2 citations · 3 across the 6 of their papers we have counts for
7 papers
Coding-agents can replicate scientific machine learning papers
Atharva Hans, Ilias Bilionis
Scientific machine learning papers typically make computational claims, e.g., that the relative mean square error is less than 5% or that the 95% predictive credible interval cover…
Bayesian Aneurysm Growth Detection via Surface Displacement Modeling
Jorge A. Roa Castro, Abhishek Singh, Atharva Hans +5
Clinical decisions for unruptured intracranial aneurysms depend on detecting growth on follow-up magnetic resonance angiography (MRA). Growth is typically judged from manual 2D dia…
Active Learning Discovery of High Temperature Oxidation Resistant Refractory Complex Concentrated Alloys
Akhil Bejjipurapu, Sharmila Karumuri, Joseph C. Flanagan +5
Refractory complex concentrated alloys (RCCAs) are of significant interest for advanced high-temperature applications, owing to their broad compositional range and potential for at…
SMURF: Scalable method for unsupervised reconstruction of flow in 4D flow MRI
Atharva Hans, Abhishek Singh, Pavlos Vlachos +1
We introduce SMURF, a scalable and unsupervised machine learning method for simultaneously segmenting vascular geometries and reconstructing velocity fields from 4D flow MRI data.…
Unbalanced optimal transport for stochastic particle tracking
Kairui Hao, Atharva Hans, Pavlos Vlachos +1
Non-invasive flow measurement techniques, such as particle tracking velocimetry, resolve 3D velocity fields by pairing tracer particle positions in successive time steps. These tra…
Neural information field filter
Kairui Hao, Ilias Bilionis
We introduce neural information field filter, a Bayesian state and parameter estimation method for high-dimensional nonlinear dynamical systems given large measurement datasets. So…
Mass uptake during oxidation of metallic alloys: literature data collection, analysis, and FAIR sharing
Saswat Mishra, Sharmila Karumuri, Vincent Mika +6
The area-normalized change of mass (m/A) with time during the oxidation of metallic alloys is commonly used to assess oxidation resistance. Analyses of such data can also aid in…