Yen Ting Lin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Stochastic Models

Top Venues

SIAM J. Appl. Dyn. Syst.

Publications

Imelda Trejo, Yen Ting Lin, Amanda Patrick, Nicolas W. Hengartner
Nonparametric Inference for the Reproductive Rate in Generalized Compartmental Models. SIAM J. Appl. Math. 84 (3) (2024)
Yifeng Tian, Nishant Panda, Yen Ting Lin
Liouville Flow Importance Sampler. CoRR (2024)
Javier E. Santos, Yen Ting Lin
Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules. CoRR (2023)
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. CoRR (2023)
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. ICML (2023)
Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. EACL (2023)
Yen Ting Lin, Yifeng Tian, Danny Perez, Daniel Livescu
Regression-Based Projection for Learning Mori-Zwanzig Operators. SIAM J. Appl. Dyn. Syst. 22 (4) (2023)
Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks. CoRR (2022)
Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Dilek Hakkani-Tur
Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks. SIGDIAL (2022)
Jacob Neumann, Yen Ting Lin, Abhishek Mallela, Ely F. Miller, Joshua Colvin, Abell T. Duprat, Ye Chen, William S. Hlavacek, Richard G. Posner
Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit. Bioinform. 38 (6) (2022)
Xiaoyu Ma, Sylvain Sardy, Nick Hengartner, Nikolai Bobenko, Yen Ting Lin
A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks. Stat. Comput. 32 (6) (2022)
Yen Ting Lin, Robert B. Lowrie, Denis Aslangil, Yigit Subasi, Andrew T. Sornborger
Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers. CoRR (2022)
Yen Ting Lin, Yifeng Tian, Daniel Livescu, Marian Anghel
Data-Driven Learning for the Mori-Zwanzig Formalism: A Generalization of the Koopman Learning Framework. SIAM J. Appl. Dyn. Syst. 20 (4) (2021)
Sylvain Sardy, Nicolas W. Hengartner, Nikolai Bobenko, Yen Ting Lin
What needles do sparse neural networks find in nonlinear haystacks. CoRR (2020)
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
Modeling cell line-specific recruitment of signaling proteins to the insulin-like growth factor 1 receptor. PLoS Comput. Biol. 15 (1) (2019)
Afroza Shirin, Isaac S. Klickstein, Song Feng, Yen Ting Lin, William S. Hlavacek, Francesco Sorrentino
Prediction of Optimal Drug Schedules for Controlling Autophagy. CoRR (2018)
Julie Eatock, Yen Ting Lin, Eugene T. Y. Chang, Tobias Galla, Richard H. Clayton
Assessing Measures of Atrial Fibrillation Clustering via Stochastic Models of Episode Recurrence and Disease Progression. CinC (2015)