Vendi Information Gain for Active Learning and its Application to Ecology
FG-ConvNO: A Geometry-Aware Neural Operator for Propeller CFD Prediction
MNO: A Multi-modal Neural Operator for Parametric Nonlinear BVPs
Towards Fine-Tuning-Based Site Calibration for Knowledge-Guided Machine Learning
CORONA-FIELDS: Leveraging Foundation Models for Classification of Solar Wind Phenomena
Interpretable, Redshift-Free Photometric Typing of Type~Ia Supernovae for the Rubin LSST
Hyperspectral Variational Autoencoders for Joint Data Compression and Component Extraction
DECOR: Deep Embedding Clustering with Orientation Robustness
Dual-Head Physics-Informed Graph Decision Transformer for Distribution System Restoration
The Promise of Reinforcement Learning for Controlling Ion Micromotion in RF Paul Traps
Towards a Foundation Model for Partial Differential Equations Across Physics Domains
TLE-Based A2C Agent for Terrestrial Coverage Orbital Path Planning
Accelerating Machine Learning Force Field Inference with Atom Type Specific Scheduling
Resilient AI Infrastructure by Design: A Spatially-Aware Framework for Tolerating Clustered Failures
Five Years of SciCap: What We Learned and Future Directions for Scientific Figure Captioning
A General Pipeline for LLM Finetune Ingestion of Scientific Tabular Data
Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging
Generation of Low-Discrepancy Point Sets and Sequences via LLM Evolutionary Search
Bridging Symbolic and Neural Reasoning: Ontology-Integrated LLMs for Domain-Grounded QA
MedRule-KG: A Knowledge-Graph–Steered Scaffold for Reliable Mathematical and Biomedical Reasoning
Using Multi-Modal Diffusion Models to Reconstruct Dark Matter Fields
When Less is More: A Story of Failing Bayesian Optimization Due to Additional Expert Knowledge
Self-Supervised Affordance Reinforcement Learning Framework for Robotic Grasping