Sepp Hochreiter
Orcid: 0000-0001-7449-2528Affiliations:
- Johannes Kepler University of Linz, Austria
According to our database1,
Sepp Hochreiter
authored at least 124 papers
between 1994 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
CoRR, 2024
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations.
CoRR, 2024
SymbolicAI: A framework for logic-based approaches combining generative models and solvers.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Des. Test, February, 2023
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.
IEEE Trans. Image Process., 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.
Nat. Comput. Sci., 2022
J. Medical Syst., 2022
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks.
J. Chem. Inf. Model., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
2021
Trans. Large Scale Data Knowl. Centered Syst., 2021
Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning.
CoRR, 2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications.
CoRR, 2021
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Industry-scale application and evaluation of deep learning for drug target prediction.
J. Cheminformatics, 2020
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network.
CoRR, 2020
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.
J. Chem. Inf. Model., 2019
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images.
CoRR, 2019
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling.
CoRR, 2019
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery.
J. Chem. Inf. Model., 2018
Bioinform., 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Proceedings of the 4th International Conference on Learning Representations, 2016
2015
Bioinform., 2015
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map.
Bioinform., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
2013
Dagstuhl Reports, 2013
2011
2010
2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009
2008
2007
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.
Bioinform., 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods.
Proceedings of the Blind Speech Separation, 2007
2006
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Feature Extraction - Foundations and Applications, 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
Proceedings of the Artificial Neural Networks, 2001
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
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.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
1997
Proceedings of the Artificial Neural Networks, 1997
1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994