Liu, Sulin

13 publications

ICLRW 2025 Crystal Generative Modeling with Explicit Autoregressive Conditional Likelihoods and Nontrivial Space Group Stabilizers Rees Chang, Alex Guerra, Nick Richardson, Ni Zhan, Sulin Liu, Angela Pak, Ryan Marr, Alex M. Ganose, Ryan P Adams, Elif Ertekin

ICLR 2025 Think While You Generate: Discrete Diffusion with Planned Denoising Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stark, Yilun Xu, Tommi Jaakkola, Rafael Gomez-Bombarelli

NeurIPSW 2024 A Chemically-Guided Generative Diffusion Model for Materials Synthesis Planning Elton Pan, Soonhyoung Kwon, Sulin Liu, Mingrou Xie, Yifei Duan, Thorben Prein, Killian Sheriff, Yuriy Roman, Manuel Moliner, Rafael Gomez-Bombarelli, Elsa Olivetti

ICMLW 2024 Generative Acceleration of Molecular Dynamics Simulations for Solid-State Electrolytes Juno Nam, Sulin Liu, Gavin Winter, Rafael Gomez-Bombarelli

ICML 2024 Generative Marginalization Models Sulin Liu, Peter Ramadge, Ryan P Adams

NeurIPSW 2024 Scaling Autoregressive Models for Lattice Thermodynamics Xiaochen Du, Sulin Liu, Rafael Gomez-Bombarelli

ICMLW 2023 Generative Marginalization Models Sulin Liu, Peter Ramadge, Ryan P Adams

AISTATS 2023 Sparse Bayesian Optimization Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy

AISTATS 2020 Revisiting the Landscape of Matrix Factorization Hossein Valavi, Sulin Liu, Peter Ramadge

NeurIPS 2020 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams

AAAI 2018 Data Poisoning Attacks on Multi-Task Relationship Learning Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan

IJCAI 2017 Adaptive Group Sparse Multi-Task Learning via Trace Lasso Sulin Liu, Sinno Jialin Pan

UAI 2017 Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem Yaodong Yu, Sulin Liu, Sinno Jialin Pan