expressivity of Markov Reward [NeurIPS 2021 Outstanding Paper] - Research Paper Explained!

On the Expressivity of Markov Reward [NeurIPS 2021 Outstanding Paper] - Research Paper Explained!

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Building Catalyst Models and Datasets that Span Structure, Composition and Chemistry

Building Catalyst Models and Datasets that Span Structure, Composition and Chemistry

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[NeurIPS Workshop Keynote] Practical AI Ethics - A Guide Towards Responsible ML

[NeurIPS Workshop Keynote] Practical AI Ethics - A Guide Towards Responsible ML

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Continued Progress Towards Generalizable Machine Learning Models in Computational Catalysis

Continued Progress Towards Generalizable Machine Learning Models in Computational Catalysis

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