4.3k citations
- Seoul National UniversityKR79 papers
- The University of TokyoJP70 papers
- Centre National de la Recherche ScientifiqueFR62 papers
- Massachusetts Institute of TechnologyUS58 papers
- University College LondonGB58 papers
- Korea Astronomy and Space Science InstituteKR57 papers
- Sungkyunkwan UniversityKR57 papers
- National Astronomical Observatory of JapanJP55 papers
- Université Paris CitéFR55 papers
- California Institute of TechnologyUS53 papers
- University of AmsterdamNL53 papers
- University of ChicagoUS53 papers
433 papers
Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing
Hojin Lee, Youngim Nam, Sanghun Lee +1
Autonomous racing confronts significant challenges in safely overtaking Opponent Vehicles (OVs) that exhibit uncertain trajectories, stemming from unknown driving policies. To addr…
Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation
Hojin Lee, Yunho Lee, Daniel A Duecker +1
Traversability prediction is a critical component of autonomous navigation in unstructured environments, where complex and uncertain robot-terrain interactions pose significant cha…
Concurrent daytime and nighttime heatwaves in the late 21st century over the CORDEX-East Asia phase 2 domain using multi-GCM and multi-RCM chains
Young-Hyun Kim, Joong-Bae Ahn, Myoung-Seok Suh +5
The adverse impacts of extreme heat on human health are greater when concurrent daytime and nighttime heatwaves (CDNHWs) occur than when daytime or nighttime heatwaves occur indivi…
Impact of extremely high temperature on future photovoltaic power potential over East Asia
Changyong Park, Ana Juzbasic, Dong-Hyun Cha +5
As global warming intensifies, the frequency and intensity of extremely high temperatures are expected to increase. This will impact the production of photovoltaics (PVs), which ar…
MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Ahmad Mousavi, Majid Alikhani, Yeon-Chang Lee +2
Multimodal Graph Neural Networks have become standard for recommendation by augmenting sparse interaction data with content features. Yet current architectures face two bottlenecks…
Added value of dynamical downscaling in sub-seasonal tropical cyclone forecast
Taehyung Kim, Eunji Kim, Haerin Park +2
Improving the sub-seasonal forecast of tropical cyclones (TCs) remains a significant challenge for climate models. This study evaluated the characteristics of tropical cyclones (TC…