Aashwin Ananda Mishra

12 papers A* 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards single-shot coherent imaging via overlap-free ptychography. CoRR Oliver Hoidn, Aashwin Ananda Mishra, Steven Henke, Albert Vong, Matt Seaberg
2025	J	`jnl`	A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs. CoRR Roussel Rahman, Aashwin Ananda Mishra
2025	J	`jnl`	Reversing the Lens: Using Explainable AI to Understand Human Expertise. CoRR Roussel Rahman, Aashwin Ananda Mishra, Wan-Lin Hu
2024	J	`jnl`	Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation. CoRR Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon
2024	J	`jnl`	Network Models of Expertise in the Complex Task of Operating Particle Accelerators. CoRR Roussel Rahman, Jane Shtalenkova, Aashwin Ananda Mishra, Wan-Lin Hu
2024	A*	`conf`	Uncertainty Quantification via Stable Distribution Propagation. ICLR Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2024	J	`jnl`	Uncertainty Quantification via Stable Distribution Propagation. CoRR Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2023	J	`jnl`	Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction. CoRR Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta
2021	—	`conf`	Accelerating High-fidelity Combustion Simulations with Classification Algorithms. AAAI Spring Symposium: MLPS Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme
2021	—	`conf`	Data Driven Physics Constrained Perturbations for Turbulence Model Uncertainty Estimation. AAAI Spring Symposium: MLPS Jan Felix Heyse, Aashwin Ananda Mishra, Gianluca Iaccarino
2021	J	`jnl`	Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion. CoRR Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme
2020	J	`jnl`	Data-assisted combustion simulations with dynamic submodel assignment using random forests. CoRR Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz