Paul Haase

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Distributed Learning

Adaptive Binary Arithmetic Coding

Scalar Quantization

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Daniel Becking, Karsten Müller, Paul Haase, Heiner Kirchhoffer, Gerhard Tech, Wojciech Samek, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication. IEEE Trans. Multim. 26 (2024)
Paul Haase, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
Bitrate-Performance Optimized Model Training for the Neural Network Coding (NNC) Standard. ICIP (2023)
Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. CVPR Workshops (2022)
Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer
Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. CoRR (2022)
Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand
History Dependent Significance Coding for Incremental Neural Network Compression. ICIP (2022)
Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand
Encoder Optimizations For The NNR Standard On Neural Network Compression. ICIP (2021)
Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbán, Karsten Müller, Wojciech Samek, Detlev Marpe, Thomas Wiegand
Dependent Scalar Quantization For Neural Network Compression. ICIP (2020)
Paul Haase, Stefan Matlage, Heiner Kirchhoffer, Christian Bartnik, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
State-Based Multi-parameter Probability Estimation for Context-Based Adaptive Binary Arithmetic Coding. DCC (2020)
Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression. CoRR (2019)
Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. CoRR (2019)