Eric Lei

According to our database, Eric Lei authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding.

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

CoRR, 2024

2023

Score-Based Methods for Discrete Optimization in Deep Learning.

Eric Lei, Arman Adibi, Hamed Hassani

CoRR, 2023

WrappingNet: Mesh Autoencoder via Deep Sphere Deformation.

Eric Lei, Muhammad Asad Lodhi, Jiahao Pang, Junghyun Ahn, Dong Tian

CoRR, 2023

Text + Sketch: Image Compression at Ultra Low Rates.

Eric Lei, Yigit Berkay Uslu, Hamed Hassani, Shirin Saeedi Bidokhti

CoRR, 2023

Federated Neural Compression Under Heterogeneous Data.

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

Proceedings of the IEEE International Symposium on Information Theory, 2023

On a Relation Between the Rate-Distortion Function and Optimal Transport.

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding.

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

IEEE J. Sel. Areas Inf. Theory, December, 2022

CSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability Fusion.

Emre Gönültas, Eric Lei, Jack Langerman, Howard Huang, Christoph Studer

IEEE Trans. Wirel. Commun., 2022

Robust Graph Neural Networks via Probabilistic Lipschitz Constraints.

Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti

Proceedings of the Learning for Dynamics and Control Conference, 2022

Neural Estimation of the Rate-Distortion Function for Massive Datasets.

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Out-of-Distribution Robustness in Deep Learning Compression.

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

CoRR, 2021

2020

Multi-View Relationships for Analytics and Inference.

Eric Lei

PhD thesis, 2020

2019

Siamese Neural Networks for Wireless Positioning and Channel Charting.

Eric Lei, Oscar Castañeda, Olav Tirkkonen, Tom Goldstein, Christoph Studer

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Novel Prediction Techniques Based on Clusterwise Linear Regression.

Igor Gitman, Jieshi Chen, Eric Lei, Artur Dubrawski

CoRR, 2018

2017

Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data.

Eric Lei, Kyle Miller, Artur Dubrawski

CoRR, 2017

2015

On a Competitive Secretary Problem.

Anna R. Karlin, Eric Lei

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015