15 citations · 33 across the 6 of their papers we have counts for
6 papers
On the Fairness of Disentangled Representations
Francesco Locatello, Gabriele Abbati, Tom Rainforth +3
Recently there has been a significant interest in learning disentangled representations, as they promise increased interpretability, generalization to unseen scenarios and faster l…
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
Gabriele Abbati, Philippe Wenk, Michael A Osborne +3
Stochastic differential equations are an important modeling class in many disciplines. Consequently, there exist many methods relying on various discretization and numerical integr…
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
Philippe Wenk, Gabriele Abbati, Michael A Osborne +3
Parameter inference in ordinary differential equations is an important problem in many applied sciences and in engineering, especially in a data-scarce setting. In this work, we in…
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
Bernardo Pérez Orozco, Gabriele Abbati, Stephen Roberts
Time series forecasting is ubiquitous in the modern world. Applications range from health care to astronomy, and include climate modelling, financial trading and monitoring of crit…
MRI-based Surgical Planning for Lumbar Spinal Stenosis
Gabriele Abbati, Stefan Bauer, Peter J. Schüffler +5
The most common reason for spinal surgery in elderly patients is lumbar spinal stenosis(LSS). For LSS, treatment decisions based on clinical and radiological information as well as…
Computing the force distribution on the surface of complex, deforming geometries using vortex methods and Brinkman penalization
Siddhartha Verma, Gabriele Abbati, Guido Novati +1
The distribution of forces on the surface of complex, deforming geometries is an invaluable output of flow simulations. One particular example of such geometries involves self-prop…