Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced…
Comparing Hyper-optimized Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cellsby David Valiente,…
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Marketsby Yvet Renkema, Nico Brinkel,…
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methodsby Xiangfei Qiu, Jilin Hu,…
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screeningby Hei Yi Mak,…
Functional Bilevel Optimization for Machine Learningby Ieva Petrulionyte, Julien Mairal, Michael ArbelFirst submitted to arxiv…
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Databy Xin Zou, Weiwei LiuFirst submitted to arxiv on: 29…
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformerby Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang,…
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Databy Muhammad Sakib Khan Inan,…
A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine…