Sepp Hochreiter | Academic Influence

Sepp Hochreiter's AcademicInfluence.com Rankings

Sepp Hochreiter

Computer Science

#70

World Rank

#73

Historical Rank

Machine Learning

#12

World Rank

#12

Historical Rank

Algorithms

#14

World Rank

#14

Historical Rank

Artificial Intelligence

#35

World Rank

#38

Historical Rank

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Computer Science

Sepp Hochreiter's Degrees

PhD Computer Science Technical University of Munich

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Best Online PhD of Computer Science (Doctorates) 2025

Why Is Sepp Hochreiter Influential?

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According to Wikipedia, Josef "Sepp" Hochreiter is a German computer scientist. Since 2018 he has led the Institute for Machine Learning at the Johannes Kepler University of Linz after having led the Institute of Bioinformatics from 2006 to 2018. In 2017 he became the head of the Linz Institute of Technology AI Lab. Hochreiter is also a founding director of the Institute of Advanced Research in Artificial Intelligence . Previously, he was at the Technical University of Berlin, at the University of Colorado at Boulder, and at the Technical University of Munich. He is a chair of the Critical Assessment of Massive Data Analysis conference.

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Sepp Hochreiter's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Long Short-Term Memory (1997) (63450)
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium (2017) (6551)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) (2015) (4371)
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions (1998) (1861)
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies (2001) (1748)
Self-Normalizing Neural Networks (2017) (1568)
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) (799)
LSTM can Solve Hard Long Time Lag Problems (1996) (768)
Flat Minima (1997) (637)
Learning to Learn Using Gradient Descent (2001) (583)
DeepTox: Toxicity Prediction using Deep Learning (2016) (554)
APCluster: an R package for affinity propagation clustering (2011) (413)
cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate (2012) (374)
msa: an R package for multiple sequence alignment (2015) (330)
FABIA: factor analysis for bicluster acquisition (2010) (286)
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium (2017) (278)
A new summarization method for affymetrix probe level data (2006) (267)
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL† †Electronic supplementary information (ESI) available: Overview, Data Collection and Clustering, Methods, Results, Appendix. See DOI: 10.1039/c8sc00148k (2018) (261)
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning (2017) (251)
Speeding up Semantic Segmentation for Autonomous Driving (2016) (244)
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets (2019) (240)
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning (2019) (202)
REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS (1995) (189)
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery (2018) (174)
Hopfield Networks is All You Need (2020) (161)
Simplifying Neural Nets by Discovering Flat Minima (1994) (154)
Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. (2018) (139)
Toxicity Prediction using Deep Learning (2015) (133)
RUDDER: Return Decomposition for Delayed Rewards (2018) (132)
Fast model-based protein homology detection without alignment (2007) (130)
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data (2007) (128)
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures (2014) (118)
Prediction of human population responses to toxic compounds by a collaborative competition (2015) (101)
Support Vector Machines for Dyadic Data (2006) (92)
Feature Extraction Through LOCOCODE (1999) (87)
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network (2020) (81)
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project. (2015) (77)
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields (2017) (66)
Interpretable Deep Learning in Drug Discovery (2019) (66)
On failure modes in molecule generation and optimization. (2019) (61)
panelcn.MOPS: Copy‐number detection in targeted NGS panel data for clinical diagnostics (2017) (59)
Modern Hopfield Networks and Attention for Immune Repertoire Classification (2020) (57)
Recurrent Neural Net Learning and Vanishing (1998) (56)
Explaining and Interpreting LSTMs (2019) (51)
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks (2019) (49)
Meta-learning with backpropagation (2001) (48)
