DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression. - Simon Wiedemann; Heiner Kirchhoffer; Stefan Matlage; Paul Haase; Arturo Marbán; Talmaj Marinc; David Neumann; Ahmed Osman; Detlev Marpe; Heiko Schwarz; Thomas Wiegand 001; Wojciech Samek (CoRR, 2019)

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. - Simon Wiedemann; Heiner Kirchhoffer; Stefan Matlage; Paul Haase; Arturo Marbán; Talmaj Marinc; David Neumann; Tung Nguyen 001; Ahmed Osman; Detlev Marpe; Heiko Schwarz; Thomas Wiegand 001; et al. (CoRR, 2019)

State-Based Multi-parameter Probability Estimation for Context-Based Adaptive Binary Arithmetic Coding. - Paul Haase; Stefan Matlage; Heiner Kirchhoffer; Christian Bartnik; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (DCC, 2020)

Dependent Scalar Quantization For Neural Network Compression. - Paul Haase; Heiko Schwarz; Heiner Kirchhoffer; Simon Wiedemann; Talmaj Marinc; Arturo Marbán; Karsten Müller 001; Wojciech Samek; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2020)

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. - Simon Wiedemann; Heiner Kirchhoffer; Stefan Matlage; Paul Haase; Arturo Marbán; Talmaj Marinc; David Neumann; Tung Nguyen 001; Heiko Schwarz; Thomas Wiegand 001; Detlev Marpe; Wojciech Samek (IEEE J. Sel. Top. Signal Process., 2020)

Encoder Optimizations For The NNR Standard On Neural Network Compression. - Paul Haase; Daniel Becking; Heiner Kirchhoffer; Karsten Müller 001; Heiko Schwarz; Wojciech Samek; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2021)

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. - Daniel Becking; Heiner Kirchhoffer; Gerhard Tech; Paul Haase; Karsten Müller 001; Heiko Schwarz; Wojciech Samek (CVPR Workshops, 2022)

History Dependent Significance Coding for Incremental Neural Network Compression. - Gerhard Tech; Paul Haase; Daniel Becking; Heiner Kirchhoffer; Karsten Müller 001; Jonathan Pfaff; Heiko Schwarz; Wojciech Samek; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2022)

Overview of the Neural Network Compression and Representation (NNR) Standard. - Heiner Kirchhoffer; Paul Haase; Wojciech Samek; Karsten Müller 001; Hamed Rezazadegan Tavakoli; Francesco Cricri; Emre B. Aksu; Miska M. Hannuksela; Wei Jiang 001; Wei Wang 311; Shan Liu 001; Swayambhoo Jain; et al. (IEEE Trans. Circuits Syst. Video Technol., 2022)

Bitrate-Performance Optimized Model Training for the Neural Network Coding (NNC) Standard. - Paul Haase; Jonathan Pfaff; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2023)

Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication. - Daniel Becking; Karsten Müller 001; Paul Haase; Heiner Kirchhoffer; Gerhard Tech; Wojciech Samek; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (IEEE Trans. Multim., 2024)