3 papers
stat.ML2026
Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering
Ziseok Lee, Jaehyeon Kim, Seungwon Kim +6
Inference-time steering combines pretrained diffusion experts or rewards without retraining by changing the dynamics that transport noise to data. Feynman-Kac correction compensate…
cs.PL2025
Operon: Incremental Construction of Ragged Data via Named Dimensions
Sungbin Moon, Jiho Park, Suyoung Hwang +3
Modern data processing workflows frequently encounter ragged data: collections with variable-length elements that arise naturally in domains like natural language processing, scien…
cs.AI2025
Spacer: Towards Engineered Scientific Inspiration
Minhyeong Lee, Suyoung Hwang, Seunghyun Moon +13
Recent advances in LLMs have made automated scientific research the next frontline in the path to artificial superintelligence. However, these systems are bound either to tasks of…