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Karren D. Yang
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2020 – today
- 2024
- [c8]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: 12326-12330 - [c7]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: 6024-6033 - [i10]Max Müller-Eberstein, Dianna Yee, Karren D. Yang, Gautam Varma Mantena, Colin Lea:
Hypernetworks for Personalizing ASR to Atypical Speech. CoRR abs/2406.04240 (2024) - 2023
- [c6]Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel:
Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. ICASSP 2023: 1-5 - [i9]Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel:
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis. CoRR abs/2303.14885 (2023) - [i8]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. CoRR abs/2309.10707 (2023) - [i7]Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang:
Novel-View Acoustic Synthesis from 3D Reconstructed Rooms. CoRR abs/2310.15130 (2023) - [i6]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 abs/2311.18168 (2023) - [i5]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 abs/2312.11537 (2023) - 2021
- [c5]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: 6688-6698 - 2020
- [j1]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) - [i4]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 abs/2006.08532 (2020) - [i3]Neha Prasad, Karren D. Yang, Caroline Uhler:
Optimal Transport using GANs for Lineage Tracing. CoRR abs/2007.12098 (2020)
2010 – 2019
- 2019
- [c4]Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam
, Caroline Uhler:
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS 2019: 3400-3409 - [c3]Karren D. Yang, Caroline Uhler:
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. ICLR (Poster) 2019 - [i2]Karren D. Yang, Caroline Uhler:
Multi-Domain Translation by Learning Uncoupled Autoencoders. CoRR abs/1902.03515 (2019) - 2018
- [c2]Karren D. Yang, Abigail Katoff, Caroline Uhler:
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions. ICML 2018: 5537-5546 - [i1]Karren D. Yang, Caroline Uhler:
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks. CoRR abs/1810.11447 (2018) - 2017
- [c1]Yuhao Wang, Liam Solus, Karren D. Yang, Caroline Uhler:
Permutation-based Causal Inference Algorithms with Interventions. NIPS 2017: 5822-5831
Coauthor Index
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last updated on 2024-08-08 20:12 CEST by the dblp team
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