Complex Networks Govern Coiled-Coil Oligomerization – Predicting and Profiling by Means of a Machine Learning Approach* (2011) (47)
Furby: fuzzy force-directed bicluster visualization (2014) (47)
NeuralHydrology - Interpreting LSTMs in Hydrology (2019) (46)
KeBABS: an R package for kernel-based analysis of biological sequences (2015) (46)
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling (2019) (43)
A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling (2020) (39)
Patch Refinement - Localized 3D Object Detection (2019) (39)
Guessing can Outperform Many Long Time Lag Algorithms (1996) (38)
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks (2020) (38)
In silico proof of principle of machine learning-based antibody design at unconstrained scale (2021) (38)
DEXUS: identifying differential expression in RNA-Seq studies with unknown conditions (2013) (33)
Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation (2019) (31)
Industry-scale application and evaluation of deep learning for drug target prediction (2020) (31)
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires (2021) (31)
Applied Biclustering Methods for Big and High-Dimensional Data Using R (2016) (29)
An SMO Algorithm for the Potential Support Vector Machine (2008) (29)
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP (2021) (28)
Cross-Domain Few-Shot Learning by Representation Fusion (2020) (28)
Machine Learning in Drug Discovery (2018) (28)
Filtering data from high-throughput experiments based on measurement reliability (2010) (27)
Machine Learning in Drug Discovery. (2018) (27)
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019 (2020) (27)
HapFABIA: Identification of very short segments of identity by descent characterized by rare variants in large sequencing data (2013) (26)
Nonlinear Feature Selection with the Potential Support Vector Machine (2006) (25)
cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate (2011) (24)
Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems (2002) (24)
Lococode Performs Nonlinear ICA Without Knowing The Number Of Sources (1999) (23)
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling (2020) (22)
Do internals of neural networks make sense in the context of hydrology (2018) (20)
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution (2020) (20)
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks (2022) (19)
One billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction (2021) (19)
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes (2020) (19)
The Promise of AI for DILI Prediction (2021) (18)
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map (2015) (18)
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER (2020) (18)
Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach (2010) (17)
Rectified Factor Networks (2015) (17)
MC-LSTM: Mass-Conserving LSTM (2021) (16)
Machine learning–based prediction of transfusion (2020) (15)
Genome-Wide Chromatin Remodeling Identified at GC-Rich Long Nucleosome-Free Regions (2012) (15)
Unsupervised Coding with LOCOCODE (1997) (14)
Human-level Protein Localization with Convolutional Neural Networks (2018) (14)
Towards Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning (2019) (14)
Uncertainty estimation with deep learning for rainfall–runoff modeling (2022) (14)
A Discrete Probabilistic Memory Model for Discovering Dependencies in Time (2001) (13)
Classification, Regression, and Feature Selection on Matrix Data (2004) (13)
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation (2021) (13)
Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modelling (2020) (13)
Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns (2020) (11)
DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning (2020) (11)
Fréchet ChemblNet Distance: A metric for generative models for molecules (2018) (11)
Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers (2002) (10)
Hopular: Modern Hopfield Networks for Tabular Data (2022) (10)
Monaural Separation and Classification of Mixed Signals : a Support-vector Regression Perspective (2001) (10)
High-resolution multi-channel weather forecasting – First insights on transfer learning from the Weather4cast Competitions 2021 (2021) (9)
On Failure Modes of Molecule Generators and Optimizers (2020) (9)
Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning (2021) (9)
Boundary Graph Neural Networks for 3D Simulations (2021) (9)
An electric field approach to independent component analysis (2000) (9)
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes (2022) (9)
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction (2021) (7)
