Evaluates eight Shapley variants' human utility in high-risk settings, revealing misalignment between current metrics and human perception.

Inês Oliveira e Silva, Sérgio Jesus, Iker Perez et al.

Decoding high-dimensional finger motion using Riemannian features and RNNs, TRR achieves 9.79° error on EMG-FK dataset.

Martin Colot, Cédric Simar, Guy Cheron et al.

HubRouter replaces O(n^2) attention with O(nM) routing for efficiency gains.

Abhinaba Basu

SharpAP significantly enhances the transferability of poisoning attacks on recommender systems, showing improved performance across multiple datasets.

Junsong Xie, Yonghui Yang, Pengyang Shao et al.

ReCast framework improves Pass@1 by 36.6% in generative recommendation, optimizing sparse-hit signals.

Peiyan Zhang, Hanmo Liu, Chengxuan Tong et al.

LTBs-KAN enhances KAN efficiency with linear-time B-spline computation.

Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello

Introduces 'sharpness dimension' to explain improved generalization at the edge of stability.

Mario Tuci, Caner Korkmaz, Umut Şimşekli et al.

Proposes Safe EWC and CF-EWC algorithms for safe continual reinforcement learning in non-stationary environments.

Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro et al.

FASTER method reduces computational cost by early action sample filtering during denoising while maintaining RL performance.

Perry Dong, Alexander Swerdlow, Dorsa Sadigh et al.

Adversarial training enables Vision Transformers to achieve near-zero robust training loss and robust generalization error under moderate perturbation budgets.

Jiaming Zhang, Meng Ding, Shaopeng Fu et al.

Utilizing determinantal point processes for Monte Carlo integration to enhance estimator variance convergence speed.

Guillaume Gautier, Rémi Bardenet, Michal Valko

Proposes a heterogeneity-aware personalized federated learning model to enhance failure time prediction accuracy in industrial predictive analytics.

Yuhan Hu, Xiaolei Fang

S2MAM uses bilevel optimization for robust estimation and variable selection, validated on 16 datasets.

Xuelin Zhang, Hong Chen, Yingjie Wang et al.

Sessa enhances long-range memory by embedding selective attention in feedback paths.

Liubomyr Horbatko

Introduced Bounded Ratio Reinforcement Learning (BRRL) framework, outperforming PPO in environments like MuJoCo.

Yunke Ao, Le Chen, Bruce D. Lee et al.

Apollo model integrates 28 medical modalities and 12 specialties to predict disease risk up to 5 years in advance.

Andrew Zhang, Tong Ding, Sophia J. Wagner et al.

Analysis of generalization bounds in symbolic regression with genetic programming, revealing complexities in structure selection and constant fitting.

Masahiro Nomura, Ryoki Hamano, Isao Ono

VS-WNO fails to translate spike sparsity into deployment cost advantage on Jetson Orin Nano.

Jason Yoo, Shailesh Garg, Souvik Chakraborty et al.

A smaller model post-trained with reinforcement learning excels in small-molecule drug design tasks, rivaling state-of-the-art frontier models.

Shriram Chennakesavalu, Kirill Shmilovich, Hayley Weir et al.

Task-reward optimization enhances Llama-3.2-3B-Instruct's performance on math datasets.

Sarthak Mittal, Leo Gagnon, Guillaume Lajoie