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Sepp Hochreiter: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sepp Hochreiter, Michael Mozer
    A Discrete Probabilistic Memory Model for Discovering Dependencies in Time. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:661-668 [Conf]
  2. Sepp Hochreiter, Jürgen Schmidhuber
    Unsupervised Coding with LOCOCODE. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:655-660 [Conf]
  3. Sepp Hochreiter, A. Steven Younger, Peter R. Conwell
    Learning to Learn Using Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:87-94 [Conf]
  4. Sepp Hochreiter, Jürgen Schmidhuber
    Nonlinear ICA through low-complexity autoencoders. [Citation Graph (0, 0)][DBLP]
    ISCAS (5), 1999, pp:53-56 [Conf]
  5. Sepp Hochreiter, Michael Mozer
    Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:535-541 [Conf]
  6. Sepp Hochreiter, Michael Mozer, Klaus Obermayer
    Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:545-552 [Conf]
  7. Sepp Hochreiter, Klaus Obermayer
    Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:889-896 [Conf]
  8. Sepp Hochreiter, Jürgen Schmidhuber
    Simplifying Neural Nets by Discovering Flat Minima. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:529-536 [Conf]
  9. Sepp Hochreiter, Jürgen Schmidhuber
    LSTM can Solve Hard Long Time Lag Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:473-479 [Conf]
  10. Sepp Hochreiter, Jürgen Schmidhuber
    Source Separation as a By-Product of Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:459-465 [Conf]
  11. Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer
    A new summarization method for affymetrix probe level data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:8, pp:943-949 [Journal]
  12. Sepp Hochreiter
    The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998, v:6, n:2, pp:107-116 [Journal]
  13. Sepp Hochreiter, Jürgen Schmidhuber
    Flat Minima [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:1, pp:1-42 [Journal]
  14. Sepp Hochreiter, Jürgen Schmidhuber
    Feature Extraction Through LOCOCODE. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:3, pp:679-714 [Journal]
  15. Sepp Hochreiter, Klaus Obermayer
    Support Vector Machines for Dyadic Data. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:6, pp:1472-1510 [Journal]
  16. Sepp Hochreiter, Jürgen Schmidhuber
    Long Short-Term Memory. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:8, pp:1735-1780 [Journal]

  17. Optimality of LSTD and its Relation to MC. [Citation Graph (, )][DBLP]


  18. P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. [Citation Graph (, )][DBLP]


  19. Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations. [Citation Graph (, )][DBLP]


  20. I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data. [Citation Graph (, )][DBLP]


  21. Fast model-based protein homology detection without alignment. [Citation Graph (, )][DBLP]


  22. FABIA: factor analysis for bicluster acquisition. [Citation Graph (, )][DBLP]


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