Showing 1–20 of 21 results
/ Date/ Name
Aug 11, 2025Evolution of linear matter perturbations with error-bounded bundle physics-informed neural networksJun 13, 2025Multivariate Time-series Transformer Embeddings for Light CurvesMay 30, 2025Applying Vision Transformers on Spectral Analysis of Astronomical ObjectsFeb 27, 2025Leveraging pre-trained vision Transformers for multi-band photometric light curve classificationJan 28, 2025Stiff Transfer Learning for Physics-Informed Neural NetworksJan 21, 2025Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions SpaceDec 13, 2024Uncertainty estimation for time series classification: Exploring predictive uncertainty in transformer-based models for variable starsNov 21, 2024Exact and approximate error bounds for physics-informed neural networksNov 25, 2023One-Shot Transfer Learning for Nonlinear ODEsJun 6, 2023Residual-based error bound for physics-informed neural networksNov 1, 2022Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched FlowsApr 4, 2022Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature RepresentationsJun 14, 2021StelNet: Hierarchical Neural Network for Automatic Inference in Stellar CharacterizationFeb 3, 2020Scalable End-to-end Recurrent Neural Network for Variable star classificationJan 29, 2020Hamiltonian neural networks for solving equations of motionJun 28, 2013Planck and the local Universe: quantifying the tensionMar 5, 2013Statistical Properties of Galactic δ Scuti Stars: RevisitedOct 25, 2011A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMCMay 21, 2009Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable StarsJan 21, 2009Event Discovery in Time Series