no code implementations • 16 Oct 2023 • Han Qi, Xinyang Geng, Stefano Rando, Iku Ohama, Aviral Kumar, Sergey Levine
In computational chemistry, crystal structure prediction (CSP) is an optimization problem that involves discovering the lowest energy stable crystal structure for a given chemical formula.
1 code implementation • 24 Oct 2021 • Konstantinos Kallidromitis, Denis Gudovskiy, Kazuki Kozuka, Iku Ohama, Luca Rigazio
In this paper, we propose a novel self-supervised learning framework that combines contrastive learning with neural processes.
no code implementations • NeurIPS 2017 • Iku Ohama, Issei Sato, Takuya Kida, Hiroki Arimura
In order to ensure that the model shrinkage effect of the EPM works in an appropriate manner, we proposed two novel generative constructions of the EPM: CEPM incorporating constrained gamma priors, and DEPM incorporating Dirichlet priors instead of the gamma priors.