no code implementations • 9 Apr 2024 • Yuchen Zhu, Tianrong Chen, Evangelos A. Theodorou, Xie Chen, Molei Tao
This article considers the generative modeling of the states of quantum systems, and an approach based on denoising diffusion model is proposed.
no code implementations • 23 Apr 2023 • Yuchen Zhu, Kailash Budhathoki, Jonas Kuebler, Dominik Janzing
On the positive side, we show that cause-effect relations can be aggregated when the macro interventions are such that the distribution of micro states is the same as in the observational distribution; we term this natural macro interventions.
no code implementations • 28 Feb 2023 • Sebastian Baudelet, Brieuc Frénais, Mathieu Laurière, Amal Machtalay, Yuchen Zhu
The first one is based on directly learning an optimal control.
no code implementations • 18 Jun 2022 • Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt Kusner, Ricardo Silva
We propose a kernel-based nonparametric estimator for the causal effect when the cause is corrupted by error.
2 code implementations • NeurIPS 2021 • Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J. Kusner, Ricardo Silva
We address the estimation of conditional average treatment effects (CATEs) for structured treatments (e. g., graphs, images, texts).
2 code implementations • 10 May 2021 • Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet
In particular, we provide a unifying view of two-stage and moment restriction approaches for solving this problem in a nonlinear setting.
no code implementations • 8 Feb 2021 • Bruno Abrahao, Zheng Wang, Haider Ahmed, Yuchen Zhu
Model deficiency that results from incomplete training data is a form of structural blindness that leads to costly errors, oftentimes with high confidence.
1 code implementation • 24 Jun 2019 • François-Xavier Aubet, Dominic Danks, Yuchen Zhu
By training and evaluating EQuANt on SQuAD 2, we show that it is indeed possible to extend QANet to the unanswerable domain.