Ruthotto, Lars

7 publications

ICML 2023 Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof, Lars Ruthotto, Eran Treister

AISTATS 2022 Multivariate Quantile Function Forecaster Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus

NeurIPSW 2021 MGIC: Multigrid-in-Channels Neural Network Architectures Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister

AAAI 2021 OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

ICML 2019 IMEXnet a Forward Stable Deep Neural Network Eldad Haber, Keegan Lensink, Eran Treister, Lars Ruthotto

AAAI 2018 Learning Across Scales - Multiscale Methods for Convolution Neural Networks Eldad Haber, Lars Ruthotto, Elliot Holtham, Seong-Hwan Jun

AAAI 2018 Reversible Architectures for Arbitrarily Deep Residual Neural Networks Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham