Mueller, Jonas

21 publications

NeurIPS 2025 Stratify or Die: Rethinking Data Splits in Image Segmentation Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Bjoern Eskofier, Heike Leutheuser

DMLR 2024 Detecting Errors in a Numerical Response via Any Regression Model Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei

TMLR 2024 Graph Neural Networks Formed via Layer-Wise Ensembles of Heterogeneous Base Models Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf

NeurIPS 2024 SAND: Smooth Imputation of Sparse and Noisy Functional Data with Transformer Networks Ju-Sheng Hong, Junwen Yao, Jonas Mueller, Jane-Ling Wang

ICLR 2024 Time-Varying Propensity Score to Bridge the Gap Between the past and Present Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola

ICLRW 2023 ActiveLab: Active Learning with Re-Labeling by Multiple Annotators Hui Wen Goh, Jonas Mueller

JMLR 2023 Flexible Model Aggregation for Quantile Regression Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani

ICLRW 2023 Identifying Incorrect Annotations in Multi-Label Classification Data Aditya Thyagarajan, Elias Snorrason, Curtis G Northcutt, Jonas Mueller

CoLLAs 2023 Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

ICLRW 2023 Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor

ICMLW 2022 Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alex Smola

ICLR 2022 Does Your Graph Need a Confidence Boost? Convergent Boosted Smoothing on Graphs with Tabular Node Features Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

CVPRW 2022 ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

ICML 2021 Deep Learning for Functional Data Analysis with Adaptive Basis Layers Junwen Yao, Jonas Mueller, Jane-Ling Wang

ICMLW 2021 Multimodal AutoML on Structured Tables with Text Fields Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola

ICML 2020 Educating Text Autoencoders: Latent Representation Guidance via Denoising Tianxiao Shen, Jonas Mueller, Dr.Regina Barzilay, Tommi Jaakkola

AAAI 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford

AISTATS 2019 What Made You Do This? Understanding Black-Box Decisions with Sufficient Input Subsets Brandon Carter, Jonas Mueller, Siddhartha Jain, David Gifford

AISTATS 2017 Learning Optimal Interventions Jonas Mueller, David Reshef, George Du, Tommi S. Jaakkola

ICML 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures Jonas Mueller, David Gifford, Tommi Jaakkola

AAAI 2016 Siamese Recurrent Architectures for Learning Sentence Similarity Jonas Mueller, Aditya Thyagarajan