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Adeesh Kolluru
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2020 – today
- 2024
- [c4]Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood:
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. ICLR 2024 - [c3]Adeesh Kolluru, John R. Kitchin:
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion. ICML 2024 - [i5]Adeesh Kolluru, John R. Kitchin
:
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion. CoRR abs/2405.03962 (2024) - 2023
- [i4]Nima Shoghi, Adeesh Kolluru, John R. Kitchin
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. CoRR abs/2310.16802 (2023) - 2022
- [c2]Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood:
Spherical Channels for Modeling Atomic Interactions. NeurIPS 2022 - [i3]Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR abs/2206.08917 (2022) - [i2]C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram
Spherical Channels for Modeling Atomic Interactions. CoRR abs/2206.14331 (2022) - 2021
- [c1]Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev:
The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) 2021: 29-40 - [i1]Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick:
Rotation Invariant Graph Neural Networks using Spin Convolutions. CoRR abs/2106.09575 (2021)
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last updated on 2024-10-07 21:21 CEST by the dblp team
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