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Eric Lei
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2020 – today
- 2024
- [i13]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding. CoRR abs/2403.07320 (2024) - 2023
- [c6]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. Tiny Papers @ ICLR 2023 - [c5]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Federated Neural Compression Under Heterogeneous Data. ISIT 2023: 525-530 - [i12]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Federated Neural Compression Under Heterogeneous Data. CoRR abs/2305.16416 (2023) - [i11]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. CoRR abs/2307.00246 (2023) - [i10]Eric Lei, Yigit Berkay Uslu, Hamed Hassani, Shirin Saeedi Bidokhti:
Text + Sketch: Image Compression at Ultra Low Rates. CoRR abs/2307.01944 (2023) - [i9]Eric Lei, Muhammad Asad Lodhi, Jiahao Pang, Junghyun Ahn, Dong Tian:
WrappingNet: Mesh Autoencoder via Deep Sphere Deformation. CoRR abs/2308.15413 (2023) - [i8]Eric Lei, Arman Adibi, Hamed Hassani:
Score-Based Methods for Discrete Optimization in Deep Learning. CoRR abs/2310.09890 (2023) - 2022
- [j2]Eric Lei
, Hamed Hassani
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. IEEE J. Sel. Areas Inf. Theory 3(4): 674-686 (2022) - [j1]Emre Gönültas
CSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability Fusion. IEEE Trans. Wirel. Commun. 21(4): 2162-2176 (2022) - [c4]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function for Massive Datasets. ISIT 2022: 608-613 - [c3]Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti:
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints. L4DC 2022: 1073-1085 - [i7]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. CoRR abs/2204.01612 (2022) - 2021
- [i6]Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Out-of-Distribution Robustness in Deep Learning Compression. CoRR abs/2110.07007 (2021) - [i5]Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti:
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints. CoRR abs/2112.07575 (2021) - 2020
- [b1]Eric Lei:
Multi-View Relationships for Analytics and Inference. Carnegie Mellon University, USA, 2020 - [i4]Emre Gönültas, Eric Lei, Jack Langerman, Howard Huang, Christoph Studer:
CSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability Fusion. CoRR abs/2009.02798 (2020)
2010 – 2019
- 2019
- [c2]Eric Lei, Oscar Castañeda
Siamese Neural Networks for Wireless Positioning and Channel Charting. Allerton 2019: 200-207 - [i3]Eric Lei, Oscar Castañeda, Olav Tirkkonen, Tom Goldstein, Christoph Studer:
Siamese Neural Networks for Wireless Positioning and Channel Charting. CoRR abs/1909.13355 (2019) - 2018
- [i2]Igor Gitman, Jieshi Chen
Novel Prediction Techniques Based on Clusterwise Linear Regression. CoRR abs/1804.10742 (2018) - 2017
- [i1]Eric Lei, Kyle Miller, Artur Dubrawski:
Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data. CoRR abs/1709.05602 (2017) - 2015
- [c1]Anna R. Karlin, Eric Lei:
On a Competitive Secretary Problem. AAAI 2015: 944-950
Coauthor Index
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