Quantum Optical Experiments Modeled by Long Short-Term Memory (2019) (7)
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests (2022) (7)
History Compression via Language Models in Reinforcement Learning (2022) (7)
Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations (2009) (7)
IBD Sharing between Africans, Neandertals, and Denisovans (2016) (7)
LOCOCODE versus PCA and ICA (1998) (7)
Source Separation as a By-Product of Regularization (1998) (7)
Gene Selection for Microarray Data (2004) (6)
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction (2021) (6)
A glimpse into the Unobserved: Runoff simulation for ungauged catchments with LSTMs (2018) (6)
First Order Generative Adversarial Networks (2018) (6)
Sharing of Very Short IBD Segments between Humans, Neandertals, and Denisovans (2014) (6)
Optimal kernels for unsupervised learning (2005) (6)
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction (2022) (6)
Rectified factor networks for biclustering of omics data (2017) (5)
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for real-world antibody specificity prediction (2022) (5)
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications (2021) (5)
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks (2022) (5)
XAI and Strategy Extraction via Reward Redistribution (2020) (5)
Coulomb Classifiers: Reinterpreting SVMs as Electrostatic Systems ; CU-CS-921-01 (2001) (5)
Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models (2000) (5)
Towards Improved Predictions in Ungauged Basins: (2019) (5)
EXPONENTIAL LINEAR UNITS (ELUS) (2016) (4)
A GAN based solver of black-box inverse problems (2019) (4)
Toward a broad AI (2022) (4)
Optimal gradient-based learning using importance weights (2005) (4)
Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain Shifts (2021) (4)
Nonlinear ICA through low-complexity autoencoders (1999) (4)
Repurposed high-throughput images enable biological activity prediction for drug discovery (2017) (4)
Exploiting the Japanese Toxicogenomics Project for Predictive Modelling of Drug Toxicity (2012) (3)
Low-Complexity Coding and Decoding (1997) (3)
Increasing the discovery power of -omics studies (2013) (3)
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images (2019) (3)
C ONTRASTIVE LEARNING OF IMAGE - AND STRUCTURE BASED REPRESENTATIONS IN DRUG DISCOVERY (2022) (3)
Entangled Residual Mappings (2022) (3)
Coulomb Classi ers: Reinterpreting SVMs as Electrostatic Systems (3)
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning (2020) (3)
Deep Reinforcement Learning for Optimization at Early Design Stages (2023) (2)
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures (2023) (2)
Two Time-Scale Update Rule for Generative Adversarial Nets (2017) (2)
Sequence analysis msa : an R package for multiple sequence alignment (2015) (2)
Sequence Classification For Protein Analysis (2013) (2)
Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities (2022) (2)
The Plaid Model (2016) (2)
Models and Predictions for "Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network" (2020) (2)
Optimality of LSTD and its Relation to MC (2007) (2)
δ-Clustering of Monotone Profiles (2012) (2)
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning (2022) (2)
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data (2006) (2)
Bioinformatics Research and Development, First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings (2007) (2)
Identifying Copy Number Variations based on Next Generation Sequencing Data by a Mixture of Poisson Model (2010) (1)
A Machine Learner’s Guide to Streamflow Prediction (2020) (1)
Classification, Regression, and Feature Selection (2004) (1)
Using LSTMs for climate change assessment studies on droughts and floods (2019) (1)
End-to-end learning of pharmacological assays from high-resolution microscopy images (2018) (1)
A note on leveraging synergy in multiple meteorological datasets with deep learning for regional rainfall-runoff modeling (2020) (1)
Understanding Very Deep Networks via Volume Conservation (2016) (1)
Sphered Support Vector Machine (2012) (1)
Sequence classificatio n for protein analysis (2005) (1)
Associating complex traits with rare variants identified by NGS: improving power by a position-dependent kernel approach (2012) (1)
Similarity-based learning on structures (2009) (1)
cn.FARMS: a probabilistic model to detect DNA copy numbers (2010) (1)
Few-Shot Learning by Dimensionality Reduction in Gradient Space (2022) (1)
09081 Summary - Similarity-based learning on structures (2009) (1)
