Sepp Hochreiter

According to our database1, Sepp Hochreiter authored at least 46 papers between 1994 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
Other 

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Bibliography

2018
RUDDER: Return Decomposition for Delayed Rewards.
CoRR, 2018

Fréchet ChemblNet Distance: A metric for generative models for molecules.
CoRR, 2018

First Order Generative Adversarial Networks.
CoRR, 2018

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.
Bioinformatics, 2018

First Order Generative Adversarial Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields.
CoRR, 2017

Self-Normalizing Neural Networks.
CoRR, 2017

GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium.
CoRR, 2017

Rectified factor networks for biclustering of omics data.
Bioinformatics, 2017

Self-Normalizing Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Toxicity Prediction using Deep Learning.
CoRR, 2015

Rectified Factor Networks.
CoRR, 2015

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).
CoRR, 2015

KeBABS: an R package for kernel-based analysis of biological sequences.
Bioinformatics, 2015

Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.
Bioinformatics, 2015

msa: an R package for multiple sequence alignment.
Bioinformatics, 2015

Rectified Factor Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Furby: fuzzy force-directed bicluster visualization.
BMC Bioinformatics, 2014

2013
Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212).
Dagstuhl Reports, 2013

2011
APCluster: an R package for affinity propagation clustering.
Bioinformatics, 2011

2010
FABIA: factor analysis for bicluster acquisition.
Bioinformatics, 2010

2009
Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

09081 Summary - Similarity-based learning on structures.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

09081 Abstracts Collection - Similarity-based learning on structures.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

2008
An SMO Algorithm for the Potential Support Vector Machine.
Neural Computation, 2008

2007
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.
Bioinformatics, 2007

Fast model-based protein homology detection without alignment.
Bioinformatics, 2007

Optimality of LSTD and its Relation to MC.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Support Vector Machines for Dyadic Data.
Neural Computation, 2006

A new summarization method for affymetrix probe level data.
Bioinformatics, 2006

P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data.
Proceedings of the International Joint Conference on Neural Networks, 2006

2002
Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Learning to Learn Using Gradient Descent.
Proceedings of the Artificial Neural Networks, 2001

A Discrete Probabilistic Memory Model for Discovering Dependencies in Time.
Proceedings of the Artificial Neural Networks, 2001

2000
Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Feature Extraction Through LOCOCODE.
Neural Computation, 1999

Nonlinear ICA through low-complexity autoencoders.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

1998
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998

Source Separation as a By-Product of Regularization.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Flat Minima
Neural Computation, 1997

Long Short-Term Memory.
Neural Computation, 1997

Unsupervised Coding with LOCOCODE.
Proceedings of the Artificial Neural Networks, 1997

1996
LSTM can Solve Hard Long Time Lag Problems.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1994
Simplifying Neural Nets by Discovering Flat Minima.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994


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