Hartmut Maennel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Latent Dirichlet Allocation

Auto Associative

Trained Neural Network

Manually Labeled

Top Venues

Publications

Oliver T. Unke, Hartmut Maennel
E3x: E(3)-Equivariant Deep Learning Made Easy. CoRR (2024)
Oliver T. Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Alexandre Tkatchenko, Klaus-Robert Müller
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations. CoRR (2022)
Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers
The Impact of Reinitialization on Generalization in Convolutional Neural Networks. CoRR (2021)
Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur
Deep Learning Through the Lens of Example Difficulty. NeurIPS (2021)
Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur
Deep Learning Through the Lens of Example Difficulty. CoRR (2021)
Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
What Do Neural Networks Learn When Trained With Random Labels? NeurIPS (2020)
Hartmut Maennel
Exact marginal inference in Latent Dirichlet Allocation. CoRR (2020)
Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
What Do Neural Networks Learn When Trained With Random Labels? CoRR (2020)
Carlos Riquelme, Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto, Gergely Neu
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. NeurIPS (2019)
Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy A. Mann, André Barreto, Sylvain Gelly, Gergely Neu
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. CoRR (2019)
Hartmut Maennel, Olivier Bousquet, Sylvain Gelly
Gradient Descent Quantizes ReLU Network Features. CoRR (2018)
Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem. CoRR (2018)