Karren D. Yang

According to our database, Karren D. Yang authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Hypernetworks for Personalizing ASR to Atypical Speech.

Max Müller-Eberstein, Dianna Yee, Karren D. Yang, Gautam Varma Mantena, Colin Lea

Trans. Assoc. Comput. Linguistics, 2024

FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline.

Chien-Yu Lin, Qichen Fu, Thomas Merth, Karren D. Yang, Anurag Ranjan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models.

Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2024

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications.

Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Novel-View Acoustic Synthesis from 3D Reconstructed Rooms.

Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang

CoRR, 2023

Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis.

Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis.

Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Predicting cell lineages using autoencoders and optimal transport.

Karren D. Yang, Karthik Damodaran, Saradha Venkatachalapathy, Ali Soylemezoglu, G. V. Shivashankar, Caroline Uhler

PLoS Comput. Biol., 2020

Optimal Transport using GANs for Lineage Tracing.

Neha Prasad, Karren D. Yang, Caroline Uhler

CoRR, 2020

Improved Conditional Flow Models for Molecule to Image Synthesis.

Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler

CoRR, 2020

2019

Multi-Domain Translation by Learning Uncoupled Autoencoders.

Karren D. Yang, Caroline Uhler

CoRR, 2019

Scalable Unbalanced Optimal Transport using Generative Adversarial Networks.

Karren D. Yang, Caroline Uhler

Proceedings of the 7th International Conference on Learning Representations, 2019

ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery.

Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions.

Karren D. Yang, Abigail Katoff, Caroline Uhler

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Permutation-based Causal Inference Algorithms with Interventions.

Yuhao Wang, Liam Solus, Karren D. Yang, Caroline Uhler

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017