conftrace_

spatiotemporal dynamics

17 papers

Explore in graph

Co-occurring keywords

neural network (6616) graph neural network (3962) partial differential equation (222) physics-informed learning (66) physics-informed neural network (97) diffusion model (3751) uncertainty quantification (1393) coarse grid (1) turbulent flow (3) motion modeling (48)

Papers

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics AAAI 2026
OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting AAAI 2026
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection WACV 2026
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction ICCV 2025
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP AAAI 2025
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting AAAI 2025
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics AAAI 2025
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting AAAI 2025
Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
Generalizable Implicit Motion Modeling for Video Frame Interpolation NIPS 2024
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation NIPS 2024
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NIPS 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NIPS 2023
Neural Stochastic Differential Games for Time-series Analysis ICML 2023
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics NIPS 2022