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Bharath Ramsundar

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Open-Source Fermionic Neural Networks with Ionic Charge Initialization

Jan 16, 2024
Shai Pranesh, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar

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Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures

Oct 03, 2023
Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan

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Open Source Infrastructure for Differentiable Density Functional Theory

Sep 27, 2023
Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar

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ChemBERTa-2: Towards Chemical Foundation Models

Sep 05, 2022
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

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Score-Based Generative Models for Molecule Generation

Mar 07, 2022
Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel Kurchin, Venkatasubramanian Viswanathan

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FastFlows: Flow-Based Models for Molecular Graph Generation

Jan 28, 2022
Nathan C. Frey, Vijay Gadepally, Bharath Ramsundar

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Bringing Atomistic Deep Learning to Prime Time

Dec 09, 2021
Nathan C. Frey, Siddharth Samsi, Bharath Ramsundar, Connor W. Coley, Vijay Gadepally

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Differentiable Physics: A Position Piece

Sep 14, 2021
Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan

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ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Oct 23, 2020
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

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