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2020 – today
- 2024
[c3]S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang:
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. ICML 2024- [i6]S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Yuyang Wang:
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. CoRR abs/2403.10642 (2024) - [i5]Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart:
Learning Optimal Filters Using Variational Inference. CoRR abs/2406.18066 (2024) - [i4]Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Yuyang Wang, Andrew Stuart, Michael W. Mahoney:
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics. CoRR abs/2407.14129 (2024) - [i3]Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso, Andrew Stuart:
Inverse Problems and Data Assimilation: A Machine Learning Approach. CoRR abs/2410.10523 (2024) - [i2]Shwetha Ram, Tal Neiman, Qianli Feng, Andrew Stuart, Son Tran, Trishul Chilimbi:
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models. CoRR abs/2411.19390 (2024) - [i1]Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Yuyang Wang:
Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions. CoRR abs/2412.01786 (2024) - 2021
- [j1]Dmitry Burov, Dimitrios Giannakis
, Krithika Manohar, Andrew Stuart:
Kernel Analog Forecasting: Multiscale Test Problems. Multiscale Model. Simul. 19(2): 1011-1040 (2021)
2010 – 2019
- 2012
- [c2]Clara Mancini, Janet van der Linden, Jon Bryan, Andrew Stuart:
Exploring interspecies sensemaking: dog tracking semiotics and multispecies ethnography. UbiComp 2012: 143-152 - 2010
- [c1]Matthew Hause, Andrew Stuart, David Richards, Jon Holt:
Testing Safety Critical Systems with SysML/UML. ICECCS 2010: 325-330
Coauthor Index
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