Robert Jenssen

14 papers · 2006–2025 · 8 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🏆 Keyword Champion 🧭 Keyword Pioneer 🏆 Grand Slam 💎 Century Club · Bronze 🗃️ Keyword Collector (72) 🚀 Conference Pioneer 🔥 Unstoppable · Bronze

Venues

CVPR (3) AAAI (2) ICLR (2) ICML (2) NeurIPS (2) ECCV (1) MICCAI (1) UAI (1)

Top co-authors

Michael Kampffmeyer (5) Sigurd Løkse (4) Shujian Yu (4) Daniel J. Trosten (3) Michael C. Kampffmeyer (3) Kristoffer Knutsen Wickstrøm (2) Kristoffer Wickstrøm (2) Francesco Alesiani (2) Xi Yu (2) Stine Hansen (2)

Research topics

Machine Learning (10) Core Methods (9) Optimization & Theory (5) Artificial Intelligence (4) Deep Learning (4) Core AI (4) Learning Types · Machine Learning (4) Learning Types · Deep Learning (3) Mathematics & Optimization (2) Mathematics (2) Bayesian & Probabilistic (1) Models (1)

Keywords

representation learning (5) multi-view clustering (2) contrastive learning (2) information theory (2) variational autoencoder (2) multi-task learning (1) data transformation (1) metric learning (1) maximum entropy (1) feature importance (1) spectral clustering (1) variational inference (1) graph laplacian (1) information bottleneck (1) explainable ai (1) self-supervised learning (1) prototype learning (1) deep clustering (1) few-shot learning (1) adversarial robustness (1)

Papers

Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders ICML 2025 Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction MICCAI 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 Cauchy-Schwarz Divergence Information Bottleneck for Regression ICLR 2024 Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks ICML 2024 MAP IT to Visualize Representations ICLR 2024 Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023 On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering CVPR 2023 Principle of relevant information for graph sparsification UAI 2022 ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model NeurIPS 2022 Measuring Dependence with Matrix-based Entropy Functional AAAI 2021 Reconsidering Representation Alignment for Multi-View Clustering CVPR 2021 SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks ECCV 2020 Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NeurIPS 2006