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From the 4 of 282 papers with an AI index.

most citedTrainability barriers and opportunities in quantum generative modeling

41 citations

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cs.LG2026

Deep Learning-Based Estimation of Ground Reaction Forces in Parkinsonian Gait Using an Optimized Set of IMU Data

Run Lin, Yingtian Tang, Jiawen Xu +6

Accurate gait analysis in Parkinson's disease (PD) typically relies on laboratory-based systems to capture biomechanical data, such as ground reaction forces (GRFs). Estimating GRF…

cs.LG2026

Learning Peer Influence Probabilities with Linear Contextual Bandits

Ahmed Sayeed Faruk, Mohammad Shahverdikondori, Elena Zheleva

In networked environments, it is common for users to share recommendations about content, products, services, and possible courses of action. Whether these recommendations are acce…

cs.LG2026

NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning

Xinwei Liu, Junyuan Liang, Zicong Hong +2

Augmenting model-free reinforcement learning (RL) with representations learned through observation dynamics prediction (observation-predictive RL) can improve sample efficiency and…

cs.LG20264 cited

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach

Qishen Zhou, Yifan Zhang, Michail A. Makridis +3

Network-wide Traffic State Estimation (TSE), which aims to infer a complete image of network traffic states with sparsely deployed sensors, plays a vital role in intelligent transp…

cs.LG20261 cited

A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems

Gökhan Özbulak, Oscar Jimenez-del-Toro, Maíra Fatoretto +2

The evaluation of fairness models in Machine Learning involves complex challenges, such as defining appropriate metrics, balancing trade-offs between utility and fairness, and ther…

cs.LG202618 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…