news

Oct. 2026 Preprint: Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation, on improving CRL theory and applying it to state estimation from unlabeled robot arm simulations.
Oct. 2026 Workshop: We are organizing the Identifiable Representation Learning Workshop at Banff International Research Station.
Sep. 2026 NeurIPS 2026: One paper accepted — Beyond Eigenfunctions: Divergence Principal Functions for Representation Learning (preprint coming soon).
Aug. 2026 Faculty: I joined University of Delaware as a tenure-track Assistant Professor in ECE!
Jan. 2026 Talk: I gave an invited talk at INFORMED-AI Hub on Identifiable Representation Learning.
Dec. 2025 Award: I am honored to be a recipient of the 2025 IEEE Signal Processing Society Best PhD Dissertation Award.
Nov. 2025 NeurIPS Workshop 2025: CRL application on robotics! ROPES: Robotic Pose Estimation via Score-Based Causal Representation Learning. It will appear at NeurIPS Embodied World Models Workshop, see you at San Diego!
Oct. 2025 New preprint on identifiable representation learning: Eigenfunction Extraction for Ordered Representation Learning.
Jul. 2025 JMLR: Our paper Score-based Causal Representation Learning: Linear and General Transformations is published in Journal of Machine Learning Research (JMLR)!
May. 2025 ICML 2025: Our paper Contextures: Representations from Contexts is accepted to ICML.
Mar. 2025 AAAI 2025: Attending AAAI at Philadephia! Check out our tutorial on Causal Representation Learning, see the slides here. Also gave a talk at the workshop on AI with Causal Techniques.
Jan. 2025 AISTATS 2025: Our paper On the Consistent Recovery of Joint Distributions from Conditionals is accepted to AISTATS.
Sep. 2024 NeurIPS 2024: Three papers have been accepted to NeurIPS 2024: mixture causal discovery, multi-node interventional CRL, and sample complexity of CRL. See you in Vancouver!
Jun. 2024 Manuscript on causal discovery: Interventional Causal Discovery in a Mixture of DAGs.
Jun. 2024 Manuscript on CRL from multi-node interventions!: Linear Causal Representation Learning from Unknown Multi-node Interventions.
Mar. 2024 Our paper Robust Causal Bandits for Linear Models is published in JSAIT.
Feb. 2024 New manuscript on CRL: Score-based Causal Representation Learning: Linear and General Transformations.
Jan. 2024 Our paper General Identifiability and Achievability for Causal Representation Learning is accepted for an ✨oral presentation✨ at AISTATS 2024!
Nov. 2023 Honored to be selected as a Top Reviewer for NeurIPS 2023.
Nov. 2023 I will give a talk at the Causal Representation Learning Workshop at NeurIPS on our paper. See you in New Orleans!