Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventionsby Abdullah Mamun,…
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional…
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?by Khashayar Gatmiry, Nikunj…
Testing Credibility of Public and Private Surveys through the Lens of Regressionby Debabrota Basu, Sourav…
A Strategy for Label Alignment in Deep Neural Networksby Xuanrui ZengFirst submitted to arxiv on:…
Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspectiveby Meng Ding, Rohan Sharma, Changyou Chen, Jinhui…
Distributed Learning with Discretely Observed Functional Databy Jiading Liu, Lei ShiFirst submitted to arxiv on:…
Transformers Handle Endogeneity in In-Context Linear Regressionby Haodong Liang, Krishnakumar Balasubramanian, Lifeng LaiFirst submitted to…
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operatorsby Manuel Treutlein, Marc…
Most Influential Subset Selection: Challenges, Promises, and Beyondby Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi…