Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson’s Diseaseby…
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustnessby Qi Zhang, Yifei Wang, Jingyi…
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inferenceby Changwoo Lee, Soo Min…
EMOCPD: Efficient Attention-based Models for Computational Protein Design Using Amino Acid Microenvironmentby Xiaoqi Ling, Cheng…
Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluationby Jaechang…
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Databy Saptarshi Chakraborty, Peter L.…
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamicsby Siddharth Viswanath, Dhananjay Bhaskar, David…
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learningby Jinze Wang, Jiong…
Prototypical Extreme Multi-label Classification with a Dynamic Margin Lossby Kunal Dahiya, Diego Ortego, David JiménezFirst…
Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloysby Lu Wang, Hongchan Chen,…