Liu, Sifan

9 publications

ICLR 2026 Antithetic Noise in Diffusion Models Jing Jia, Sifan Liu, Bowen Song, Wei Yuan, Liyue Shen, Guanyang Wang

ICLR 2026 AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations Minjun Zhu, Zhen Lin, Yixuan Weng, Panzhong Lu, Qiujie Xie, Yifan Wei, Sifan Liu, QiYao Sun, Yue Zhang

ICLR 2026 DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively Yixuan Weng, Minjun Zhu, Qiujie Xie, QiYao Sun, Zhen Lin, Sifan Liu, Yue Zhang

JMLR 2025 Selective Inference with Distributed Data Sifan Liu, Snigdha Panigrahi

NeurIPS 2023 Langevin Quasi-Monte Carlo Sifan Liu

JMLR 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes Sifan Liu, Art B. Owen

NeurIPS 2020 Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform Jonathan Lacotte, Sifan Liu, Edgar Dobriban, Mert Pilanci

ICLR 2020 Ridge Regression: Structure, Cross-Validation, and Sketching Sifan Liu, Edgar Dobriban

NeurIPS 2019 Asymptotics for Sketching in Least Squares Regression Edgar Dobriban, Sifan Liu