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| Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy | Feb 19, 2023 | Data CompressionFederated Learning | —Unverified | 0 |
| Trading Information between Latents in Hierarchical Variational Autoencoders | Feb 9, 2023 | Bayesian InferenceData Compression | CodeCode Available | 0 |
| Graph-Based Compensated Wavelet Lifting for Scalable Lossless Coding of Dynamic Medical Data | Feb 3, 2023 | Data CompressionMotion Compensation | —Unverified | 0 |
| Modality-Agnostic Variational Compression of Implicit Neural Representations | Jan 23, 2023 | Data Compression | —Unverified | 0 |
| An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA | Jan 17, 2023 | Data CompressionGPU | —Unverified | 0 |
| Graph-based compensated wavelet lifting for 3-D+t medical CT data | Jan 12, 2023 | Computed Tomography (CT)Data Compression | —Unverified | 0 |
| Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods | Dec 27, 2022 | Data Compression | —Unverified | 0 |
| GeneFormer: Learned Gene Compression using Transformer-based Context Modeling | Dec 16, 2022 | Data Compression | —Unverified | 0 |
| Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration | Nov 27, 2022 | Data CompressionDenoising | —Unverified | 0 |
