Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
Published in The Thirty-Ninth Annual Conference on Neural Information Processing Systems(NeurIPS), Spotlight, 2025
FCM is a training-free, likelihood-guided diffusion update that auto-tunes step sizes via forward-mode autodiff and curvature probes, enabling fast, stable 3D point-cloud reconstruction from single/multi-view inputs. OpenReview · Project page · Code
FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion-Prior Inverse Problems
Published in The Fourteenth International Conference on Learning Representations (ICLR), 2026
FAST-DIPS is a training-free diffusion-prior inverse-problem solver that enforces a hard measurement-space feasibility constraint via an adjoint-free ADMM correction with an analytic (or forward-difference) step size, plus decoupled re-annealing. It supports linear/nonlinear forward operators without hand-coded adjoints and includes pixel, latent, and hybrid pixel→latent variants for faster, stable reconstructions. OpenReview · PDF · Code
Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
Published in The Forty-Third International Conference on Machine Learning (ICML), 2026
CLAMP is a diffusion posterior sampler for inverse problems that replaces hand-tuned scalar likelihood guidance with geometry-aware, per-noise-level damped Gauss–Newton corrections in diffusion-state coordinates. It pulls likelihood sensitivity back through the denoiser, uses a one-sided curvature model with manifold-aligned rank-one damping, solves each correction with matrix-free GMRES, and advances sampling via a variance-preserving Langevin transition. OpenReview · PDF
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.