Muhammad Ashiq

About Me

Portrait of Muhammad Ashiq

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📚 Google Scholar

Hello! I am an EECS Ph.D. student at the University of Michigan in the DeepThink Lab, advised by Qing Qu and working closely with Ismail Alkhouri at Los Alamos National Laboratory. I am thankful to be supported by the NSF GRFP.

My research interests are broadly in generative ML and applied mathematics. I currently work on:

  • Theory for trustworthiness, understanding and controlling generative models.
  • Algorithms for science, designing new samplers for PDE inverse problems and data assimilation.

Before coming to Michigan, I studied math and CS at UW-Madison, working with Grigorios Chrysos on trustworthy ML. I also worked with Yeyu Wang and the Epistemic Analytics lab on learning analytics.

Selected Publications

* denotes equal contribution.

Thumbnail for DDIM vs DDPM paper

Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics

M. H. Ashiq*, S. Arora*, A. N. Harish, I. Kharbanda, H. Y. Tseng, G. G. Chrysos

International Conference on Machine Learning (ICML), 2026.

arXiv PDF Code Website

Thumbnail for FunBCS paper

Backward-Consistent Diffusion Sampling for Sparsely Observed PDE Inverse Problems

Y. Pan*, M. H. Ashiq*, C. Jung, Y. Jia, J. M. Miller, Q. Qu, I. R. Alkhouri

Neural Information Processing Systems (NeurIPS) Workshop on AI for Stochastic Dynamics, 2026.

arXiv PDF Code Website

Thumbnail for test-time privacy paper

Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition

M. H. Ashiq, P. Triantafillou, H. Y. Tseng, G. G. Chrysos

Neural Information Processing Systems (NeurIPS) Workshop on Regulatable ML, 2025.

arXiv PDF Code

Thumbnail for arithmetic length generalization paper

Data Augmentations for Arithmetic Length Generalization in Transformers

L. Zhou, M. H. Ashiq, G. G. Chrysos

Neural Information Processing Systems (NeurIPS) Workshop on What Can't Transformers Do, 2025.

Other publications, including all those in learning analytics, can be found at my Google Scholar.

Miscellaneous