Kristy Choi

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 25

Top Topics

Similarity Metric

Storage Devices

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Neural Network Compression for Noisy Storage Devices. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. CoRR (2023)
Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. Int. J. Geogr. Inf. Sci. 37 (11) (2023)
Kristy Choi, Chris Cundy, Sanjari Srivastava, Stefano Ermon
LMPriors: Pre-Trained Language Models as Task-Specific Priors. CoRR (2022)
Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon
ButterflyFlow: Building Invertible Layers with Butterfly Matrices. ICML (2022)
Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
Concrete Score Matching: Generalized Score Matching for Discrete Data. NeurIPS (2022)
Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon
ButterflyFlow: Building Invertible Layers with Butterfly Matrices. CoRR (2022)
Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
Concrete Score Matching: Generalized Score Matching for Discrete Data. CoRR (2022)
Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon
Towards a foundation model for geospatial artificial intelligence (vision paper). SIGSPATIAL/GIS (2022)
Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR (2022)
Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon
Density Ratio Estimation via Infinitesimal Classification. AISTATS (2022)
Saeid Asgari Taghanaki, Kristy Choi, Amir Hosein Khasahmadi, Anirudh Goyal
Robust Representation Learning via Perceptual Similarity Metrics. ICML (2021)
Kristy Choi, Madeline Liao, Stefano Ermon
Featurized Density Ratio Estimation. CoRR (2021)
Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon
Density Ratio Estimation via Infinitesimal Classification. CoRR (2021)
Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal
Robust Representation Learning via Perceptual Similarity Metrics. CoRR (2021)
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Neural Network Compression for Noisy Storage Devices. CoRR (2021)
Kristy Choi, Madeline Liao, Stefano Ermon
Featurized density ratio estimation. UAI (2021)
Mike Wu, Kristy Choi, Noah D. Goodman, Stefano Ermon
Meta-Amortized Variational Inference and Learning. AAAI (2020)
Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
Encoding Musical Style with Transformer Autoencoders. ICML (2020)
Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon
Fair Generative Modeling via Weak Supervision. ICML (2020)
Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon
Neural Joint Source-Channel Coding. ICML (2019)
Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse H. Engel
Encoding Musical Style with Transformer Autoencoders. CoRR (2019)
Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon
Fair Generative Modeling via Weak Supervision. CoRR (2019)
Kristy Choi, Mike Wu, Noah D. Goodman, Stefano Ermon
Meta-Amortized Variational Inference and Learning. CoRR (2019)
Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, Stefano Ermon
NECST: Neural Joint Source-Channel Coding. CoRR (2018)