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Showing papers from The University of Tokyo Show all papers

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NeurIPS 2026U TokyoPekingNational Institute of InformaticThe University of Tokyo3D vision & reconstruction

Event based Multi-Velocity-Scale Imaging

Qiyao Gao, Peiqi Duan, Chu Zhou, Xinyu Zhou and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightThe University of TokyoHarvardLLM reasoning & chain of thought

A Solvable Model of Chain-of-Thought in In-Context Learning

Kaito Takanami, Cengiz Pehlevan

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of TokyoThe University of Tokyo/RIKEN-AIBayesian & probabilistic methods

Parallel Computation Algorithms and Convergence Guarantees for Mean-Field Langevin Dynamics

Yoshihito Okamoto, Huanjian Zhou, Taiji Suzuki

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of TokyoSamsungMolecules & drug discovery

Rotation-Invariant Vector Normalization for Molecular Force Learning

Bum Jun Kim, Hyeyun Jeong

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of TokyoBandits & online learning

Near-Optimal Best-of-Both-Worlds Algorithms for Decoupled Exploration and Exploitation in Multi-armed Bandits

Hibiki Sekiya, Shinji Ito

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026OralThe University of TokyoThe University of Tokyo & RIWaseda University, JapanWasedaRIKENAgent benchmarks & environments

Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations

Junjue Wang, Weihao Xuan, Heli Qi, Pengyu Dai and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026The University of TokyoNational Institute of InformaticThe University of Tokyo, Tokyo I3D vision & reconstruction

Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors

Linrui Dai, Jinxiu Liang, Chu Zhou, Mae Yamaguchi and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
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NeurIPS 2026The university of TokyoThe University of TokyoOptimization

Curvature-Dependent Lower Bounds for Riemannian Online Convex Optimization

Hibiki Fukushima, Shinji Ito

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Wuhan University & Shanghai WeChat AIAlaya LabNanyang TechnologicalThe University of TokyoDatasets & benchmarks

GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling

Kang He, Wenshuo Peng, Chuanhao Li, Zihui Gao and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Shenzhen Institutes of Advanced The University of TokyoBen-Gurion University of the NegShenzhen Institutes of Advanced 3D vision & reconstruction

Visual-to-Executable Procedural Reconstruction of Buildings.

Zichong Zhu, Zhihao Liu, Andrei Sharf, Zhanglin Cheng

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Birmingham & Southern UnivSouthern University of Science aU MacauCity University of Hong KongThe University of TokyoInstruction tuning

Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models

Ziwei Wang, Xinwei Guo, Jiaxin Zhang, Guanhua Chen and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 3 of 20 reviewers recommend it
lenient 1/5
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strict 1/5
57%Worth a look
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NeurIPS 2026Hong Kong PolytechnicThe Hong Kong PolytechnicThe University of TokyoUNSW SydneyDeep RL

Discovering Programmatic Policies from Reinforcement Learning-Based Traffic Signal Controllers

Lindong Xie, Yang Zhang, Beiyu Song, XING Zeren and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of TokyoRIKEN / University of TokyoDiffusion models

Asymptotically Exact Negative Guidance of Diffusion Models via Positive-Unlabeled Learning

Hirohane Takagi, Masashi Sugiyama

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026the University of TokyoThe University of TokyoLearning theory

Tight Gap-Dependent Regret Bounds and Problem-Independent Bounds for Cost-aware Cascading Bandits

Yuji TAMAKOSHI, Shinji Ito

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightThe University of Hong KongThe University of TokyoU Hong KongU British ColumbiaLLM agents & planning

RAOP: Step-Level Resource Orchestration for LLM Agents across Edge and Cloud

Jinze Li, Xin Yang, Shuo Yang, Jinfeng Xu and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of TokyoHefei University of TechnologyRakuten GroupThe University of Tokyo / RIKENObject detection

RAWild: Toward Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modeling

Shuhong Liu, Gengjia Chang, Jun Liu, Xuangeng Chu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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88%Must read
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NeurIPS 2026The University of TokyoPhysics-informed ML & PDEs

Exactness Matters for Physical Rule Enforcement

Exact physical projection improves autoregressive forecasts when operators match target geometry, but approximate enforcement can increase rollout error and should be benchmarked by alignment.

Bum Jun Kim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 3/5
88%Must read
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NeurIPS 2026The University of TokyoTsinghua University, TsinghuaTsinghuaAlignment & preference optimization

Alignment Dynamics in LLM Fine-Tuning

A unified framework decomposes LLM alignment dynamics into competing rebound and driving forces, explaining reversal and faster re-alignment via rehearsal priming.

Yuhan Huang, Huanran Chen, Yinpeng Dong

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
71%Highly rated
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NeurIPS 2026The University of TokyoSorbonne Université - Faculté deSorbonne Université, CNRS, LIP6Optimization

Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling

A learning-augmented algorithm for unrelated-machine makespan scheduling uses heavy-job predictions to achieve (1+ε)-approximation that smoothly degrades to 2-approximation as error grows.

Kaito Baba, Evripidis Bampis, Georgios Mitropoulos

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 1/10
strict 2/5
78%Highly rated
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NeurIPS 2026Institute of Science TokyoHokkaidoSouthwest JiaotongRIKENThe University of Tokyo, RIKEN AMedical imaging

RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis

RAM-H1200 introduces 1,200 annotated hand radiographs supporting unified bone segmentation, pixel-level erosion masks, and joint-level SvdH scoring, showing bone segmentation is mature but quantitative erosion analysis remains a major open challenge.

YANG SONGXIAO, Haolin Wang, Yao Fu, Junmu Peng and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
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