MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs. - Federico Monti; Karl Otness; Michael M. Bronstein (DSW, 2018)

An Extensible Benchmark Suite for Learning to Simulate Physical Systems. - Karl Otness; Arvi Gjoka; Joan Bruna; Daniele Panozzo; Benjamin Peherstorfer; Teseo Schneider; Denis Zorin (NeurIPS Datasets and Benchmarks, 2021)

Data-driven multiscale modeling of subgrid parameterizations in climate models. - Karl Otness; Laure Zanna; Joan Bruna (CoRR, 2023)

adrt: approximate discrete Radon transform for Python. - Karl Otness; Donsub Rim (J. Open Source Softw., 2023)

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence. - Fei Er Yan; Hugo Frezat; Julien Le Sommer; Julian Mak; Karl Otness (CoRR, 2024)

An explicit spectral decomposition of the ADRT. - Weilin Li; Karl Otness; Kui Ren; Donsub Rim (CoRR, 2024)