Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Modelsby Xingyuan Zhang, Philip…
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertaintyby Laixi Shi, Eric Mazumdar,…
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exitingby Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng…
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Modelsby Song MeiFirst…
Reduced-Rank Multi-objective Policy Learning and Optimizationby Ezinne Nwankwo, Michael I. Jordan, Angela ZhouFirst submitted to…
Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta)by Martin Tschaikner, Danja Brandt, Henning Schmidt, Felix…
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networksby…
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-ADby Valentina…
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learningby Weike Peng,…
Solving Partial Differential Equations with Equivariant Extreme Learning Machinesby Hans Harder, Jean Rabault, Ricardo Vinuesa,…