Showing 1–20 of 32 results
/ Date/ Name
Oct 19, 2018On Extensions of CLEVER: A Neural Network Robustness Evaluation AlgorithmOct 5, 2022AlphaFold Distillation for Protein DesignJul 11, 2013Minimum Distance Estimation for Robust High-Dimensional RegressionMay 26, 2016A General Family of Trimmed Estimators for Robust High-dimensional Data AnalysisMar 18, 2024Larimar: Large Language Models with Episodic Memory ControlMar 11, 2022Protein Representation Learning by Geometric Structure PretrainingFeb 7, 2024Structure-Informed Protein Language ModelFeb 10, 2024ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function AnnotationNov 12, 2021Benchmarking deep generative models for diverse antibody sequence designFeb 6, 2024Learning Granger Causality from Instance-wise Self-attentive Hawkes ProcessesJan 22, 2017Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing WorldFeb 28, 2024NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language ModelsMay 30, 2025Aligning Protein Conformation Ensemble Generation with Physical FeedbackMar 11, 2023A Systematic Study of Joint Representation Learning on Protein Sequences and StructuresJan 28, 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory PredictionAug 9, 2014Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger CausalityMay 19, 2018M-estimation with the Trimmed l1 PenaltyFeb 25, 2022Directed Graph Auto-EncodersApr 29, 2018Simultaneous Parameter Learning and Bi-Clustering for Multi-Response ModelsJun 15, 2016Understanding Innovation to Drive Sustainable Development