Bernd Waschneck

Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions

Gerhard Rigoll, Ludwig Kurzinger, Simon Mittermaier, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep reinforcement learning for semiconductor production scheduling

Lenz Belzner, Thomas Bauernhansl, Alexander Knapp, 2018, 2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC).

Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints

Gisela Lanza, Andreas Kuhnle, Bernd Waschneck, 2020, Production Engineering.

Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing

Thomas Bauernhansl, Bernd Waschneck, Andreas Kyek, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Optimization of global production scheduling with deep reinforcement learning

Lenz Belzner, Thomas Bauernhansl, Bernd Waschneck, 2018 .

Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry

Thomas Bauernhansl, Bernd Waschneck, Andreas Kyek, 2016, SAMI@iKNOW.

Autonome Entscheidungsfindung in der Produktionssteuerung komplexer Werkstattfertigungen

Bernd Waschneck, 2020 .

Compiler Toolchains for Deep Learning Workloads on Embedded Platforms pdf

Akash Kumar, Bernd Waschneck, Max Sponner, 2021, ArXiv.

dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference

Akash Kumar, Bernd Waschneck, Elias Trommer, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks

Bernd Waschneck, Christian Mayr, Binyi Wu, 2021, EANN.

Unified Frontend and Backend Industrie 4 . 0 Roadmap for Semiconductor Manufacturing

Bernd Waschneck, 2017 .