| Stochastic axion scenario PW Graham, A Scherlis Physical Review D 98 (3), 035017, 2018 | 181 | 2018 |
| The goldilocks zone: Towards better understanding of neural network loss landscapes S Fort, A Scherlis Proceedings of the aaai conference on artificial intelligence 33 (01), 3574-3581, 2019 | 42 | 2019 |
| Adversarial training for high-stakes reliability D Ziegler, S Nix, L Chan, T Bauman, P Schmidt-Nielsen, T Lin, A Scherlis, ... Advances in Neural Information Processing Systems 35, 9274-9286, 2022 | 37 | 2022 |
| Hedgehog bases for a n cluster polylogarithms and an application to six-point amplitudes DE Parker, A Scherlis, M Spradlin, A Volovich Journal of High Energy Physics 2015 (11), 1-28, 2015 | 33 | 2015 |
| On preheating in Higgs inflation Y Hamada, K Kawana, A Scherlis Journal of Cosmology and Astroparticle Physics 2021 (03), 062, 2021 | 30 | 2021 |
| Polysemanticity and capacity in neural networks A Scherlis, K Sachan, AS Jermyn, J Benton, B Shlegeris arXiv preprint arXiv:2210.01892, 2022 | 13 | 2022 |
| WaveMedic: convolutional neural networks for speech audio enhancement K Fisher, A Scherlis Stanford University, 2016 | 6 | 2016 |
| Triangulations, Polylogarithms, and Grassmannian cluster algebras in particle physics A Scherlis, M Spradlin Unpublished undergraduate thesis, 2015 | 1 | 2015 |
| Scalar Fields in Cosmology AM Scherlis Stanford University, 2019 | | 2019 |
| Cluster Algebras and Symmetries of Regular Tilings A Scherlis arXiv preprint arXiv:1510.07777, 2015 | | 2015 |
Marcus SpradlinBrown University確認したメール アドレス: brown.edu
