Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentationby…
Statistical Test on Diffusion Model-based Anomaly Detection by Selective Inferenceby Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki…
Graph Out-of-Distribution Generalization via Causal Interventionby Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi…
Dynamic planning in hierarchical active inferenceby Matteo Priorelli, Ivilin Peev StoianovFirst submitted to arxiv on:…
Variational Entropy Search for Adjusting Expected Improvementby Nuojin Cheng, Stephen BeckerFirst submitted to arxiv on:…
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processesby Jeremiah Hauth, Cosmin Safta,…
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvementby Chi Zhang,…
Training Bayesian Neural Networks with Sparse Subspace Variational Inferenceby Junbo Li, Zichen Miao, Qiang Qiu,…
Speculative Streaming: Fast LLM Inference without Auxiliary Modelsby Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry…
Conformalized Credal Set Predictorsby Alireza Javanmardi, David Stutz, Eyke HüllermeierFirst submitted to arxiv on: 16…