Patrick Kidger
- Equinox: neural networks in JAX via callable PyTrees and filtered transformations
2021/10/30 by Patrick Kidger, Cristian Garcia, Kidger, Patrick +2 · 1 voice · 38 citations
Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Parallel Computing and Optimization Techniques #Programming Languages (cs.PL) #Software Engineering Research #Topic Modeling #cs.LG #cs.PL
- On Neural Differential Equations
2022/02/04 by Patrick Kidger, Kidger, Patrick · 64 citations
Computer Science · Physics and Astronomy · #Classical Analysis and ODEs (math.CA) #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
- Neural Rough Differential Equations for Long Time Series
2020/09/17 by James Morrill, Cristopher Salvi, Morrill, James +7 · 25 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Time Series Analysis and Forecasting
- Neural SDEs as Infinite-Dimensional GANs
2021/02/06 by Patrick Kidger, Kidger, Patrick, James Foster +7 · 23 citations
Economics, Econometrics and Finance · Environmental Science · Physics and Astronomy · #FOS: Computer and information sciences #Hydrology and Drought Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Stochastic processes and financial applications
- Deep Signature Transforms
2019/05/21 by Patric Bonnier, Bonnier, Patric, Patrick Kidger +7 · 21 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications #Digital Media Forensic Detection
- Efficient and Accurate Gradients for Neural SDEs
2021/05/27 by Patrick Kidger, Kidger, Patrick, James Foster +5 · 13 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
- Optimistix: modular optimisation in JAX and Equinox
2024/02/15 by Jason Rader, Rader, Jason, Terry Lyons +3 · 15 citations
Engineering · Materials Science · #Advanced Control Systems Optimization #FOS: Computer and information sciences #FOS: Mathematics #Innovative Microfluidic and Catalytic Techniques Innovation #Mathematical Software (cs.MS) #Optimization and Control (math.OC) #Synthesis and properties of polymers
- Neural Controlled Differential Equations for Online Prediction Tasks
2021/06/21 by James Morrill, Patrick Kidger, Morrill, James +5 · 5 citations
Computer Science · Physics and Astronomy · #Machine Learning in Healthcare #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference
- Lineax: unified linear solves and linear least-squares in JAX and Equinox
2023/11/28 by Jason Rader, Rader, Jason, Terry Lyons +3 · 4 citations
Decision Sciences · #FOS: Computer and information sciences #Mathematical Software (cs.MS) #Scientific Computing and Data Management