1 code implementation • 2 Feb 2024 • Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio
We propose a novel framework that leverages LLMs for full causal graph discovery.
no code implementations • 23 May 2023 • Xiaoyin Chen, Sam Wiseman
Given BM25's enduring competitiveness as an information retrieval baseline, we investigate to what extent it can be even further improved by augmenting and re-weighting its sparse query-vector representation.
1 code implementation • 25 Apr 2022 • Siyue Wang, Xiaoyin Chen, Brent J. Frederisy, Benedict A. Mbakogu, Amy D. Kanne, Pasha Khosravi, Wayne B. Hayes
The function of a protein is defined by its interaction partners.
no code implementations • pproximateinference AABI Symposium 2022 • Gabriel Hope, Madina Abdrakhmanova, Xiaoyin Chen, Michael C Hughes, Erik B. Sudderth
We consider training deep generative models toward two simultaneous goals: discriminative classification and generative modeling using an explicit likelihood.
no code implementations • 12 Dec 2020 • Gabriel Hope, Madina Abdrakhmanova, Xiaoyin Chen, Michael C. Hughes, Erik B. Sudderth
We develop a new framework for learning variational autoencoders and other deep generative models that balances generative and discriminative goals.