From the 4 of 282 papers with an AI index.
41 citations
- Centre National de la Recherche ScientifiqueFR122 papers
- Université Paris-SaclayFR101 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT96 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT96 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT96 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT94 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR93 papers
- CEA Paris-SaclayFR90 papers
- University of BristolGB89 papers
- Sorbonne UniversitéFR88 papers
- University of BolognaIT88 papers
- University of PaduaIT85 papers
7 papers · 1 filter
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…
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…
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…
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…
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
Gökhan Ãzbulak, Oscar Jimenez-del-Toro, MaÃra 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…
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…