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arXivCase Western ReserveKyotoLLM pretraining & scaling laws

How to Loop MoE: Flatten the Experts, Untie the Attention

Foil improves looped MoE by flattening experts and untying attention, reducing pretraining loss by 0.012 nat and improving routing balance and confidence.

Shouren Wang, Chuang Ma, Mohsen Hariri, Debargha Ganguly and 5 more

Published Sep 28, 2026 · 0 citations · ▲ 9 on Hugging Face · Code ★ 2

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
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NeurIPS 2026KyotoGraduate School of Informatics, Multi-agent RL

Scalable Multi-Agent Contrastive Reinforcement Learning

Victor Augusto Kich, Satoshi Yamamori, Jun Morimoto

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026TianjinTsinghua University, TsinghuaTsinghuaKyotoOptimization

Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport

Tianhao Wu, Wei Zhang, Haoran Pang, Haoran YANG and 1 more

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

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NeurIPS 2026KyotoAutoregressive generation

BAL: Bidirectional Autoregression in Latent Space for Learning Human Movement Representations

Genki Kinoshita, Ko Nishino

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

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NeurIPS 2026Proxima Technology / KyotoKyotoModel-based RL

Objective-Aligned Amortized Inference for Offline Bayes-Adaptive MDP Model Learning

Toru Hishinuma, Kei Senda

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

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NeurIPS 2026KyotoDeep learning theory

Second-Order Complexity Theory for Neural Networks

Yoshihiro Maruyama

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

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NeurIPS 2026SpotlightKyotoDeep learning theory

Foundations of Categorical Equivariant Deep Learning

Yoshihiro Maruyama

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

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NeurIPS 2026KyotoLearning theory

Second-Order Complexity Theory for Risk, Explanation, and Calibration in Machine Learning

Yoshihiro Maruyama

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

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NeurIPS 2026KyotoDeep learning theory

Second-Order Complexity of Neural ODE Inference

Yoshihiro Maruyama

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

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NeurIPS 2026Toshiba CorporationKyotoKyushuExplainable AI

Counterfactual Explanations for Time-Series Classification via Constrained Flow Matching

Akihiro Yamaguchi, Shizuo Kaji, Kaname Matsue, Ryusei Shingaki

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

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NeurIPS 2026KyotoThe University of TokyoHong Kong PolytechnicHohaiU Science and Technology of ChinVision-language models

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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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5