Pinned Repositories
sigkernel
Differentiable computations for the signature-PDE-kernel on CPU and GPU.
torchspde
Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
SigNova
2023-Kaggle-Stanford-Ribonanza-RNA-Folding-uceemjl
:dna: Transformer-based model for predicting reactivity profiles of RNA molecules.
Distribution_Regression_Streams
Feature set and kernels for regression and classification on ensembles of multivariate time-series (e.g. satellite remote sensing data :earth_africa: :seedling:).
GPSig
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
high-order-sigkernel
High order numerical schemes for computing signature kernels using RoughPy.
higherOrderKME
Code for the NeurIPS 2021 paper "Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes".
kernel-timeseries-anomaly-detection
maudl3116
maudl3116's Repositories
maudl3116/higherOrderKME
Code for the NeurIPS 2021 paper "Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes".
maudl3116/Distribution_Regression_Streams
Feature set and kernels for regression and classification on ensembles of multivariate time-series (e.g. satellite remote sensing data :earth_africa: :seedling:).
maudl3116/2023-Kaggle-Stanford-Ribonanza-RNA-Folding-uceemjl
:dna: Transformer-based model for predicting reactivity profiles of RNA molecules.
maudl3116/high-order-sigkernel
High order numerical schemes for computing signature kernels using RoughPy.
maudl3116/GPSig
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
maudl3116/kernel-timeseries-anomaly-detection
maudl3116/maudl3116
maudl3116/Network
module_1 mini-project
maudl3116/Robotics-Competition
maudl3116/Schrodinger-PDE-Solver
maudl3116/sigkernel
Differentiable computations for the signature-PDE-kernel on CPU and GPU.
maudl3116/Sparse-Binary-Neural-Networks
maudl3116/v130
Proceedings of AISTATS 2021