RB-Modulation: Training-Free Stylization using Reference-Based Modulation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Constrained Posterior Sampling: Time Series Generation with Hard Constraints.
CoRR, 2024
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations.
CoRR, 2024
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.
CoRR, 2024
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models.
CoRR, 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Hierarchical Sliced Wasserstein Distance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Hierarchical Sliced Wasserstein Distance.
CoRR, 2022
Unpaired Image Super-Resolution with Optimal Transport Maps.
CoRR, 2022
Generative Modeling with Optimal Transport Maps.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2020
Understanding the Role of Adversarial Regularization in Supervised Learning.
CoRR, 2020
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Is Supervised Learning With Adversarial Features Provably Better Than Sole Supervision?
CoRR, 2019
DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets.
CoRR, 2019
Rotation Adaptive Visual Object Tracking with Motion Consistency.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking.
Proceedings of the Computer Vision - ACCV 2018, 2018