{"total":79,"rows":[{"id":"2203.09481","title":"Diffusion Probabilistic Modeling for Video Generation","created":"2022-03-16","cited_by_count":238,"area":"diffusion"},{"id":"2207.09353","title":"Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications","created":"2022-07-19","cited_by_count":175,"area":null},{"id":"2209.06950","title":"Lossy Image Compression with Conditional Diffusion Models","created":"2022-09-14","cited_by_count":170,"area":"diffusion"},{"id":"2206.08889","title":"Lossy Compression with Gaussian Diffusion","created":"2022-06-17","cited_by_count":90,"area":"diffusion"},{"id":"2212.13824","title":"Multi-Realism Image Compression with a Conditional Generator","created":"2022-12-28","cited_by_count":80,"area":null},{"id":"2206.07307","title":"VCT: A Video Compression Transformer","created":"2022-06-15","cited_by_count":74,"area":null},{"id":"2402.00809","title":"Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI","created":"2024-02-01","cited_by_count":62,"area":null},{"id":"2307.15421","title":"MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression","created":"2023-07-28","cited_by_count":58,"area":null},{"id":"2312.02753","title":"C3: High-performance and low-complexity neural compression from a single image or video","created":"2023-12-05","cited_by_count":55,"area":null},{"id":"2505.07538","title":"Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning","created":"2025-05-12","cited_by_count":33,"area":"lr"},{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2204.07172","title":"Diagnosing and Fixing Manifold Overfitting in Deep Generative Models","created":"2022-04-14","cited_by_count":28,"area":null},{"id":"2304.06244","title":"Computationally-Efficient Neural Image Compression with Shallow Decoders","created":"2023-04-13","cited_by_count":23,"area":null},{"id":"2301.09479","title":"Modality-Agnostic Variational Compression of Implicit Neural Representations","created":"2023-01-23","cited_by_count":22,"area":null},{"id":"2409.20255","title":"PerCo (SD): Open Perceptual Compression","created":"2024-09-30","cited_by_count":18,"area":"diffusion"},{"id":"2304.12512","title":"Semantic Compression With Large Language Models","created":"2023-04-25","cited_by_count":17,"area":null},{"id":"2203.08875","title":"SC2 Benchmark: Supervised Compression for Split Computing","created":"2022-03-16","cited_by_count":15,"area":null},{"id":"2304.07313","title":"M2T: Masking Transformers Twice for Faster Decoding","created":"2023-04-14","cited_by_count":14,"area":null},{"id":"2308.02620","title":"Frequency Disentangled Features in Neural Image Compression","created":"2023-08-04","cited_by_count":14,"area":null},{"id":"2309.03244","title":"EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation","created":"2023-09-06","cited_by_count":14,"area":null},{"id":"2207.04895","title":"Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility","created":"2022-07-11","cited_by_count":12,"area":null},{"id":"2302.10681","title":"FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing","created":"2023-02-21","cited_by_count":12,"area":null},{"id":"2310.20682","title":"Compression with Exact Error Distribution for Federated Learning","created":"2023-10-31","cited_by_count":11,"area":null},{"id":"2403.04493","title":"What makes an image realistic?","created":"2024-03-07","cited_by_count":10,"area":null},{"id":"2412.10935","title":"Progressive Compression with Universally Quantized Diffusion Models","created":"2024-12-14","cited_by_count":10,"area":"diffusion"},{"id":"2503.01505","title":"Lossy Neural Compression for Geospatial Analytics: A Review","created":"2025-03-03","cited_by_count":10,"area":null},{"id":"2302.04534","title":"Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes","created":"2023-02-09","cited_by_count":9,"area":null},{"id":"2210.06478","title":"Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory","created":"2022-10-12","cited_by_count":8,"area":null},{"id":"2311.14208","title":"ECRF: Entropy-Constrained Neural Radiance Fields Compression with Frequency Domain Optimization","created":"2023-11-23","cited_by_count":8,"area":null},{"id":"2403.07320","title":"Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding","created":"2024-03-12","cited_by_count":8,"area":null},{"id":"2406.06165","title":"Generalized Nested Latent Variable Models for Lossy Coding applied to Wind Turbine Scenarios","created":"2024-06-10","cited_by_count":7,"area":null},{"id":"2403.16677","title":"FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression","created":"2024-03-25","cited_by_count":6,"area":null},{"id":"2310.18908","title":"Estimating the Rate-Distortion Function by Wasserstein Gradient Descent","created":"2023-10-29","cited_by_count":5,"area":null},{"id":"2402.00861","title":"Evaluating Large Language Models for Generalization and Robustness via Data Compression","created":"2024-02-01","cited_by_count":5,"area":null},{"id":"2512.17090","title":"How to Square Tensor Networks and Circuits Without Squaring Them","created":"2025-12-18","cited_by_count":5,"area":null},{"id":"2406.08943","title":"Neural NeRF Compression","created":"2024-06-13","cited_by_count":4,"area":null},{"id":"2407.13493","title":"Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law","created":"2024-07-18","cited_by_count":4,"area":null},{"id":"2212.13468","title":"Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods","created":"2022-12-27","cited_by_count":3,"area":null},{"id":"2403.16258","title":"Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis","created":"2024-03-24","cited_by_count":3,"area":"diffusion"},{"id":"2409.05490","title":"A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression","created":"2024-09-09","cited_by_count":3,"area":null},{"id":"2409.12446","title":"Neural