Detection of Nonlinear Effects in Gene Expression Pathways (2010) (1)
Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods (2007) (1)
Prediction in Ungauged Basins with Long Short-Term 1 Memory Networks (2019) (1)
Furby: fuzzy force-directed bicluster visualization (2014) (1)
Learning 3D Granular Flow Simulations (2021) (1)
Reviews of Books and Teaching Materials (2018) (0)
Delta-clustering of Monotone Profiles (2012) (0)
Characterising activation functions by their backward dynamics around forward fixed points (2020) (0)
Conformal Prediction for Time Series with Modern Hopfield Networks (2023) (0)
Position Kernels as a Key to Making Sense of Very Rare and Private Single-Nucleotide Variants (2021) (0)
Copy Number Aberrations Affecting the Developing Cerebellar Vermis are Associated with Autism Spectrum Disorders (2011) (0)
Low-Complexity Coding and DecodingSepp (2013) (0)
Software Documentation of the Potential Support Vector Machine (2006) (0)
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation (2023) (0)
Learning Quadratic Forms by Density Estimation and its Applications to Image Coding (2003) (0)
A Dataset Perspective on Offline Reinforcement Learning (2021) (0)
A normalization technique for next generation sequencing experiments (2010) (0)
R EACTIVE E XPLORATION TO C OPE WITH N ON -S TATIONARITY IN L IFELONG R EINFORCEMENT L EARNING (2022) (0)
Classification and Feature Selection on Matrix Data with Application to Gene-Expression Analysis (2007) (0)
Rectified Factor Networks for Biclustering (2017) (0)
The performance of LSTM models from basin to continental scales (2020) (0)
In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance (2022) (0)
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget (2023) (0)
Learning from mistakes: Online updating for deep learning models. (2020) (0)
Unsupervised coding with LococodeIn (2013) (0)
A Two Time-Scale Update Rule Ensuring Convergence of Episodic Reinforcement Learning Algorithms at the Example of RUDDER (0)
The Landslide4Sense Competition 2022 (2022) (0)
MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS : AN SVM PERSPECTIVE (2007) (0)
EVALUATING LONG-TERM DEPENDENCYBENCHMARK PROBLEMS BY RANDOM GUESSINGJ (2001) (0)
Large-scale river network modeling using Graph Neural Networks (2021) (0)
Proceedings of the 1st international conference on Bioinformatics research and development (2007) (0)
Proof of Theorem 2 in the IJCNN submission (2013) (0)
G-Signatures: Global Graph Propagation With Randomized Signatures (2023) (0)
Modern Hopfield Networks (2021) (0)
Unsupervised Learning with Optimal Kernels (2013) (0)
Multi-Timescale LSTM for Rainfall–Runoff Forecasting (2021) (0)
Uncertainty estimation with LSTM based rainfall-runoff models (2021) (0)
Machine Learning–Based Mortality Prediction of Patients at Risk During Hospital Admission (2022) (0)
VERY DEEP NETWORKS VIA VOLUME CONSERVATION (2016) (0)
Identification of Short and Rare Haplotype Clusters in Korean Genomes (2012) (0)
09081 Abstracts Collection - Similarity-based learning on structures (2009) (0)
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors (2023) (0)
Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212) (2013) (0)
Identifying IBD tracts that are tagged by rare variants (2012) (0)
Feature extraction through LOCOCODENeural Computation (2013) (0)
Chapter 19 Nonlinear Feature Selection with the Potential Support Vector Machine (0)
Report from Dagstuhl Seminar 13212 Computational Methods Aiding Early-Stage Drug Design (2013) (0)
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen (2019) (0)
Posterior Sampling: Make Reinforcement Learning Sample Efficient Again (2019) (0)
FARMS: a probabilistic latent variable model for summarizing Affymetrix array data at probe level (2007) (0)
Marginal Independence of INI Filtering and Test Statistics (2010) (0)
Potential Support Vector Machines for Dyadic Data (2013) (0)
Large-Scale Rainfall-Runoff Modeling using the Long Short-Term Memory Network (2019) (0)
Rectified Factor Networks and Dropout (2014) (0)
PrOCoil - Advances in predicting two- and three-stranded coiled coils (2010) (0)
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language (2023) (0)
Towards deep learning based flood forecasting for ungauged basins (2020) (0)
L EARNING 3D G RANULAR F LOW S IMULATIONS (2021) (0)
Decoding Sequence Classification Models for Acquiring New Biological Insights (2010) (0)
Toward Semantic History Compression for Reinforcement Learning (2022) (0)
Gene Selection on Micro Array Data through Support Vector Machines (2013) (0)

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