| 2024 | CISS | Wasserstein Distortion: Unifying Fidelity and Realism. | Yang Qiu, Aaron B. Wagner, Johannes Ball, Lucas Theis |
| 2024 | ICLR | The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric. | Daniel Severo, Lucas Theis, Johannes Ball |
| 2024 | PCS | Fourier Basis Density Model. | Alfredo De la Fuente, Saurabh Singh, Johannes Ball |
| 2023 | ICLR | A Rate-Distortion View on Model Updates. | Nicole Mitchell, Johannes Ball, Zachary Charles, Jakub Konecn |
| 2023 | ISIT | Learned Wyner-Ziv Compressors Recover Binning. | Ezgi zyilkan, Johannes Ball, Elza Erkip |
| 2022 | AISTATS | Optimal Compression of Locally Differentially Private Mechanisms. | Abhin Shah, Wei-Ning Chen, Johannes Ball, Peter Kairouz, Lucas Theis |
| 2022 | DCC | Hyperspectral remote sensing data compression with neural networks. | Sebasti Mijares i Verd, Johannes Ball, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernndez-Cabronero, Joan Serra-Sagrist |
| 2022 | ECCV | Neural Video Compression Using GANs for Detail Synthesis and Propagation. | Fabian Mentzer, Eirikur Agustsson, Johannes Ball, David Minnen, Nick Johnston, George Toderici |
| 2022 | ICLR | On the relation between statistical learning and perceptual distances. | Alexander Hepburn, Valero Laparra, Ral Santos-Rodrguez, Johannes Ball, Jesus Malo |
| 2022 | ITW | Do Neural Networks Compress Manifolds Optimally? | Sourbh Bhadane, Aaron B. Wagner, Johannes Ball |
| 2021 | DCC | Neural Networks Optimally Compress the Sawbridge. | Aaron B. Wagner, Johannes Ball |
| 2021 | PCS | 3D Scene Compression through Entropy Penalized Neural Representation Functions. | Thomas Bird, Johannes Ball, Saurabh Singh, Philip A. Chou |
| 2020 | CVPR | Scale-Space Flow for End-to-End Optimized Video Compression. | Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ball, Sung Jin Hwang, George Toderici |
| 2020 | ICIP | End-to-End Learning of Compressible Features. | Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ball, Abhinav Shrivastava, George Toderici |
| 2020 | ICLR | Scalable Model Compression by Entropy Penalized Reparameterization. | Deniz Oktay, Johannes Ball, Saurabh Singh, Abhinav Shrivastava |
| 2019 | ICLR | Integer Networks for Data Compression with Latent-Variable Models. | Johannes Ball, Nick Johnston, David Minnen |
| 2018 | ICIP | Towards A Semantic Perceptual Image Metric. | Troy T. Chinen, Johannes Ball, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici |
| 2018 | ICLR | Variational image compression with a scale hyperprior. | Johannes Ball, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston |
| 2018 | PCS | Efficient Nonlinear Transforms for Lossy Image Compression. | Johannes Ball |
| 2017 | ICLR | End-to-end Optimized Image Compression. | Johannes Ball, Valero Laparra, Eero P. Simoncelli |
| 2016 | PCS | End-to-end optimization of nonlinear transform codes for perceptual quality. | Johannes Ball, Valero Laparra, Eero P. Simoncelli |
| 2014 | ICIP | Learning sparse filter bank transforms with convolutional ICA. | Johannes Ball, Eero P. Simoncelli |
| 2012 | PCS | Subjective evaluation of texture similarity metrics for compression applications. | Johannes Ball |
| 2012 | PCS | Median trilateral loop filter for depth map video coding. | Fabian Jger, Johannes Ball |
| 2011 | ICIP | Improved entropy coding for component-based image coding. | Christian Feldmann, Johannes Ball |
| 2009 | ICIP | Component-based image coding using non-local means filtering and an autoregressive texture model. | Johannes Ball, Bastian Jurczyk, Aleksandar Stojanovic |
| 2007 | ICIP | Extended Texture Prediction for H.264/AVC Intra Coding. | Johannes Ball, Mathias Wien |