Christopher Scarvelis

According to our database, Christopher Scarvelis authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Is Your Conditional Diffusion Model Actually Denoising?

Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie

CoRR, December, 2025

Sensitivity Analysis for Diffusion Models.

Christopher Scarvelis, Justin Solomon

CoRR, September, 2025

Closed-Form Diffusion Models.

Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon

Trans. Mach. Learn. Res., 2025

Is Your Diffusion Model Actually Denoising?

Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Symmetry-Robust 3D Orientation Estimation.

Christopher Scarvelis, David Ben-Haim, Paul Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Orient Anything.

Christopher Scarvelis, David Ben-Haim, Paul Zhang

CoRR, 2024

Nuclear Norm Regularization for Deep Learning.

Christopher Scarvelis, Justin M. Solomon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Riemannian Metric Learning via Optimal Transport.

Christopher Scarvelis, Justin Solomon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Blind Deblurring of Barcodes via Kullback-Leibler Divergence.

Gabriel Rioux, Christopher Scarvelis, Rustum Choksi, Tim Hoheisel, Pierre Maréchal

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring.

Gabriel Rioux, Rustum Choksi, Tim Hoheisel, Christopher Scarvelis

CoRR, 2020