research
          
      
      ∙
      09/21/2023
    Parallelizing non-linear sequential models over the sequence length
Sequential models, such as Recurrent Neural Networks and Neural Ordinary...
          
            research
          
      
      ∙
      08/22/2022
    Constants of motion network
The beauty of physics is that there is usually a conserved quantity in a...
          
            research
          
      
      ∙
      08/03/2022
    Unifying physical systems' inductive biases in neural ODE using dynamics constraints
Conservation of energy is at the core of many physical phenomena and dyn...
          
            research
          
      
      ∙
      11/15/2021
    Reducing the Long Tail Losses in Scientific Emulations with Active Learning
Deep-learning-based models are increasingly used to emulate scientific s...
          
            research
          
      
      ∙
      11/09/2020
    Derivatives of partial eigendecomposition of a real symmetric matrix for degenerate cases
This paper presents the forward and backward derivatives of partial eige...
          
            research
          
      
      ∙
      12/22/2019
     
             
  
  
     
                             share
 share