Good Papers

Showing papers from Keio University Show all papers

45%Niche pick
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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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medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026U HoustonU Electro-CommunicationsKeioFinance & economics

FairTune Market: A Fair and Trustworthy Marketplace for Fine-Tuned LLMs via Posted-Price & Proper-Scoring Mechanisms

Jiachen Shen, Xingke Yang, Hui Zhong, Aohan Li and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 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
67%Highly rated
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NeurIPS 2026Keio3D vision & reconstruction

Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation

Kazuma Ikeda, Kotaro Oishi, Ryosei Hara, Ryo Yoshida 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
83%Must read
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NeurIPS 2026KeioSB Intuitions3D vision & reconstruction

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers

DPPE decouples rotation and translation in camera positional encoding to fix training stagnation when scaling multi-view transformers and improves extrapolation.

Shun Kenney, Teppei Suzuki

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
80%Must read
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NeurIPS 2026KeioAdversarial robustness

Neural Reconstruction of LiDAR Point Clouds under Jamming Attacks via Full-Waveform Representation and Simultaneous Laser Sensing

PULSAR-Net reconstructs LiDAR point clouds during jamming by identifying authentic signals in full-waveform data, achieving 92% and 73% real-world vehicle recovery in static and driving scenarios.

Ryo Yoshida, Takami Sato, Wenlun Zhang, Yuki Hayakawa and 2 more

Sydney Poster Session 5, Thu, Dec 10, 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 5/5
medium 6/10
strict 1/5