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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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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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03/11/2022
Protein Representation Learning by Geometric Structure Pretraining
Learning effective protein representations is critical in a variety of t...
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02/25/2022
Directed Graph Auto-Encoders
We introduce a new class of auto-encoders for directed graphs, motivated...
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11/12/2021
Benchmarking deep generative models for diverse antibody sequence design
Computational protein design, i.e. inferring novel and diverse protein s...
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10/19/2018
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm
CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is an Extr...
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05/19/2018
M-estimation with the Trimmed l1 Penalty
We study high-dimensional M-estimators with the trimmed ℓ_1 penalty. Whi...
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04/29/2018
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models
We consider multi-response and multitask regression models, where the pa...
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01/22/2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
In this paper, we focus on online representation learning in non-station...
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06/15/2016
Understanding Innovation to Drive Sustainable Development
Innovation is among the key factors driving a country's economic and soc...
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05/26/2016
A General Family of Trimmed Estimators for Robust High-dimensional Data Analysis
We consider the problem of robustifying high-dimensional structured esti...
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08/09/2014
