60 citations
- McGill UniversityCA5 papers
- Nantes UniversitéFR4 papers
- Chinese Academy of SciencesCN3 papers
- Georgia Institute of TechnologyUS3 papers
- University of SfaxTN3 papers
- Institute of Cognitive and Brain SciencesUS2 papers
- Institute of Intelligent MachinesCN2 papers
- Johns Hopkins UniversityUS2 papers
- McGovern Institute for Brain ResearchUS2 papers
- Technological University DublinIE2 papers
- Boston CollegeUS1 paper
- Brain (Germany)DE1 paper
30 papers
The Type IIn SN 2025cbj coincidence with the high-energy neutrino IceCube-250421A
S. Garrappa, E. A. Zimmerman, T. Wasserman +14
Context. The origin of the astrophysical high-energy neutrino flux remains uncertain. Core-collapse supernovae with strong CSM interaction (Type IIn) are compelling candidates for…
Robust Low-Rank Sparse Framework for Video-Based Affective Computing
Feng-Qi Cui, Jinyang Huang, Sirui Zhao +4
Video-based Affective Computing (VAC), vital for emotion analysis and human-computer interaction, suffers from model instability and representational degradation due to complex emo…
How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
Taha Yasseri, Saeedeh Mohammadi
The launch of Grokipedia, an AI-generated encyclopedia developed by Elon Musk's xAI, was presented as a response to perceived ideological and structural biases in Wikipedia, aiming…
Multi-Touch and Bending Sensing Using Electrical Impedance Tomography for Robotics
Haofeng Chen, Bedrich Himmel, Bin Li +2
Electrical Impedance Tomography (EIT) offers a promising solution for distributed tactile sensing with minimal wiring and full-surface coverage in robotic applications. However, EI…
Interpretable Early Warnings using Machine Learning in an Online Game-experiment
Guillaume Falmagne, Anna B. Stephenson, Simon A. Levin
Stemming from physics and later applied to other fields such as ecology, the theory of critical transitions suggests that some regime shifts are preceded by statistical early warni…
Preparing Schrödinger cat states in a microwave cavity using a neural network
Hector Hutin, Pavlo Bilous, Chengzhi Ye +8
Scaling up quantum computing devices requires solving ever more complex quantum control tasks. Machine learning has been proposed as a promising approach to tackle the resulting ch…