Martin Trapp

1. Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic\n Circuits
   2020/04/13 by Robert Peharz, Peharz, Robert, Steven Lang +15 · 9 citations
   Computer Science · #Advanced Neural Network Applications #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
2. Subtractive Mixture Models via Squaring: Representation and Learning
   2023/10/01 by Lorenzo Loconte, Loconte, Lorenzo, Aleksanteri Sladek +12 · 2 voices · 7 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Bayesian Methods and Mixture Models
3. Fixing Overconfidence in Dynamic Neural Networks
   2023/02/13 by Lassi Meronen, Martin Trapp, Meronen, Lassi +7 · 1 voice · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #cs.LG
4. Post-hoc Probabilistic Vision-Language Models
   2024/12/08 by Anton Baumann, Baumann, Anton, Rui Li +13 · 2 voices · 4 citations
   Computer Science · #Multimodal Machine Learning Applications #Semantic Web and Ontologies #Advanced Image and Video Retrieval Techniques
5. Characteristic Circuits
   2023/12/12 by Zhongjie Yu, Martin Trapp, Yu, Zhongjie +3 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
6. DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
   2020/02/07 by Mohamed Tarek, Kai Xu, Tarek, Mohamed +7 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #Data Management and Algorithms #Advanced Database Systems and Queries
7. Disentangling Model Multiplicity in Deep Learning
   2022/06/17 by Ari Heljakka, Heljakka, Ari, Martin Trapp +5 · 1 citation
   Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications #Statistical Mechanics and Entropy
8. Transport with Support: Data-Conditional Diffusion Bridges
   2023/01/31 by Ella Tamir, Martin Trapp, Tamir, Ella +3 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks
9. Bayesian Learning of Sum-Product Networks
   2019/05/26 by Martin Trapp, Trapp, Martin, Robert Peharz +7 · 1 citation
   Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Streamlining Prediction in Bayesian Deep Learning
    2024/11/27 by Rui Li, Li, Rui, Marcus Klasson +5 · 3 voices
    Computer Science · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #Gaussian Processes and Bayesian Inference #cs.LG
11. Stochasticity in Tokenisation Improves Robustness
    2026/04/17 by Sophie Steger, Rui Li, Sofiane Ennadir +4 · 1 voice · 1 citation
    #cs.CL