Sepp Hochreiter

Researcher Next ID · RN-007882

Researcher · Computer Science

Linz, Austria

Not currently recruitingFunding unknown

Research interests

Computer Science

Environmental Science

Computational Drug Discovery Methods

Hydrology and Watershed Management Studies

Hydrological Forecasting Using AI

Flood Risk Assessment and Management

Neural Networks and Applications

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
arXiv (Cornell University) · 2017 · https://doi.org/10.48550/arxiv.1706.08500
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash\n Equilibrium
arXiv (Cornell University) · 2017 · https://doi.org/10.48550/arxiv.1706.08500
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
arXiv (Cornell University) · 2015 · https://doi.org/10.48550/arxiv.1511.07289
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 1998 · https://doi.org/10.1142/s0218488598000094
Long Short-Term Memory
Neural Computation · 1997 · https://doi.org/10.1162/neco.1997.9.8.1735

No projects listed.