Energy-based Models for Deep Probabilistic Regression. - Xixi Liu 001; Che-Tsung Lin; Christopher Zach (ICPR, 2022)

Effortless Training of Joint Energy-Based Models with Sliced Score Matching. - Xixi Liu 001; D. Staudt; Che-Tsung Lin; Christopher Zach (ICPR, 2022)

GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection. - Xixi Liu 001; Yaroslava Lochman; Christopher Zach (CVPR, 2023)

Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. - Xixi Liu 001; Jennifer Alvén; Ida Häggström; Christopher Zach (MLMI@MICCAI (2), 2023)

TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection. - Xixi Liu 001; Christopher Zach (ECCV (73), 2024)

A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction. - Huang Zhang; Xixi Liu 001; Faisal Altaf; Torsten Wik (CoRR, 2025)

Enhancing Out-of-Distribution Detection with Extended Logit Normalization. - Yifan Ding; Xixi Liu 001; Jonas Unger; Gabriel Eilertsen (CoRR, 2025)

A Practitioner's Guide to Automatic Kernel Search for Gaussian Processes in Battery Applications. - Huang Zhang; Xixi Liu 001; Faisal Altaf; Torsten Wik (CoRR, 2025)