Neural ODEs as the Deep Limit of ResNets with constant weights. - Benny Avelin; Kaj Nyström (CoRR, 2019)

Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI. - Taro Langner; Fredrik K. Gustafsson; Benny Avelin; Robin Strand; Håkan Ahlström; Joel Kullberg (Comput. Medical Imaging Graph., 2021)

Deep limits and cut-off phenomena for neural networks. - Benny Avelin; Anders Karlsson (CoRR, 2021)

Concentration inequalities for leave-one-out cross validation. - Benny Avelin; Lauri Viitasaari (CoRR, 2022)

Deep Limits and a Cut-Off Phenomenon for Neural Networks. - Benny Avelin; Anders Karlsson (J. Mach. Learn. Res., 2022)

Exploring Singularities in point clouds with the graph Laplacian: An explicit approach. - Martin Andersson; Benny Avelin (CoRR, 2023)

Sequential inductive prediction intervals. - Benny Avelin (CoRR, 2023)

Training in reverse: How iteration order influences convergence and stability in deep learning. - Benoit Dherin; Benny Avelin; Anders Karlsson; Hanna Mazzawi; Javier Gonzalvo; Michael Munn (CoRR, 2025)