Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes



Björn W. Schuller , Anton Batliner , Shahin Amiriparian , Christian Bergler , Maurice Gerczuk , Natalie Holz , Pauline Larrouy-Maestri , Sebastian P. Bayerl , Korbinian Riedhammer , Adria Mallol-Ragolta , Maria Pateraki , Harry Coppock , Ivan Kiskin , Marianne Sinka , Stephen Roberts

* 5 pages, part of the ACM Multimedia 2022 Grand Challenge "The ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE 2022)" 

   Access Paper or Ask Questions

Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture



Kieran Wood , Sven Giegerich , Stephen Roberts , Stefan Zohren


   Access Paper or Ask Questions

A Bayesian take on option pricing with Gaussian processes



Martin Tegner , Stephen Roberts

* arXiv admin note: text overlap with arXiv:1901.06021 

   Access Paper or Ask Questions

One-Shot Transfer Learning of Physics-Informed Neural Networks



Shaan Desai , Marios Mattheakis , Hayden Joy , Pavlos Protopapas , Stephen Roberts

* [under review] 

   Access Paper or Ask Questions

Robust and Scalable SDE Learning: A Functional Perspective



Scott Cameron , Tyron Cameron , Arnu Pretorius , Stephen Roberts


   Access Paper or Ask Questions

Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems



Shaan Desai , Marios Mattheakis , David Sondak , Pavlos Protopapas , Stephen Roberts

* [under review] 

   Access Paper or Ask Questions

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL



Jack Parker-Holder , Vu Nguyen , Shaan Desai , Stephen Roberts


   Access Paper or Ask Questions

Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection



Kieran Wood , Stephen Roberts , Stefan Zohren

* minor corrections, strategy comparison for 2015-2020 made more robust by repeated trials 

   Access Paper or Ask Questions

Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective



Lewis Smith , Joost van Amersfoort , Haiwen Huang , Stephen Roberts , Yarin Gal

* Main paper 10 pages including references, appendix 10 pages. 7 figures and 6 tables including appendix 

   Access Paper or Ask Questions

1
2
3
4
5
6
7
>>