South America
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi
Multivariate time series (MTS) forecasting has shown great importance in numerous industries.
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
Automated seizure detection is of great importance to epilepsy diagnosis and treatment.
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models Samuel Holt
The discovery of dynamical systems models plays a fundamental role across various domains, including pharmacology, epidemiology, and physical systems.
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding Wufei Ma
A vision model with general-purpose object-level 3D understanding should be capable of inferring both 2D ( e.g., class name and bounding box) and 3D information ( e.g., 3D location and 3D viewpoint) for arbitrary rigid objects in natural
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT Thomas Y erxa
"contrastive-equivariant" versions that encourage preservation of input transformations without supervised access to the transformation parameters.
FinBen: A Holistic Financial Benchmark for Large Language Models
Their novel solutions outperformed GPT -4, showcasing FinBen's potential to drive innovations in financial LLMs.
