Energy
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
In recent years, machine learning has demonstrated impressive capability in handling molecular science tasks.
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen
Since the inception of our planet, the meteorological environment, as reflected through spatio-temporal data, has always been a fundamental factor influencing human life, socio-economic progress, and ecological conservation.
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
A comprehensive categorization of current approaches and integration of typical scenarios are provided under a unified benchmark.
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
To solve this optimization, we propose a simulation-free training objective with a model parameterization that imposes the desired boundary conditions by design.
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
Machine learning models are increasingly being deployed in real-world contexts. However, systematic studies on their transferability to specific and critical applications are underrepresented in the research literature. An important example is visual anomaly detection (V AD) for robotic power line inspection.