16 citations · 30 across the 4 of their papers we have counts for
3 papers · 1 filter
Benchmarking Long Roll-outs of Auto-regressive Neural Operators for the Compressible Navier-Stokes Equations with Conserved Quantity Correction
Sean Current, Chandan Kumar, Datta Gaitonde +1
Deep learning has been proposed as an efficient alternative for the numerical approximation of PDE solutions, offering fast, iterative simulation of PDEs through the approximation…
DiffER: Categorical Diffusion for Chemical Retrosynthesis
Sean Current, Ziqi Chen, Daniel Adu-Ampratwum +2
Methods for automatic chemical retrosynthesis have found recent success through the application of models traditionally built for natural language processing, primarily through tra…
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
Sean Current, Yuntian He, Saket Gurukar +1
As machine learning becomes more widely adopted across domains, it is critical that researchers and ML engineers think about the inherent biases in the data that may be perpetuated…