arXiv:2606.20457v1 Announce Type: cross
Abstract: Classifier guidance is a way to control diffusion generation by using a noise-conditioned classifier to steer the sampling process toward a target…
arXiv:2510.27568v2 Announce Type: replace
Abstract: Solving mathematical reasoning problems requires not only accurate access to relevant knowledge but also careful, multi-step thinking. However,…
arXiv:2601.22107v2 Announce Type: replace
Abstract: We introduce textit{Prior-Informed Flow Matching (PIFM)}, a conditional flow model for graph reconstruction. Reconstructing graphs from partial…
arXiv:2605.15231v2 Announce Type: replace
Abstract: Nonlinear finite element crash simulations are accurate but computationally expensive, limiting their use in iterative design optimisation….
arXiv:2606.20451v1 Announce Type: cross
Abstract: Competing risks are commonly observed in engineering fields and can bring challenges to time-to-event data modeling when the application scenarios…
arXiv:2601.21626v2 Announce Type: replace
Abstract: Post Training Quantization (PTQ), a mainstream model compression technique, often leads to the paradoxical ‘low error, high loss’ phenomenon…
arXiv:2605.13566v2 Announce Type: replace
Abstract: Land Surface Temperature (LST) is a key variable for various applications, such as urban climate and ecology studies. Yet, existing…
arXiv:2606.19302v1 Announce Type: cross
Abstract: As deep learning for physical systems continues to grow in popularity, efforts to improve generalizability have primarily focused on designing…
arXiv:2601.14288v2 Announce Type: replace-cross
Abstract: We present DeepInflation, an AI agent designed for research and model discovery in inflationary cosmology. Built upon a multi-agent…
arXiv:2604.00730v2 Announce Type: replace-cross
Abstract: Context: Schools, training platforms, and technology firms increasingly need to assess programming proficiency at scale with transparent,…