Split Gibbs Discrete Diffusion Posterior Sampling.
CoRR, March, 2025
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.
CoRR, 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing.
CoRR, 2024
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.
CoRR, 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Distributed Robust Principal Analysis.
CoRR, 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data.
CoRR, 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models.
Proceedings of the International Conference on Machine Learning, 2022