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03/11/2023
Enhancing Protein Language Models with Structure-based Encoder and Pre-training
Protein language models (PLMs) pre-trained on large-scale protein sequen...
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01/28/2023
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction
Pre-training methods on proteins are recently gaining interest, leveragi...
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11/18/2022
Knowledge Graph Generation From Text
In this work we propose a novel end-to-end multi-stage Knowledge Graph (...
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10/05/2022
AlphaFold Distillation for Improved Inverse Protein Folding
Inverse protein folding, i.e., designing sequences that fold into a give...
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08/13/2022
Cloud-Based Real-Time Molecular Screening Platform with MolFormer
With the prospect of automating a number of chemical tasks with high fid...
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11/10/2021
Physics-enhanced deep surrogates for PDEs
We present a "physics-enhanced deep-surrogate ("PEDS") approach towards ...
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08/27/2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
Automatic construction of relevant Knowledge Bases (KBs) from text, and ...
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06/08/2021
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
Deep generative models have emerged as a powerful tool for learning info...
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05/22/2020
