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Showing papers from The University of Tokyo Show all papers

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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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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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AI panel: 1 of 20 reviewers recommend it
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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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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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
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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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AI panel: 0 of 20 reviewers recommend it
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69%Highly rated
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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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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
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67%Highly rated
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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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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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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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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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69%Highly rated
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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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57%Worth a look
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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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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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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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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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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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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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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 3/5
medium 9/10
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88%Must read
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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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lenient 5/5
medium 7/10
strict 3/5
71%Highly rated
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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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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
lenient 5/5
medium 5/10
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83%Must read
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TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning

TimeClaw learns reusable hierarchical experience from exploratory time-series executions via explore-compare-distill-reinject loops, improving reasoning without online adaptation.

Hangchen Liu, Dongyuan Li, Renhe Jiang, Jiewen Deng 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
71%Highly rated
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Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality

GANICE minimizes averaged Wasserstein risk for conditional interventional distributions using an extended distance and cellwise critic, achieving minimax optimality without density estimation.

Shu Tamano, Masaaki Imaizumi

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

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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 1/5
70%Highly rated
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Publishing Below-Threshold Triangle Counts under Local Weight Differential Privacy

A two-round local weight differential privacy algorithm counts below-threshold triangles in weighted graphs with public topology, providing biased and unbiased estimators plus covariance and sensitivity refinements.

Kevin Pfisterer, Quentin Hillebrand, Vorapong Suppakitpaisarn

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

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AI panel: 5 of 20 reviewers recommend it
lenient 2/5
medium 3/10
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78%Highly rated
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Locking Pretrained Weights via Deep Low-Rank Residual Distillation

DLR-Lock replaces MLP weights with deep low-rank residual networks to impose linear backprop memory growth and disrupt optimization, blocking adaptive fine-tuning while preserving model capabilities.

Keitaro Sakamoto, Pierre Ablin, Federico Danieli, Marco Cuturi

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

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lenient 4/5
medium 6/10
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89%Must read
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M$^3$: Reframing Training Measures for Discretized Physical Simulations

M³ balances training measures via multi-scale Morton partitioning to reduce measure-induced bias, cutting volumetric simulation errors up to 4.7× and outperforming high-resolution training under aggressive subsampling.

Yuan Mei, Xingyu Song, Xiaowen Song, Naoya Takeishi

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

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting

DiffPTS reformulates diffusion ELBO under a location-scale noise model to unify estimator training and diffusion via joint optimization, achieving state-of-the-art probabilistic forecasting with over 14.53% CRPS and 16.55% MSE reductions.

Weiwei Ye, Dongyuan Li, Hangchen Liu, Haotong Jiang 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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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 1/5
78%Highly rated
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RheoSampling: Resolving the One-Hot Dilemma in Stochastic Dynamic-Tree Speculative Decoding

RheoSampling decouples tree construction and token verification via proxy probabilities to enable lossless stochastic dynamic-tree speculative decoding with higher acceptance rates and speedups.

Qiao Hu, Yepeng Weng, Bo Zhang, Takehisa Yairi

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

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lenient 2/5
medium 8/10
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91%Must read
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The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations

Temporal knowledge drift is geometrically orthogonal to correctness and uncertainty in LLM residual streams, making drift undetectable via standard signals despite linear probes reaching 0.83, 0.95 AUROC.

Rania Elbadry, Ahmed Heakl, Fan Zhang, Dani Bouch and 3 more

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

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5
78%Highly rated
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FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution

FluxFlow uses conservative flow matching with observation uncertainty and Wiener-regularized correction for ground-to-space astronomical super-resolution, outperforming baselines on real DESI-HST pairs.

Shuhong Liu, Xining Ge, quanfeng xu, Ziteng Cui and 8 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: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
91%Must read
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JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation

JMed48k introduces a Japanese medical licensing benchmark with 48,862 questions showing proprietary vision-language models gain substantially from images while medical-specific systems ignore visual evidence.

Yue Xun, Junyu Liu, Qian Niu, Xinyi Wang and 9 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: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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91%Must read
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Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks

PINN gradient conflict has distinct regimes, and a diagnostic framework selects between scalar reweighting and per-loss low-rank adapters, which significantly improve persistent directional conflict across 60+ PDE problems.

Bum Jun Kim, Gnankan Landry Regis N'guessan

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

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lenient 4/5
medium 10/10
strict 3/5
80%Must read
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SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation

SocialDirector uses training-free cross-attention modulation to control actor-action mapping and directional targets in multi-person video generation, significantly improving interaction fidelity.

LIANGYANG OUYANG, Ruicong Liu, Caixin Kang, Yifei Huang and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
83%Must read
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Action Images: End-to-End Policy Learning via Multiview Video Generation

Action Images formulates robot policy learning as multiview video generation using interpretable pixel-grounded action images, enabling zero-shot control without separate policy heads and improving video-action joint generation.

Haoyu Zhen, Zixian Gao, Qiao Sun, yilin zhao and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
76%Highly rated
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Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation

Power distributions unify power sampling, self-reward KL-regularized RL, and self-distillation, showing self-distillation matches sampling performance at lower cost with true-reward gains governed by self-reward alignment.

Akiyoshi Tomihari, Issei Sato

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

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 1/5
78%Highly rated
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POP: Online Structural Pruning Enables Efficient Inference of Large Foundation Models

POP enables context-conditioned online structural pruning of foundation models via coarse-to-fine partitioned masking without offline calibration or retraining, improving accuracy with lower latency.

Yi Chen, Wonjin Shin, Shuhong Liu, Tho Mai and 5 more

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

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lenient 5/5
medium 6/10
strict 0/5
76%Highly rated
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FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry

FrameVGGT bounds streaming geometry memory via complementary frame-wise KV segments and sparse anchor tiers, preserving coherent long-horizon 3D reconstruction, depth estimation, and pose tracking under fixed budgets.

Zhisong Xu, Takeshi Oishi

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
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71%Highly rated
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Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers

Spectrum-adaptive post hoc bounds for deep Transformers use layerwise Schatten quantities to trade spectral complexity against depth and hidden dimension based on learned singular-value profiles.

Mana Sakai, Masaaki Imaizumi

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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lenient 2/5
medium 4/10
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78%Highly rated
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UniVer: A Unified Perspective for Multi-step and Multi-draft Speculative Decoding

UniVer frames tree-based speculative decoding verification as conditional optimal transport to jointly optimize multi-step and multi-draft candidate trees, improving acceptance length by 4.2% to 8.5% losslessly.

Yepeng Weng, Qiao Hu, Takehisa Yairi

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

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AI panel: 11 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 1/5
78%Highly rated
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Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech

A kinetic-optimal scheduler and moment correction improve metric-induced discrete flow matching, yielding GibbsTTS with best objective naturalness and strong speaker similarity in zero-shot text-to-speech.

Dong Yang, YIYI CAI, Haoyu Zhang, Yuki Saito and 1 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: 11 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 1/5
70%Highly rated
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Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design

A retinal model with a novel opsin layer simulates color vision evolution and optimizes task-specific camera spectral filters via mutation-driven adaptation.

Yijie Lu, Zhimin Zong, Junjie Zhang, Shenghan Su and 7 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: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
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