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Stefan Bauer

  1. Toward Causal Representation Learning
    2021/02/26 by Bernhard Schölkopf, Bernhard Scholkopf, Francesco Locatello +5 · 159 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #AI-based Problem Solving and Planning
  2. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
    2014/12/04 by Bjoern Menze, Bjoern H. Menze, Andras Jakab +85 · 198 citations
    Computer Science · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Medical Image Segmentation Techniques
  3. Towards Causal Representation Learning
    2021/02/22 by Bernhard Schölkopf, Francesco Locatello, Schölkopf, Bernhard +11 · 2 voices · 11 citations
    Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
  4. A stable cohomotopy refinement of Seiberg-Witten invariants: I
    2002/04/29 by Stefan Bauer, Mikio Furuta, Bauer, Stefan +1 · 4 citations
    Mathematics · #55P42 #57R57 #Advanced Algebra and Geometry #Advanced Operator Algebra Research #Algebraic Topology (math.AT) #Differential Geometry (math.DG) #FOS: Mathematics #Homotopy and Cohomology in Algebraic Topology #math.AT #math.DG #msc:55P42 #msc:57R57
  5. A stable cohomotopy refinement of Seiberg-Witten invariants: II
    2002/04/22 by Stefan Bauer, Bauer, Stefan · 4 citations
    Mathematics · #55P42 #57R57 #Algebraic Topology (math.AT) #Differential Geometry (math.DG) #FOS: Mathematics #math.AT #math.DG #msc:55P42 #msc:57R57
  6. Robustly Disentangled Causal Mechanisms: Validating Deep Representations\n for Interventional Robustness
    2018/10/31 by Raphael Suter, Suter, Raphael, Đorđe Miladinović +5 · 8 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  7. TriFinger: An Open-Source Robot for Learning Dexterity
    2020/08/08 by Manuel Wüthrich, Felix Widmaier, Wüthrich, Manuel +27 · 3 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  8. On Disentangled Representations Learned From Correlated Data
    2020/06/14 by Frederik Träuble, Elliot Creager, Träuble, Frederik +13 · 2 citations
    Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
  9. Function Contrastive Learning of Transferable Meta-Representations
    2020/10/14 by Muhammad Waleed Gondal, Gondal, Muhammad Waleed, Shruti Joshi +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  10. NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
    2021/03/20 by Sonali Parbhoo, Stefan Bauer, Parbhoo, Sonali +3 · 2 citations
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Methodology (stat.ME)
  11. Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
    2021/06/14 by Yashas Annadani, Annadani, Yashas, Jonas Rothfuss +11 · 3 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
  12. Learning Neural Causal Models with Active Interventions
    2021/09/06 by Nino Scherrer, Scherrer, Nino, Olexa Bilaniuk +17 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  13. Refined Seiberg-Witten invariants
    2003/12/31 by Stefan Bauer, Bauer, Stefan · 1 citation
    Mathematics · #55Qxx #57R57 #Advanced Combinatorial Mathematics #FOS: Mathematics #Geometric Topology (math.GT) #Geometric and Algebraic Topology #Homotopy and Cohomology in Algebraic Topology #math.GT #msc:55Qxx #msc:57R57
  14. Almost complex 4-manifolds with vanishing first Chern class
    2006/07/27 by Stefan Bauer, Bauer, Stefan · 1 citation
    Mathematics · #FOS: Mathematics #Geometric Analysis and Curvature Flows #Geometric Topology (math.GT) #Geometric and Algebraic Topology #Geometry and complex manifolds
  15. On the Transfer of Disentangled Representations in Realistic Settings
    2020/10/27 by Andrea Dittadi, Dittadi, Andrea, Frederik Träuble +13 · 2 citations
    Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Generative Adversarial Networks and Image Synthesis
  16. Preference-Guided Diffusion for Multi-Objective Offline Optimization
    2025/03/21 by Yashas Annadani, Annadani, Yashas, Syrine Belakaria +7 · 4 citations
    Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Topology Optimization in Engineering #Metaheuristic Optimization Algorithms Research
  17. Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
    2024/07/22 by Amir Mohammad Karimi Mamaghan, Samuele Papa, Mamaghan, Amir Mohammad Karimi +7 · 2 citations
    Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection #Visual and Cognitive Learning Processes
  18. A scalable gene network model of regulatory dynamics in single cells
    2025/03/25 by Paul A. Bertin, Bertin, Paul, Joseph D. Viviano +10 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Molecular Networks (q-bio.MN)