news

Nov 01, 2024 Our paper A Dual-Perspective Approach to Evaluating Feature Attribution Methods is accepted by Transactions on Machine Learning Research (TMLR). (Camera-ready version coming soon)
Oct 09, 2024 Our paper FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models is accepted by Compression Workshop at NeurIPS 2024.
Feb 09, 2024 The paper Probabilistic Self-supervised Learning via Scoring Rules Minimization is accepted by ICLR 2024.
Oct 28, 2023 The paper AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments was accepted by NeurIPS 2023 XAIA Workshop. For those interested in delving into the details of our work, we have uploaded an extended version (with 9-page main text) on ArXiv.
Jun 22, 2022 The paper Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models was accepted by the ICML 2022 Workshop: Interpretable Machine Learning in Healthcare. Check out the ArXiv version.
May 18, 2022 I started an open-source project: saliency-metrics.
Feb 15, 2022 I joined the SAP AI Research as an intern.