Aashwin Ananda Mishra

According to our database, Aashwin Ananda Mishra authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Towards single-shot coherent imaging via overlap-free ptychography.

Oliver Hoidn, Aashwin Ananda Mishra, Steven Henke, Albert Vong, Matt Seaberg

CoRR, February, 2026

2025

Reversing the Lens: Using Explainable AI to Understand Human Expertise.

Roussel Rahman, Aashwin Ananda Mishra, Wan-Lin Hu

CoRR, October, 2025

A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs.

Roussel Rahman, Aashwin Ananda Mishra

CoRR, September, 2025

2024

Network Models of Expertise in the Complex Task of Operating Particle Accelerators.

Roussel Rahman, Jane Shtalenkova, Aashwin Ananda Mishra, Wan-Lin Hu

CoRR, 2024

Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation.

Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon

CoRR, 2024

Uncertainty Quantification via Stable Distribution Propagation.

Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction.

Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta

CoRR, 2023

2021

Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion.

Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme

CoRR, 2021

Data Driven Physics Constrained Perturbations for Turbulence Model Uncertainty Estimation.

Jan Felix Heyse, Aashwin Ananda Mishra, Gianluca Iaccarino

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

Accelerating High-fidelity Combustion Simulations with Classification Algorithms.

Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Data-assisted combustion simulations with dynamic submodel assignment using random forests.

Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme

CoRR, 2020