Showing papers from The University of Tokyo Show all papers
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Exact physical projection improves autoregressive forecasts when operators match target geometry, but approximate enforcement can increase rollout error and should be benchmarked by alignment.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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A unified framework decomposes LLM alignment dynamics into competing rebound and driving forces, explaining reversal and faster re-alignment via rehearsal priming.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
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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TimeClaw learns reusable hierarchical experience from exploratory time-series executions via explore-compare-distill-reinject loops, improving reasoning without online adaptation.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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GANICE minimizes averaged Wasserstein risk for conditional interventional distributions using an extended distance and cellwise critic, achieving minimax optimality without density estimation.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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RheoSampling decouples tree construction and token verification via proxy probabilities to enable lossless stochastic dynamic-tree speculative decoding with higher acceptance rates and speedups.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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SocialDirector uses training-free cross-attention modulation to control actor-action mapping and directional targets in multi-person video generation, significantly improving interaction fidelity.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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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.
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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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.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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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.
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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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.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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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.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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A retinal model with a novel opsin layer simulates color vision evolution and optimizes task-specific camera spectral filters via mutation-driven adaptation.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Multi-step SGD enables weak-to-strong generalization by eliciting pre-trained features without catastrophic forgetting of off-target capabilities.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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