From the 24 of 371 papers with an AI index.
94 citations
- Tsinghua UniversityCN103 papers
- University of Chinese Academy of SciencesCN102 papers
- University of BristolGB77 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT76 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PerugiaIT76 papers
- South China Normal UniversityCN76 papers
- Massachusetts Institute of TechnologyUS69 papers
- University of Maryland, College ParkUS69 papers
- Université Paris-SaclayFR68 papers
- University of ZurichCH68 papers
- University of Science and Technology of ChinaCN67 papers
- Eötvös Loránd UniversityHU65 papers
15 papers · 1 filter
Multi-Feature Riemannian Hypergraph for Online Test-Time Adaptation of Motor Imagery Brain-Computer Interface
Siqi Li, Zhi Li, Tong Liu +5
In clinical motor imagery brain-computer interface (MI-BCI) decoding, cross-day transferability and online operation remain two critical challenges. Hypergraphs can improve transfe…
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
Pengxiang Wang, Hongbo Bo, Jun Hong +2
Catastrophic forgetting is a major problem in task-incremental learning, where neural networks tend to overwrite previously learned knowledge when trained on new tasks. A number of…
From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology
Yuan Wang, Shengao Yi, Xiaojiang Li +4
The paper compares land surface temperature (LST) with the universal thermal climate index (UTCI) to assess human heat stress in Singapore, using high‑resolution satellite data and…
Riemannian Denoising Diffusion Probabilistic Models
Zichen Liu, Wei Zhang, Christof Schütte +1
We propose Riemannian Denoising Diffusion Probabilistic Models (RDDPMs) for learning distributions on submanifolds of Euclidean space that are level sets of functions, including mo…
CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems
Jiale Gong, Pengzhan Jin, Dongyang Kuang +2
Learning dissipative dynamics from discrete observations is essential for reliable long-horizon prediction and physically meaningful parameter identification. For linearly damped H…
Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +9
Strategic classification (SC) investigates scenarios where agents manipulate their features to obtain favorable decisions from predictive models. Existing fairness-aware SC approac…