Jörg Bornschein
Publications by Year
Research Areas
Neural Networks and Applications, Domain Adaptation and Few-Shot Learning, Topic Modeling, Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions
Most-Cited Works
- → Towards Biologically Plausible Deep Learning(2015)296 cited
- → Reweighted Wake-Sleep(2014)32 cited
- → Binary Sparse Coding(2010)29 cited
- Variational Memory Addressing in Generative Models(2017)
- → Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study(2013)23 cited
- → Learning to Induce Causal Structure(2022)17 cited
- → Nonlinear Spike-And-Slab Sparse Coding for Interpretable Image Encoding(2015)13 cited
- Bidirectional Helmholtz machines(2016)
- → Small Data, Big Decisions: Model Selection in the Small-Data Regime(2020)10 cited