Single-cell map of diverse immune phenotypes in the breast tumor microenvironment E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ... Cell 174 (5), 1293-1308. e36, 2018 | 1637 | 2018 |
Wishbone identifies bifurcating developmental trajectories from single-cell data M Setty, MD Tadmor, S Reich-Zeliger, O Angel, TM Salame, P Kathail, ... Nature biotechnology 34 (6), 637-645, 2016 | 639 | 2016 |
Fair generative modeling via weak supervision K Choi, A Grover, T Singh, R Shu, S Ermon International Conference on Machine Learning, 1887-1898, 2020 | 131* | 2020 |
Neural joint source-channel coding K Choi, K Tatwawadi, A Grover, T Weissman, S Ermon International Conference on Machine Learning, 1182-1192, 2019 | 116 | 2019 |
Encoding musical style with transformer autoencoders K Choi, C Hawthorne, I Simon, M Dinculescu, J Engel International conference on machine learning, 1899-1908, 2020 | 110 | 2020 |
Towards a foundation model for geospatial artificial intelligence (vision paper) G Mai, C Cundy, K Choi, Y Hu, N Lao, S Ermon Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 58 | 2022 |
Meta-amortized variational inference and learning M Wu, K Choi, N Goodman, S Ermon Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6404-6412, 2020 | 37* | 2020 |
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages Y Hu, G Mai, C Cundy, K Choi, N Lao, W Liu, G Lakhanpal, RZ Zhou, ... International Journal of Geographical Information Science 37 (11), 2289-2318, 2023 | 36 | 2023 |
Density ratio estimation via infinitesimal classification K Choi, C Meng, Y Song, S Ermon International Conference on Artificial Intelligence and Statistics, 2552-2573, 2022 | 35 | 2022 |
NECST: neural joint source-channel coding K Choi, K Tatwawadi, T Weissman, S Ermon | 31 | 2018 |
Concrete score matching: Generalized score matching for discrete data C Meng, K Choi, J Song, S Ermon Advances in Neural Information Processing Systems 35, 34532-34545, 2022 | 28 | 2022 |
Lmpriors: Pre-trained language models as task-specific priors K Choi, C Cundy, S Srivastava, S Ermon arXiv preprint arXiv:2210.12530, 2022 | 25 | 2022 |
Robust representation learning via perceptual similarity metrics SA Taghanaki, K Choi, AH Khasahmadi, A Goyal International Conference on Machine Learning, 10043-10053, 2021 | 25 | 2021 |
Featurized density ratio estimation K Choi, M Liao, S Ermon Uncertainty in Artificial Intelligence, 172-182, 2021 | 20 | 2021 |
Neural network compression for noisy storage devices B Isik, K Choi, X Zheng, T Weissman, S Ermon, HSP Wong, A Alaghi ACM Transactions on Embedded Computing Systems 22 (3), 1-29, 2023 | 11* | 2023 |
Butterflyflow: Building invertible layers with butterfly matrices C Meng, L Zhou, K Choi, T Dao, S Ermon International Conference on Machine Learning, 15360-15375, 2022 | 11 | 2022 |
Single-cell immune map of breast carcinoma reveals diverse phenotypic states driven by the tumor microenvironment E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ... | 1 | |
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness SA Taghanaki, A Gholami, F Khani, K Choi, L Tran, R Zhang, A Khani arXiv preprint arXiv:2207.01548, 2022 | | 2022 |
Learning Task-Relevant Features via Contrastive Input Morphing S Asgari, K Choi, AH Khasahmadi, A Goyal | | |