Networks Generalize on Low Complexity Data","created":"2024-09-19","cited_by_count":3,"area":null},{"id":"2501.02521","title":"Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization","created":"2025-01-05","cited_by_count":3,"area":null},{"id":"2503.03753","title":"Generative Diffusion Model-based Compression of MIMO CSI","created":"2025-02-07","cited_by_count":3,"area":"diffusion"},{"id":"2305.09705","title":"Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs","created":"2023-05-16","cited_by_count":2,"area":null},{"id":"2306.15242","title":"Positional Embedding-Aware Activations","created":"2023-06-27","cited_by_count":2,"area":null},{"id":"2402.15345","title":"Fourier Basis Density Model","created":"2024-02-23","cited_by_count":2,"area":null},{"id":"2404.03696","title":"Convolutional variational autoencoders for secure lossy image compression in remote sensing","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2406.14171","title":"Ranking LLMs by compression","created":"2024-06-20","cited_by_count":2,"area":null},{"id":"2412.07883","title":"On Faster Marginalization with Squared Circuits via Orthonormalization","created":"2024-12-10","cited_by_count":2,"area":null},{"id":"2503.17558","title":"Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2503.22015","title":"DeCompress: Denoising via Neural Compression","created":"2025-03-27","cited_by_count":2,"area":null},{"id":"2507.17221","title":"Dataset Distillation as Data Compression: A Rate-Utility Perspective","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2601.20742","title":"Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification","created":"2026-01-28","cited_by_count":2,"area":null},{"id":"2309.10791","title":"Multi-spectral Entropy Constrained Neural Compression of Solar Imagery","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2310.00180","title":"MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2310.00559","title":"CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression","created":"2023-10-01","cited_by_count":1,"area":null},{"id":"2310.19653","title":"A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data & Overparameterization?","created":"2023-10-30","cited_by_count":1,"area":null},{"id":"2311.02855","title":"Neural-based Compression Scheme for Solar Image Data","created":"2023-11-06","cited_by_count":1,"area":null},{"id":"2406.11354","title":"Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression","created":"2024-06-17","cited_by_count":1,"area":null},{"id":"2408.03842","title":"Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression","created":"2024-08-07","cited_by_count":1,"area":null},{"id":"2410.15075","title":"SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation","created":"2024-10-19","cited_by_count":1,"area":null},{"id":"2411.16727","title":"An Information-Theoretic Regularizer for Lossy Neural Image Compression","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2503.19817","title":"Bitstream Collisions in Neural Image Compression via Adversarial Perturbations","created":"2025-03-25","cited_by_count":1,"area":null},{"id":"2506.12693","title":"Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework","created":"2025-06-15","cited_by_count":1,"area":null},{"id":"2510.11234","title":"Neural Weight Compression for Language Models","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2601.18932","title":"Advances in Diffusion-Based Generative Compression","created":"2026-01-26","cited_by_count":1,"area":"diffusion"},{"id":"2606.16253","title":"Learned Image Compression for Vision-Language-Action Models","created":"2026-06-15","cited_by_count":1,"area":"vla"},{"id":"2308.11068","title":"Topological Graph Signal Compression","created":"2023-08-21","cited_by_count":0,"area":null},{"id":"2309.10784","title":"Context-Aware Neural Video Compression on Solar Dynamics Observatory","created":"2023-09-19","cited_by_count":0,"area":null},{"id":"2310.00568","title":"Image Data Hiding in Neural Compressed Latent Representations","created":"2023-10-01","cited_by_count":0,"area":null},{"id":"2401.07200","title":"Exploring Compressed Image Representation as a Perceptual Proxy: A Study","created":"2024-01-14","cited_by_count":0,"area":null},{"id":"2407.15730","title":"Neural-based Video Compression on Solar Dynamics Observatory Images","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2410.05189","title":"Variable Resolution Pixel Quantization for Low Power Machine Vision Application on Edge","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2503.09368","title":"PerCoV2: Ultra-Low Bit-Rate Perceptual Image Compression via Query-Based 1D Multimodal Image Tokens","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2506.08306","title":"AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2512.24463","title":"Spectral and Spatial Graph Learning for Multispectral Solar Image Compression","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2601.05639","title":"Efficient training for compact compression models via sequential distillation","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2609.21309","title":"An Introduction to Compression-Based Machine Learning","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.36357","title":"HyperZip: Efficient Data Compression through Personalized Diffusion LLMs with Hypernetworks","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}