Christopher Scarvelis

12 papers A* 3Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Closed-Form Diffusion Models.
Trans. Mach. Learn. Res.
Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
2025 J jnl
Is Your Conditional Diffusion Model Actually Denoising?
CoRR
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie
2025 J jnl
Sensitivity Analysis for Diffusion Models.
CoRR
Christopher Scarvelis, Justin Solomon
2025 A* conf
Symmetry-Robust 3D Orientation Estimation.
ICML
Christopher Scarvelis, David Ben-Haim, Paul Zhang
2024 A* conf
Nuclear Norm Regularization for Deep Learning.
NeurIPS
Christopher Scarvelis, Justin M. Solomon
2024 J jnl
Nuclear Norm Regularization for Deep Learning.
CoRR
Christopher Scarvelis, Justin Solomon
2024 J jnl
Orient Anything.
CoRR
Christopher Scarvelis, David Ben-Haim, Paul Zhang
2023 J jnl
Closed-Form Diffusion Models.
CoRR
Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
2023 A* conf
Riemannian Metric Learning via Optimal Transport.
ICLR
Christopher Scarvelis, Justin Solomon
2022 J jnl
Riemannian Metric Learning via Optimal Transport.
CoRR
Christopher Scarvelis, Justin Solomon
2021 J jnl
Blind Deblurring of Barcodes via Kullback-Leibler Divergence.
IEEE Trans. Pattern Anal. Mach. Intell.
Gabriel Rioux, Christopher Scarvelis, Rustum Choksi, Tim Hoheisel, Pierre Maréchal
2020 J jnl
Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring.
CoRR
Gabriel Rioux, Rustum Choksi, Tim Hoheisel, Christopher Scarvelis