Yen Ting Lin

22 papers A* 2A 1B 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching.
CoRR
An B. Vuong, Michael T. McCann, Javier E. Santos, Yen Ting Lin
2025 J jnl
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching.
Trans. Mach. Learn. Res.
An Vuong, Michael Thompson McCann, Javier E. Santos, Yen Ting Lin
2025 J jnl
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling.
CoRR
Javier E. Santos, Agnese Marcato, Roman Colman, Nicholas Lubbers, Yen Ting Lin
2025 J jnl
Is memory all you need? Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows.
CoRR
Xander M. de Wit, Alessandro Gabbana, Michael Woodward, Yen Ting Lin, Federico Toschi, Daniel Livescu
2024 A* conf
Liouville Flow Importance Sampler.
ICML
Yifeng Tian, Nishant Panda, Yen Ting Lin
2024 J jnl
Liouville Flow Importance Sampler.
CoRR
Yifeng Tian, Nishant Panda, Yen Ting Lin
2024 J jnl
Nonparametric Inference for the Reproductive Rate in Generalized Compartmental Models.
SIAM J. Appl. Math.
Imelda Trejo, Yen Ting Lin, Amanda Patrick, Nicolas W. Hengartner
2023 A* conf
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces.
ICML
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
2023 J jnl
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces.
CoRR
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
2023 J jnl
Regression-Based Projection for Learning Mori-Zwanzig Operators.
SIAM J. Appl. Dyn. Syst.
Yen Ting Lin, Yifeng Tian, Danny Perez, Daniel Livescu
2023 A conf
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information.
EACL
Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
2023 J jnl
Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules.
CoRR
Javier E. Santos, Yen Ting Lin
2022 J jnl
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks.
CoRR
Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin
2022 J jnl
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks.
Stat. Comput.
Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin
2022 J jnl
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit.
Bioinform.
Jacob Neumann, Yen Ting Lin, Abhishek Mallela, Ely F. Miller, Joshua Colvin, Abell T. Duprat, Ye Chen, William S. Hlavacek, Richard G. Posner
2022 B conf
Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks.
SIGDIAL
Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Dilek Hakkani-Tur
2022 J jnl
Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers.
CoRR
Yen Ting Lin, Robert B. Lowrie, Denis Aslangil, Yigit Subasi, Andrew T. Sornborger
2021 J jnl
Data-Driven Learning for the Mori-Zwanzig Formalism: A Generalization of the Koopman Learning Framework.
SIAM J. Appl. Dyn. Syst.
Yen Ting Lin, Yifeng Tian, Daniel Livescu, Marian Anghel
2020 J jnl
What needles do sparse neural networks find in nonlinear haystacks.
CoRR
Sylvain Sardy, Nicolas W. Hengartner, Nikolai Bobenko, Yen Ting Lin
2019 J jnl
Modeling cell line-specific recruitment of signaling proteins to the insulin-like growth factor 1 receptor.
PLoS Comput. Biol.
Keesha E. Erickson, Oleksii S. Rukhlenko, MD Shahinuzzaman, Kalina P. Slavkova, Yen Ting Lin, Ryan Suderman, Edward C. Stites, Marian Anghel, Richard G. Posner, Dipak Barua, Boris N. Kholodenko, William S. Hlavacek
2018 J jnl
Prediction of Optimal Drug Schedules for Controlling Autophagy.
CoRR
Afroza Shirin, Isaac S. Klickstein, Song Feng, Yen Ting Lin, William S. Hlavacek, Francesco Sorrentino
2015 — conf
Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease Progression.
CinC
Julie Eatock, Yen Ting Lin, Eugene T. Y. Chang, Tobias Galla, Richard H. Clayton