publications
2024
- PreprintApproaching Rate-Distortion Limits in Neural Compression with Lattice Transform CodingarXiv preprint arXiv:2403:07320 2024
- ICIPWrappingNet: Mesh Autoencoder via Deep Sphere DeformationIEEE International Conference on Image Processing (ICIP), Best Student Paper Award 2024
2023
- PreprintScore-Based Methods for Discrete Optimization in Deep LearningarXiv preprint arXiv:2310.09890 2023
- ISITFederated Neural Compression Under Heterogeneous DataIEEE International Symposium on Information Theory 2023
- ICLROn a Relation Between Rate-Distortion Theory and Optimal TransportInternational Conference on Learning Representations (Tiny Papers Track) 2023
2022
- ISITNeural Estimation of the Rate Distortion Function for Massive DatasetsIEEE International Symposium on Information Theory (ISIT) 2022
- L4DCRobust Graph Neural Networks via Probabilistic Lipschitz ConstraintsIn Proceedings of The 4th Annual Learning for Dynamics and Control Conference 2022
2021
- ICMLOut-of-Distribution Robustness in Deep Learning CompressionICML Workshop on Information-Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning 2021
- TWCCSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability FusionIEEE Transactions on Wireless Communications 2021
2019
- AllertonSiamese Neural Networks for Wireless Positioning and Channel ChartingIn 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2019