Non-parametric Inference

Latest research

1. A Distributionally Robust Framework for Nuisance in Causal Effect Estimation

   • Akira Tanimoto

   in Neural Information Processing

   Conference paper 2026

   

2. Uncertainty-Aware Policy Search via Free Energy Optimization

   • Tikara Hosino

   in Neural Information Processing

   Conference paper 2026

   

3. Probabilistic-Fuzzy Inference with Piecewise Linear Quantile Regression

   • Nhung Cao
   • Michal Holčapek
   • Nicolás Madrid

   in Modeling Decisions for Artificial Intelligence

   Conference paper 2026

   

4. Distorted Distributional Policy Evaluation for Offline Reinforcement Learning

   • Ryo Iwaki
   • Takayuki Osogami

   in Neural Information Processing

   Conference paper 2026

   

5. Alternative Statistical Inference for the First Normalized Incomplete Moment

   • Jiannan Lu
   • Peng Ding
   • Anqi Zhao

   in Advanced Data Mining and Applications

   Conference paper 2026

   

6. Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment

   • Yuan Li
   • Zitang Sun
   • Shin’ya Nishida

   in Neural Information Processing

   Conference paper 2026

   

7. Amortizing Personalization in Virtual Brain Twins

   • Nina Baldy
   • Marmaduke M. Woodman
   • Viktor K. Jirsa

   in Artificial Neural Networks and Machine Learning – ICANN 2025

   Conference paper 2026

   

8. Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models

   • Yushuo Chen
   • Tianyi Tang
   • Ji-Rong Wen

   in Chinese Computational Linguistics

   Conference paper 2026

   

9. No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling

   • Young Seok Jeon
   • Hongfei Yang
   • Mengling Feng

   in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

   Conference paper 2026

   

10. Adaptive Model Selection for Expanded Post Hoc Debiasing and Mitigating Varying Degrees of Spurious Correlations

    • Jan Blunk
    • Paul Bodesheim
    • Joachim Denzler

    in Computer Analysis of Images and Patterns

    Conference paper 2026

    

11. Denoising the Future: Top-p Distributions for Moving Through Time

    • Florian Andreas Marwitz
    • Ralf Möller
    • Marcel Gehrke

    in Symbolic and Quantitative Approaches to Reasoning with Uncertainty

    Conference paper 2026

    

12. Inverse Marginalisation for Safely Expanding Bayesian Networks

    • Johan Kwisthout
    • Silja Renooij

    in Symbolic and Quantitative Approaches to Reasoning with Uncertainty

    Conference paper 2026

    

13. Privacy Preserving Chest X-Ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

    • Jonghun Kim
    • Gyeongdeok Jo
    • Hyunjin Park

    in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

    Conference paper 2026

    

14. Accurate and Efficient Fetal Birth Weight Estimation from 3D Ultrasound

    • Jian Wang
    • Qiongying Ni
    • Xin Yang

    in Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

    Conference paper 2026

    

15. PLRF-NMS: A Piecewise Linear Rational Function in Non-Maximum Suppression

    • Ivar Persson
    • Håkan Ardö
    • Mikael Nilsson

    in Computer Analysis of Images and Patterns

    Conference paper 2026

    

16. BCONDS: Borderline Counterfactual Oversampling with Noise Elimination and Density Scoring

    • Asifa Mehmood Qureshi
    • Abhishek Kaushik
    • Fergal McCaffery

    in Artificial Intelligence in Healthcare

    Conference paper 2026

    

17. Identity Inference in Ethereum: Towards Financial Security for Blockchain Ecosystem

    • Kai Li
    • Yanyu Chen
    • Zhangjie Fu

    in Security and Privacy in Communication Networks

    Conference paper 2026

    

18. Confidence Bands for Multiparameter Persistence Landscapes

    • Inés García-Redondo
    • Anthea Monod
    • Qiquan Wang

    in Geometric Science of Information

    Conference paper 2026

    

19. Tree Inference with Varifold Distances

    • Elodie Maignant
    • Tim Conrad
    • Christoph von Tycowicz

    in Geometric Science of Information

    Conference paper 2026

    

20. Improving Out-of-Distribution Detection via Test-Time Augmentation

    • Imanol Allende
    • Nicholas Mc Guire
    • Carles Hernández

    in Computer Safety, Reliability, and Security

    Conference paper 2026

    

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