Sepp Hochreiter
Johannes Kepler University of Linz(AT)Machine Science(US)Linz Center of Mechatronics (Austria)(AT)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Hydrology and Watershed Management Studies, Hydrological Forecasting Using AI, Flood Risk Assessment and Management, Neural Networks and Applications
Most-Cited Works
- → Long Short-Term Memory(1997)94,983 cited
- → GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium(2017)4,490 cited
- → The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions(1998)2,892 cited
- → Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)(2015)2,311 cited
- → DeepTox: Toxicity Prediction using Deep Learning(2016)1,008 cited
- → Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning(2019)921 cited