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NeurIPS 2026RIKENTime series classification & imputation

PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation

Yuta Tarumi

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

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lenient 1/5
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45%Niche pick
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NeurIPS 2026The Institute of Statistical MatRIKENRIKEN AIPBayesian & probabilistic methods

Incorporating Neural Network Structure in the Bayesian Learning Rule

Eiki Shimizu, Mohammad Emtiyaz Khan, Thomas Möllenhoff

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

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69%Highly rated
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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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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
57%Worth a look
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NeurIPS 2026South China University of TechnoRIKENXiaomi CorporationXiaomiFlow matching

Inference-Time Self-Aligned Drifting for Few-Step Flow Matching

Shigui Li, JIAN XU, Wei Chen, Junmei Yang and 3 more

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

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026RIKENKeioCausal inference

Bayesian Causal Stress Testing: Posterior Fragility of Treatment-Effect Conclusions

Makoto Nakakita, Teruo Nakatsuma

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

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NeurIPS 2026U TokyoRIKENThe University of Tokyo / RIKEN The University of Tokyo; RIKEN ARIKEN/University of TokyoSemi- & weakly supervised learning

Rethinking Learning from Label Proportions via Moment Matching

Tianhao Ma, Wei Wang, Yivan Zhang, Dong-Dong Wu 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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57%Worth a look
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NeurIPS 2026Mohamed bin Zayed University of RIKENU OxfordHKBU / RIKENMohamed bin Zayed University of Machine unlearning

UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?

Puning Yang, Qizhou Wang, Junchi Yu, Bo Han 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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NeurIPS 2026RIKENKarlsruher Institut für TechnoloZuse Institute Berlindida, Zuse Institute BerlinDiffusion models

A Trust Region Approach for Learning Schrödinger Bridges

Takeshi Koshizuka, Denis Blessing, Max Zimmer, Sebastian Pokutta 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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NeurIPS 2026Instituto Superior TecnicoVector InstituteU LisbonInstituto de TelecomunicacoesRIKEN AIPBayesian & probabilistic methods

The Bayesian Learning Rule Beyond KL Geometry

SOPHIA SKLAVIADIS, Wu Lin, Mario Figueiredo, André Martins and 2 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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57%Worth a look
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NeurIPS 2026Tohoku University, Institute of RIKEN AIPMicrosoft ResearchRIKEN/University of TokyoRIKENFairness & bias

Practical Estimation of the Bayes Optimal Fairness-Accuracy Tradeoff with Soft Labels

mohit sharma, Okan Koc, Amit Jayant Deshpande, Takashi Ishida and 3 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026UT AustinMassachusetts Institute of TechnRIKENHKBU / RIKENCarnegie MellonMachine unlearning

On the Fragility of Latent Knowledge: Layer-wise Influence under Unlearning in Large Language Model

Jianing Zhu, Zongze Li, Chandler Squires, Qizhou Wang and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026The University of Tokyo; RIKEN AMBZUAIRIKENMohamed bin Zayed University of RIKEN / University of TokyoDiffusion models

DELTA: Robustly Training Label-Conditional Diffusion Models with Weak Annotations

Dong-Dong Wu, Jiacheng Cui, Wei Wang, Zhiqiang Shen and 1 more

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

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lenient 1/5
medium 0/10
strict 0/5
80%Must read
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NeurIPS 2026WestlakeShandong University of Science aHokkaidoShanghai Jiao TongRIKENImage recognition

OFBD: Object-Focused Background Debiasing for Long-Tailed Learning

OFBD identifies background-biased representations as a cause of long-tailed degradation and proposes foreground-guided CutMix and background-guided feature rectification to improve accuracy and tail-class performance.

Shenghan Chen, Yiming Liu, Zhipeng Deng, Haolin Wang and 5 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
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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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
71%Highly rated
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NeurIPS 2026Chiang MaiRIKENThe University of Tokyo / RIKEN Learning theory

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport

This paper develops minimax-optimal estimators for transport-growth pairs in unbalanced optimal transport and proves matching lower bounds via a stability reduction.

Donlapark Ponnoprat, Noboru Isobe, Masaaki Imaizumi

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

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 2/5
72%Highly rated
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NeurIPS 2026RIKENImperial College LondonThe University of Tokyo / RIKEN Deep learning theory

Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers

Training a linear FFN in mean-field transformers drives token distributions to escape attention-induced clustering near final layers.

Noboru Isobe, Daisuke Inoue, Masaaki Imaizumi

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

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 2/5
76%Highly rated
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NeurIPS 2026JilinRIKEN-AIPThe University of WarwickRIKENRIKEN / University of TokyoInstruction tuning

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

EoupCT estimates unknown pre-training gradients via learnable pseudo-data prompts and orthogonalizes updates to preserve general knowledge during continual LLM fine-tuning.

Bing Wang, Changchun Li, Xin-Qiang Cai, Lin Y Wu and 3 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: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5