From the 1 of 9 papers with an AI index.
1 citations
- Aarhus UniversityDK1 paper
- Argonne National LaboratoryUS1 paper
- California Institute of TechnologyUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Columbia UniversityUS1 paper
- École Nationale de l’Aviation CivileFR1 paper
- Future University HakodateJP1 paper
- George Mason UniversityUS1 paper
- Georgia Institute of TechnologyUS1 paper
- Hokkaido Information UniversityJP1 paper
- Jilin International Studies UniversityCN1 paper
- Lehigh UniversityUS1 paper
9 papers
What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration
Cencen Liu, Wen Yin, Dongyang Zhang +6
The paper introduces DAR-Net, a deep network that tackles the dual ambiguity problem in all‑in‑one image restoration by modeling degradation states with a simplex‑constrained arche…
Physical Self-Supervised Learning: IMU Sensing without Manual Labels
Yuyang Leng, Renyuan Liu, Shaohan Hu +4
Deep neural networks have become a promising approach for IMU-based sensing, but their scalability is fundamentally limited by costly labeled data and poor robustness to heterogene…
Spin-Boson Mapping of the Quantum Approximate Optimization Algorithm
Sami Boulebnane, Abid Khan, Minzhao Liu +4
The Quantum Approximate Optimization Algorithm (QAOA) achieves monotonically improving performance with circuit depth , yet the study of the high-depth regime has been obstructe…
Challenges in Synchronous & Remote Collaboration Around Visualization
Matthew Brehmer, Maxime Cordeil, Christophe Hurter +26
We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives…
Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation
Md Asif Iqbal Fahim, Oluwadamilola Adebayo, Alessio Ferrari
Traditional self-adaptive systems automatically reconfigure existing components in response to changing requirements, but provide limited support for the generation of novel functi…
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
Siyuan Guo, Yanchao Sun, Jifeng Hu +5
Offline reinforcement learning (RL) provides a promising solution to learning an agent fully relying on a data-driven paradigm. However, constrained by the limited quality of the o…