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NeurIPS 2026InriaBiosignals & wearables

Survival Transformers for Longitudinal Data Analysis: Application to Atrial Fibrillation Risk from ECG

Rafael Silva, Maxime Sermesant

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

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lenient 2/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026KoreaBiosignals & wearables

Semantic-Level Invariant Representation Learning for Cross-Hospital Clinical EEG Modeling

Kang Yin, Hye-Bin Shin, Seong-Whan Lee

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

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lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026IndependentMichigan StateBiosignals & wearables

REINS: Learning Inertia-Induced Geometry for Physics-Consistent Motion Representation in Clinical Gait Phenotyping

Yiran Ding, Yufei Zhang, Zijun Cui

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 1/5
medium 0/10
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57%Worth a look
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NeurIPS 2026Polish-Japanese Academy of InforSilesian Technical University ofPolish-Japanese Institute of InfBiosignals & wearables

Interpretable Machine Learning Evaluates Differential Therapy Effects in Parkinsonian Gait

Artur Chudzik, Henryk Josiński, Andrzej Przybyszewski

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

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026InherentU OxfordBiosignals & wearables

Next-Token Prediction Enables Scalable Learning of Sleep Physiology

Jonathan F Carter, Lionel Tarassenko

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

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67%Highly rated
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NeurIPS 2026South China University of TechnoSouthern University of Science aOmni Intelligence; SUSTechBiosignals & wearables

Rest-Tuning: Data-Efficient Adaptation of EEG Foundation Models to Individuals via Resting-State Signals

Yinuo Zhang, Xinyu Fu, Qing Wang, Yinte Zhang 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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lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Institute of Artificial IntelligCAST, Russian-Armenian UniversitResearch Center for Trusted AI, Center of Advanced Software TechMoscow Institute of Physics and Biosignals & wearables

ECG Dataset with Multi-Expert Annotations and Delineations

Aram Avetisyan, Shahane Tigranyan, Sergey Skorik, Ariana Asatryan and 2 more

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
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Harbin Institute of TechnologyHarbin Institute of Technology, Biosignals & wearables

Decide Before You Record: Heterogeneity-Guided Pre-Acquisition Stimulus Selection for Cross-Day Neuroprostheses

Di Wu, Binglun Huang, Chengxi Xie, Zhenxi Song 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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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026StanfordBiosignals & wearables

Online Bayesian Recalibration of Brain–Computer Interfaces with Language Model Potentials

Noah Cowan, Scott Linderman

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 2026Universität HildesheimU HildesheimBiosignals & wearables

LAtte: Hyperbolic Lorentz Attention for Joint-Subject EEG Classification

Ahmad Bdeir, Johannes Burchert, Tom Hanika, Lars Schmidt-Thieme and 1 more

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

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lenient 1/5
medium 0/10
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57%Worth a look
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NeurIPS 2026ZhejiangCentral SouthBiosignals & wearables

Improving Neural Decoding Performance for Language BCIs by Explicitly Modeling Context-Induced Noise

Yao Jia, Xianhan Tan, Binli Luo, Yueming Wang 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
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57%Worth a look
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NeurIPS 2026Squirrel Ai LearningNanyang TechnologicalPekingPeking University; Microsoft ResMicrosoft Research AsiaBiosignals & wearables

DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models

Yuqiu Deng, Muyun Jiang, Zongpeng Zhang, Mingqing Xiao and 7 more

Atlanta Poster Session 3, Thu, Dec 10, 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 2026Chinese Institute for Brain ReseBeihangChinese Institute for Brain ReseBiosignals & wearables

Learning Transferable Cross-Day Representations for Few-Shot Neural Decoding

Yue Chen, Menghan Li, Tatsuo S Okubo

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

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lenient 2/5
medium 0/10
strict 0/5
76%Highly rated
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NeurIPS 2026Emory; UCLAEmoryUCLAU Southern CaliforniaU California, Los AngelesBiosignals & wearables

PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation

PG-LRF uses a physiology-guided latent rectified flow with an electro-hemodynamic simulator to generate physiologically plausible ECGs from PPG, improving generation and cardiovascular disease classification.

Xiaoda Wang, Minxiao Wang, Kaiqiao Han, Defu Cao and 9 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 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
72%Highly rated
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NeurIPS 2026U GeorgiaBiosignals & wearables

DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition

DeepArrhythmia classifies ECG arrhythmias via segment context and selective evidence routing, improving beat-level predictions with explicit physiological grounding.

Jiahui Li, Ruili Fang, Zishuai Liu, WenZhan Song 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: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
91%Must read
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NeurIPS 2026KU LeuvenDepartment of Electrical EngineeKatholieke Universiteit LeuvenKULMassachusetts Institute of TechnBiosignals & wearables

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

NeuroAtlas benchmarks EEG foundation models across 42 datasets and finds they largely match generic time-series models without delivering unified clinical EEG performance.

Konstantinos Kontras, Trui Osselaer, Stylianos G Mouslech, Angeliki I. Karaiskou and 11 more

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

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
80%Must read
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NeurIPS 2026StanfordUniversity College London, UniveImperial College LondonCharité - Universitätsmedizin BeU CambridgeBiosignals & wearables

OpenMHC: Accelerating the Science of Wearable Foundation Models

OpenMHC releases the largest open wearable health dataset with open-source foundation models and a unified benchmark across prediction, imputation, and forecasting tasks.

Narayan Schütz, Yuze Bai, Lianggang Pan, Edgar Eggert and 15 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: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
89%Must read
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NeurIPS 2026Google UNSWGoogleU Illinois ChicagoU California, Los AngelesU CambridgeBiosignals & wearables

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring

GlucoFM decomposes CGM data into dual slow and short-term streams for pretraining, improving linear-probe phenotype classification and postprandial response prediction over prior models.

Zechen Li, Keerthana Natarajan, Weizhi Zhang, Simon Lee and 10 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
78%Highly rated
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NeurIPS 2026TsinghuaTsinghua University, TsinghuaGoogle, TsinghuaBiosignals & wearables

FacePhys: State of the Heart Learning

FacePhys is a memory-efficient rPPG algorithm using temporal-spatial state space duality that cuts error by 49% with a 3.6 MB footprint and 9.46 ms latency.

Jack Tang, Kegang Wang, Yuntao Wang, Xin Liu and 4 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
89%Must read
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NeurIPS 2026U WashingtonAmazonPurdueBiosignals & wearables

Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-Site Wearables

Multi-site PPG is an in-the-wild dataset of 350+ hours from earring, ring, watch, and necklace wearables, showing heart-rate errors vary substantially by body site.

Jiayi Shao, Jiaying Ye, ShengYao Liu, Zachary Englhardt and 3 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 4/5
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