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Sparsely Supervised Diffusion

Advances in Neural Information Processing Systems 2026

Wenshuai Zhao, Zhiyuan Li, Yi Zhao, Mohammad Hassan Vali, Martin Trapp, Joni Pajarinen, Juha Kannala, Arno Solin

Sparsely Supervised Diffusion

Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models

Advances in Neural Information Processing Systems 2026

Zhiyuan Li, Wenyan Yang, Pekka Marttinen, Joni Pajarinen

Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models

Tempoal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

Advances in Neural Information Processing Systems 2026

Mohammadreza Nakhaei, Aidan Scannell, Kevin Sebastian Luck, Joni Pajarinen

Tempoal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection

IEEE/RSJ International Conference on Intelligent Robots and Systems 2026

Hadrien Crassous, Mohamed Yassine Kabouri, Minahil Raza, Joni Pajarinen, Riad Akrour

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection

Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence

International Conference on Machine Learning 2026

Zhiyuan Li, Rongzhen Zhao, Wenyan Yang, Wenshuai Zhao, Pekka Marttinen, Joni Pajarinen

Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence

Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data

International Conference on Learning Representations 2026

Yi Zhao, Aidan Scannell, Wenshuai Zhao, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Buchler, Arno Solin, Juh Kannala, Joni Pajarinen

Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data

Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning

International Conference on Machine Learning 2026

Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen

Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning

Object-Centric Vision Token Pruning for Vision Language Models

IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026

Guangyuan Li, Rongzhen Zhao, Jinhong Deng, Yanbo Wang, Joni Pajarinen

Object-Centric Vision Token Pruning for Vision Language Models

Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization

International Conference on Learning Representations 2026

Jatan Shrestha, Santeri Heiskanen, Kari Hepola, Severi Rissanen, Pekka Jääskeläinen, Joni Pajarinen

Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization

Smoothing Slot Attention Iterations and Recurrences

International Conference on Machine Learning 2026

Rongzhen Zhao, Wenyan Yang, Juho Kannala, Joni Pajarinen

Smoothing Slot Attention Iterations and Recurrences