Sulin Liu

According to our database, Sulin Liu authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching.

Akshay Subramanian, Shuhui Qu, Cheol Woo Park, Sulin Liu, Janghwan Lee, Rafael Gómez-Bombarelli

CoRR, 2024

Think While You Generate: Discrete Diffusion with Planned Denoising.

Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli

CoRR, 2024

Flow Matching for Accelerated Simulation of Atomic Transport in Materials.

Juno Nam, Sulin Liu, Gavin Winter, KyuJung Jun, Soojung Yang, Rafael Gómez-Bombarelli

CoRR, 2024

Generative Marginalization Models.

Sulin Liu, Peter J. Ramadge, Ryan P. Adams

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sparse Bayesian optimization.

Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions.

Athindran Ramesh Kumar, Sulin Liu, Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge

CoRR, 2021

2020

The Landscape of Matrix Factorization Revisited.

Hossein Valavi, Sulin Liu, Peter J. Ramadge

CoRR, 2020

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters.

Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Revisiting the Landscape of Matrix Factorization.

Hossein Valavi, Sulin Liu, Peter J. Ramadge

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Data Poisoning Attacks on Multi-Task Relationship Learning.

Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem.

Yaodong Yu, Sulin Liu, Sinno Jialin Pan

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Distributed Multi-Task Relationship Learning.

Sulin Liu, Sinno Jialin Pan, Qirong Ho

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Adaptive Group Sparse Multi-task Learning via Trace Lasso.

Sulin Liu, Sinno Jialin Pan

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017