Joachim M. Buhmann

87 publications

15 venues

h-Index 39

Google's h-Index 76

Affiliation

ETH Zurich, Switzerland
University of Bonn, Germany

Links

Additional Information

Achievements
2020 - Fellow of the International Association for Pattern Recognition (IAPR)For contributions to pattern recognition and statistical machine learning theory
Google Citations
20973
Name Venue Year citations
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. NIPS/NeurIPS 2023 0
Explore In-Context Learning for 3D Point Cloud Understanding. NIPS/NeurIPS 2023 0
Learning Long-Term Crop Management Strategies with CyclesGym. NIPS/NeurIPS 2022 0
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. AISTATS 2022 0
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. NIPS/NeurIPS 2022 0
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR 2021 9
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. ICML 2020 4
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI 2020 0
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference. ICML 2019 19
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS 2019 0
Scalable Variational Inference for Dynamical Systems. NIPS/NeurIPS 2017 40
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms. NIPS/NeurIPS 2017 15
Efficient and Flexible Inference for Stochastic Systems. NIPS/NeurIPS 2017 6
Guarantees for Greedy Maximization of Non-submodular Functions with Applications. ICML 2017 198
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. AISTATS 2017 0
Scalable Adaptive Stochastic Optimization Using Random Projections. NIPS/NeurIPS 2016 19
TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks. CVPR 2016 212
Transformation-Invariant Convolutional Jungles. CVPR 2015 21
Asymptotic analysis of estimators on multi-label data. MLJ 2015 1
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks. AAAI 2015 0
Fast and Robust Least Squares Estimation in Corrupted Linear Models. NIPS/NeurIPS 2014 43
Correlated random features for fast semi-supervised learning. NIPS/NeurIPS 2013 45
Ellipsoidal Multiple Instance Learning. ICML 2013 20
Weakly supervised structured output learning for semantic segmentation. CVPR 2012 174
Bayesian mixed-effects inference on classification performance in hierarchical data sets. JMLR 2012 26
Active learning for semantic segmentation with expected change. CVPR 2012 126
Information Theoretic Model Validation for Spectral Clustering. AISTATS 2012 29
Multi-Assignment Clustering for Boolean Data. JMLR 2012 0
The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD 2011 18
Weakly supervised semantic segmentation with a multi-image model. ICCV 2011 175
Learning the Compositional Nature of Visual Object Categories for Recognition. TPAMI 2010 83
Entropy and Margin Maximization for Structured Output Learning. ECML/PKDD 2010 42
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. CVPR 2010 159
Neuron geometry extraction by perceptual grouping in ssTEM images. CVPR 2010 108
Multi-assignment clustering for Boolean data. ICML 2009 140
Structure Identification by Optimized Interventions. AISTATS 2009 10
Spanning Tree Approximations for Conditional Random Fields. AISTATS 2009 21
Optimized expected information gain for nonlinear dynamical systems. ICML 2009 22
Classification of Multi-labeled Data: A Generative Approach. ECML/PKDD 2008 33
Probabilistic image registration and anomaly detection by nonlinear warping. CVPR 2008 15
On Relevant Dimensions in Kernel Feature Spaces. JMLR 2008 131
Expectation-maximization for sparse and non-negative PCA. ICML 2008 118
Cluster analysis of heterogeneous rank data. ICML 2007 114
Kernel-Based Grouping of Histogram Data. ECML/PKDD 2007 0
Robust Image Segmentation Using Resampling and Shape Constraints. TPAMI 2007 26
Learning the Compositional Nature of Visual Objects. CVPR 2007 60
PerformancePrediction Challenge. IJCNN 2006 17
Model Order Selection and Cue Combination for Image Segmentation. CVPR 2006 56
Smooth Image Segmentation by Nonparametric Bayesian Inference. ECCV 2006 36
Learning Compositional Categorization Models. ECCV 2006 47
Denoising and Dimension Reduction in Feature Space. NIPS/NeurIPS 2006 16
Learning with Constrained and Unlabelled Data. CVPR 2005 100
Combining partitions by probabilistic label aggregation. KDD 2005 32
Fusion of Similarity Data in Clustering. NIPS/NeurIPS 2005 41
A Hidden Markov Model for de Novo Peptide Sequencing. NIPS/NeurIPS 2004 178
Shape Constrained Image Segmentation by Parametric Distributional Clustering. CVPR 2004 4
Bagging for Path-Based Clustering. TPAMI 2003 222
Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation. TPAMI 2003 231
Clustering with the Connectivity Kernel. NIPS/NeurIPS 2003 91
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. TPAMI 2003 212
Going Metric: Denoising Pairwise Data. NIPS/NeurIPS 2002 75
Stability-Based Model Selection. NIPS/NeurIPS 2002 111
Parametric Distributional Clustering for Image Segmentation. ECCV 2002 37
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. ICANN 2002 18
Coupled Clustering: A Method for Detecting Structural Correspondence. JMLR 2002 0
Coupled Clustering: a Method for Detecting Structural Correspondence. ICML 2001 39
Contextual Classification by Entropy-Based Polygonization. CVPR 2001 5
Topology Free Hidden Markov Models: Application to Background Modeling. ICCV 2001 244
The Noisy Euclidean Traveling Salesman Problem and Learning. NIPS/NeurIPS 2001 12
Empirical Evaluation of Dissimilarity Measures for Color and Texture. ICCV 1999 744
Histogram Clustering for Unsupervised Image Segmentation. CVPR 1999 94
Model Selection in Clustering by Uniform Convergence Bounds. NIPS/NeurIPS 1999 8
Visualizing Group Structure. NIPS/NeurIPS 1998 1
Unsupervised Texture Segmentation in a Deterministic Annealing Framework. TPAMI 1998 246
On Spatial Quantization of Color Images. ECCV 1998 79
Multiscale Annealing for Real-Time Unsupervised Texture Segmentation. ICCV 1998 0
Pairwise Data Clustering by Deterministic Annealing. TPAMI 1997 541
Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. CVPR 1997 304
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis. NIPS/NeurIPS 1997 8
Correction to "Pairwise Data Clustering by Deterministic Annealing". TPAMI 1997 7
Active Data Clustering. NIPS/NeurIPS 1997 70
Inferring Hierarchical Clustering Structures by Deterministic Annealing. KDD 1996 8
An Annealed "Neural Gas" Network for Robust Vector Quantization. ICANN 1996 10
Multidimensional Scaling and Data Clustering. NIPS/NeurIPS 1994 49
Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina. NIPS/NeurIPS 1993 22
Central and Pairwise Data Clustering by Competitive Neural Networks. NIPS/NeurIPS 1993 10
Size and distortion invariant object recognition by hierarchical graph matching. IJCNN 1990 100
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