RF-based fall monitoring using convolutional neural networks GH Lee*, Y Tian*, H He*, CY Hsu, D Katabi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
186 2018 Tight certificates of adversarial robustness for randomly smoothed classifiers GH Lee, Y Yuan, S Chang, TS Jaakkola
Neural Information Processing Systems (NeurIPS 2019), 2019
137 2019 Enabling identification and behavioral sensing in homes using radio reflections CY Hsu, R Hristov, GH Lee, M Zhao, D Katabi
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
100 2019 Dynamic sampling of sensor data GH Lee, SW Yang
US Patent App. 16/062,107, 2018
94 2018 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations (ICLR 2019), 2019
46 2019 Towards Robust, Locally Linear Deep Networks GH Lee, D Alvarez-Melis, TS Jaakkola
International Conference on Learning Representations (ICLR 2019), 2019
46 2019 MUSE: Modularizing Unsupervised Sense Embeddings GH Lee, YN Chen
Empirical Methods in Natural Language Processing (EMNLP 2017), 327-337, 2017
46 2017 J Teng, GH Lee, Y Yuan
35 2020 Cost-sensitive classification with deep learning using cost-aware pre-training YA Chung, GH Lee, SW Yang
US Patent 10,614,361, 2020
34 2020 Oblique Decision Trees from Derivatives of ReLU Networks GH Lee, TS Jaakkola
International Conference on Learning Representations (ICLR 2020), 2020
30 2020 Graph-Relational Domain Adaptation Z Xu, GH Lee, Y Wang, H Wang
International Conference on Learning Representations (ICLR 2022), 2022
29 2022 Functional Transparency for Structured Data: a Game-Theoretic Approach GH Lee, W Jin, D Alvarez-Melis, TS Jaakkola
International Conference on Machine Learning (ICML 2019), 2019
23 2019 Canonicalizing bigsmiles for polymers with defined backbones TS Lin, NJ Rebello, GH Lee, MA Morris, BD Olsen
ACS polymers Au 2 (6), 486-500, 2022
20 2022 Self-Supervised Learning of Appliance Usage CY Hsu, A Zeitoun, GH Lee, D Katabi, T Jaakkola
International Conference on Learning Representations (ICLR 2020), 2020
13 2020 Bayesian Modelling and Monte Carlo Inference for GAN H He, H Wang, GH Lee, Y Tian
The ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018
11 2018 LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda GH Lee, SD Lin
International Conference on Data Mining (ICDM 2015), 823-828, 2015
11 2015 Taxonomy-Structured Domain Adaptation T Liu, Z Xu, H He, GY Hao, GH Lee, H Wang
International Conference on Machine Learning (ICML 2023), 2023
8 2023 Game-Theoretic Interpretability for Temporal Modeling GH Lee, D Alvarez-Melis, TS Jaakkola
The 5th Workshop on Fairness, Accountability, and Transparency in Machine …, 2018
8 2018 Toward implicit sample noise modeling: Deviation-driven matrix factorization GH Lee, SW Yang, SD Lin
arXiv preprint arXiv:1610.09274, 2016
3 2016 Subject identification in behavioral sensing systems D Katabi, RH Hristov, CY Hsu, GH Lee, M Zhao
US Patent App. 16/860,591, 2020
2 2020 
Tommi JaakkolaMITПодтвержден адрес электронной почты в домене csail.mit.edu
