Trapp, Martin

23 publications

UAI 2025 Approximate Bayesian Inference via Bitstring Representations Aleksanteri Sladek, Martin Trapp, Arno Solin

WACV 2025 Flatness Improves Backbone Generalisation in Few-Shot Classification Rui Li, Martin Trapp, Marcus Klasson, Arno Solin

ICLR 2025 Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

WACV 2024 Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin

UAI 2024 On Hardware-Efficient Inference in Probabilistic Circuits Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud

NeurIPSW 2024 Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp

NeurIPSW 2024 Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann, Marcus Klasson, Rui Li, Arno Solin, Martin Trapp

NeurIPSW 2024 Probabilistic Active Few-Shot Learning in Vision-Language Models Anton Baumann, Marcus Klasson, Rui Li, Arno Solin, Martin Trapp

ICLR 2024 Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte, Aleksanteri Mikulus Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari

NeurIPS 2023 Characteristic Circuits Zhongjie Yu, Martin Trapp, Kristian Kersting

NeurIPSW 2023 Data-Conditional Diffusion Bridges Ella Tamir, Martin Trapp, Arno Solin

ICCVW 2023 The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

TMLR 2023 Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir, Martin Trapp, Arno Solin

PGM 2022 A Hardware Perspective to Evaluating Probabilistic Circuits Jelin Leslin, Antti Hyttinen, Karthekeyan Periasamy, Lingyun Yao, Martin Trapp, Martin Andraud

ECCV 2022 Uncertainty-Guided Source-Free Domain Adaptation Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin

UAI 2021 Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting

NeurIPS 2021 Periodic Activation Functions Induce Stationarity Lassi Meronen, Martin Trapp, Arno Solin

AISTATS 2020 Deep Structured Mixtures of Gaussian Processes Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen

ICML 2020 Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van Den Broeck, Kristian Kersting, Zoubin Ghahramani

PGM 2020 Sum-Product-Transform Networks: Exploiting Symmetries Using Invertible Transformations Tomáš Pevný, Václav Smídl, Martin Trapp, Ondřej Poláček, Tomáš Oberhuber

NeurIPS 2019 Bayesian Learning of Sum-Product Networks Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani

UAI 2019 Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting, Zoubin Ghahramani

UAI 2017 Safe Semi-Supervised Learning of Sum-Product Networks Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl