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2020 – today
- 2024
[c3]Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin:
Uncertainty Quantification via Stable Distribution Propagation. ICLR 2024- [i6]Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin:
Uncertainty Quantification via Stable Distribution Propagation. CoRR abs/2402.08324 (2024) - [i5]Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon:
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation. CoRR abs/2410.08125 (2024) - [i4]Roussel Rahman, Jane Shtalenkova, Aashwin Ananda Mishra, Wan-Lin Hu:
Network Models of Expertise in the Complex Task of Operating Particle Accelerators. CoRR abs/2412.17988 (2024) - 2023
- [i3]Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta:
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction. CoRR abs/2306.11014 (2023) - 2021
- [c2]Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme:
Accelerating High-fidelity Combustion Simulations with Classification Algorithms. AAAI Spring Symposium: MLPS 2021 - [c1]Jan Felix Heyse, Aashwin Ananda Mishra, Gianluca Iaccarino:
Data Driven Physics Constrained Perturbations for Turbulence Model Uncertainty Estimation. AAAI Spring Symposium: MLPS 2021 - [i2]Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme:
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion. CoRR abs/2103.06397 (2021) - 2020
- [i1]Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis
, Matthias Ihme:
Data-assisted combustion simulations with dynamic submodel assignment using random forests. CoRR abs/2009.04023 (2020)
Coauthor Index
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