A rough path between mathematics and data science
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yifan chen

Yifan Chen

28 April 2022
Solving and learning nonlinear PDEs via Gaussian processes
Hang Lou

Hang Lou

27 April 2022
Path Development Network with Finite-Dimensional Lie Group Representation
wei chen

Wei Chen

20 April 2022
Optimization, Speed-up, and Out-of-distribution Prediction in Deep Learning
marten lienen

Marten Lienen

13 April 2022
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Kevin Schlegel

Kevin Schlegel

30 March 2022
Joint angles based on biomechanical standards as an alternative representation of skeleton data
kathlen kohn

Kathlén Kohn

24 March 2022
The Geometry of Linear Convolutional Networks
riccardo passegierri

Riccardo Passeggeri

23 March 2022
On the signature and cubature of the fractional Brownian motion for H>1/2
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Terry Lyons, Lukasz Szpruch, Peter Foster and Renyuan Xu

16 March 2022
Time series generation and anomaly detection in high dimensions
joel dyer

Joel Dyer

16 March 2022
Simulation-based inference with path signatures
alexis bellot

Alexis Bellot

24 February 2022
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
Patrick Kidger

Patrick Kidger

23 February 2022
Diffrax, NDEs, and SDEs
yariv aizenbud

Yariv Aizenbud

10 February 2022
Non-Parametric Estimation of Manifolds from Noisy Data
Emilio Rossi Ferrucci

Emilio Rossi Ferrucci

09 February 2022
Branched rough paths on manifolds
chris oates

Chris Oates

03 February 2022
Optimal Thinning of MCMC Output
Paola Arrubarrena

Paola Arrubarrena

02 February 2022
Applying Signature Methods on Radio Astronomy
andrew stuart

Andrew Stuart

27 January 2022
Learning Homogenized PDEs in Continuum Mechanics
danyu yang

Danyu Yang

26 January 2022
A remainder estimate for branched rough differential equations
satoshi hayakawa v1

Satoshi Hayakawa

26 January 2022
Random convex hull, cubature, hypercontractivity
john geddes

John Geddes

20 January 2022
2022: time to accelerate the application of data science to mental health
nikolas nusken

Nikolas Nüsken

19 January 2022
Estimating hidden parameters in stochastic multiscale systems using McKean-Vlasov dynamics and rough paths
ilya chevyrev

Ilya Chevyrev

13 January 2022
Regularity structures and machine learning
maud lemercier

Maud Lemercier

12 January 2022
Past and future applications of the signature kernel in machine learning
bin dong

Bin Dong

12 January 2022
Learning and Learning to Solve PDEs
guan horng liu

Guan-Horng Liu

13 December 2021
Higher-Order Optimization of Neural ODEs via Optimal Control Principle