Jonas Köhler

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Stochastic Optimization

Continuous Action

Top Venues

Comput. Geosci.

Publications

Wei Li, Megha Chakraborty, Claudia Quinteros Cartaya, Jonas Köhler, Johannes Faber, Men-Andrin Meier, Georg Rümpker, Nishtha Srivastava
SAIPy: A Python package for single-station earthquake monitoring using deep learning. Comput. Geosci. 192 (2024)
Jonas Köhler, Andreas Krämer, Frank Noé
Smooth Normalizing Flows. CoRR (2021)
Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti, Dimitris Gkouletsos, Dario Pavllo, Jonas Köhler
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces. CoRR (2021)
Antonio Orvieto, Jonas Köhler, Dario Pavllo, Thomas Hofmann, Aurélien Lucchi
Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks. CoRR (2021)
Dario Pavllo, Jonas Köhler, Thomas Hofmann, Aurélien Lucchi
Learning Generative Models of Textured 3D Meshes from Real-World Images. CoRR (2021)
Søren Ager Meldgaard, Jonas Köhler, Henrik Lund Mortensen, Mads-Peter V. Christiansen, Frank Noé, Bjørk Hammer
Generating stable molecules using imitation and reinforcement learning. CoRR (2021)
Nikolaos Tselepidis, Jonas Köhler, Antonio Orvieto
Two-Level K-FAC Preconditioning for Deep Learning. CoRR (2020)
Jonas Köhler, Leon Klein, Frank Noé
Equivariant Flows: exact likelihood generative learning for symmetric densities. CoRR (2020)
Hao Wu, Jonas Köhler, Frank Noé
Stochastic Normalizing Flows. CoRR (2020)
Jonas Köhler, Claudia Kuenzer
Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data - A Review. Remote. Sens. 12 (21) (2020)
Andreas Krämer, Jonas Köhler, Frank Noé
Training Neural Networks with Property-Preserving Parameter Perturbations. CoRR (2020)
Hao Wu, Jonas Köhler, Frank Noé
Stochastic Normalizing Flows. NeurIPS (2020)
Jonas Köhler, Leon Klein, Frank Noé
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities. ICML (2020)
Leonard Adolphs, Jonas Köhler, Aurélien Lucchi
Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training. CoRR (2019)
Antonio Orvieto, Jonas Köhler, Aurélien Lucchi
The Role of Memory in Stochastic Optimization. UAI (2019)
Frederik Harder, Jonas Köhler, Max Welling, Mijung Park
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning. CoRR (2019)
Antonio Orvieto, Jonas Köhler, Aurélien Lucchi
The Role of Memory in Stochastic Optimization. CoRR (2019)
Aurélien Lucchi, Jonas Köhler
A Stochastic Tensor Method for Non-convex Optimization. CoRR (2019)
Jonas Köhler, Leon Klein, Frank Noé
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies. CoRR (2019)
Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
Spherical CNNs. CoRR (2018)
Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
Spherical CNNs. ICLR (2018)
Taco Cohen, Mario Geiger, Jonas Köhler, Max Welling
Convolutional Networks for Spherical Signals. CoRR (2017)
Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, Benno Stein
Cross-Domain Mining of Argumentative Text through Distant Supervision. HLT-NAACL (2016)