Karren D. Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Super Resolution Image Reconstruction

Image Synthesis

Causal Inference

Top Venues

Publications

Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP (2024)
Chien-Yu Lin, Qichen Fu, Thomas Merth, Karren D. Yang, Anurag Ranjan
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline. WACV (2024)
Max Müller-Eberstein, Dianna Yee, Karren D. Yang, Gautam Varma Mantena, Colin Lea
Hypernetworks for Personalizing ASR to Atypical Speech. CoRR (2024)
Chien-Yu Lin, Qichen Fu, Thomas Merth, Karren D. Yang, Anurag Ranjan
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline. CoRR (2023)
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CoRR (2023)
Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis. CVPR (2021)
Neha Prasad, Karren D. Yang, Caroline Uhler
Optimal Transport using GANs for Lineage Tracing. CoRR (2020)
Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler
Improved Conditional Flow Models for Molecule to Image Synthesis. CoRR (2020)
Karren D. Yang, Karthik Damodaran, Saradha Venkatachalapathy, Ali Soylemezoglu, G. V. Shivashankar, Caroline Uhler
Predicting cell lineages using autoencoders and optimal transport. PLoS Comput. Biol. 16 (4) (2020)
Karren D. Yang, Caroline Uhler
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. ICLR (Poster) (2019)
Karren D. Yang, Caroline Uhler
Multi-Domain Translation by Learning Uncoupled Autoencoders. CoRR (2019)
Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS (2019)
Karren D. Yang, Caroline Uhler
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. CoRR (2018)
Karren D. Yang, Abigail Katoff, Caroline Uhler
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions. ICML (2018)
Yuhao Wang, Liam Solus, Karren D. Yang, Caroline Uhler
Permutation-based Causal Inference Algorithms with Interventions. NIPS (2017)