Gabriele Abbati
Gabriele Abbati
Machine Learning Quant, Man AHL
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On the fairness of disentangled representations
F Locatello, G Abbati, T Rainforth, S Bauer, B Schölkopf, O Bachem
arXiv preprint arXiv:1905.13662, 2019
942019
Odin: Ode-informed regression for parameter and state inference in time-continuous dynamical systems
P Wenk, G Abbati, MA Osborne, B Schölkopf, A Krause, S Bauer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6364-6371, 2020
192020
Computing the force distribution on the surface of complex, deforming geometries using vortex methods and brinkman penalization
S Verma, G Abbati, G Novati, P Koumoutsakos
International Journal for Numerical Methods in Fluids 85 (8), 484-501, 2017
152017
AReS and MaRS-Adversarial and MMD-Minimizing Regression for SDEs
G Abbati, P Wenk, MA Osborne, A Krause, B Schölkopf, S Bauer
Proceedings of the 36th International Conference on Machine Learning 97, 1--10, 2019
122019
Mordred: Memory-based ordinal regression deep neural networks for time series forecasting
BP Orozco, G Abbati, S Roberts
arXiv preprint arXiv:1803.09704, 2018
122018
Adageo: Adaptive geometric learning for optimization and sampling
G Abbati, A Tosi, M Osborne, S Flaxman
International conference on artificial intelligence and statistics, 226-234, 2018
82018
MRI-based surgical planning for lumbar spinal stenosis
G Abbati, S Bauer, S Winklhofer, PJ Schüffler, U Held, JM Burgstaller, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
32017
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
B Pérez Orozco, G Abbati, S Roberts
arXiv e-prints, arXiv: 1803.09704, 2018
2018
Synchronized Swimming of Two Fish
P Koumoutsakos, G Novati, G Abbati, B Hejazialhosseini, W van Rees
APS Division of Fluid Dynamics Meeting Abstracts, G27. 004, 2015
2015
Surface-forces on deforming geometries using Vortex Methods and Brinkman penalization
S Verma, G Abbati, P Koumoutsakos
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Articles 1–10