Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
- Yannick Schnider
- Stanisław Woźniak
- et al.
- 2023
- CVPR 2023
Bio
Stanislaw Wozniak is a Staff Research Scientist at IBM Research - Zurich. He conducts research in the field of neuromorphic computing and neuro-inspired AI, taking inspiration from the neural networks in the brain to develop novel computing architectures and algorithms. He received his Ph.D. in 2017 from EPFL (École Polytechnique Fédérale de Lausanne) in Lausanne, Switzerland. In 2018, he received the Fritz Kutter Award of ETH Zurich and IBM Research Division Award for contributions in neuromorphic computing using phase-change memory devices. His current focus is on closing the gap between the theoretically appealing properties of Spiking Neural Networks and their applications. He has authored more than a dozen publications and contributed to filing of 15 patent applications.
Publications
Are training trajectories of deep single-spike and deep ReLU network equivalent?
- Ana Stanojevic
- Stanisław Woźniak
- et al.
- 2023
- arXiv
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
An exact mapping from ReLU networks to spiking neural networks
- Ana Stanojevic
- Stanisław Woźniak
- et al.
- 2022
- arXiv
Approximating Relu Networks by Single-Spike Computation
- Ana Stanojevic
- Evangelos Eleftheriou
- et al.
- 2022
- ICIP 2022
Towards efficient end-to-end speech recognition with biologically-inspired neural networks
- Thomas Bohnstingl
- Ayush Garg
- et al.
- 2021
- NeurIPS 2021
Biologically Inspired Dynamics Enhance Deep Learning
- Stanisław Woźniak
- Thomas Bohnstingl
- et al.
- 2021
- ERCIM News
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
- 2020
- Nature Machine Intelligence
Deep learning incorporating biologically-inspired neural dynamics
- 2019
- arXiv
Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns
- Severin Sidler
- Angeliki Pantazi
- et al.
- 2017
- ICANN 2017
Patents
- 24 Jan 2024
- JP
- 7427015
- 30 Oct 2023
- US
- 11803737
- 14 Aug 2023
- US
- 11727252
- 13 Mar 2023
- US
- 11604976
- 13 Dec 2022
- GB
- 2601415
- 12 Dec 2022
- US
- 11526735
- 29 Aug 2022
- US
- 11430524
- 10 May 2022
- GB
- 2596480
- 06 Dec 2021
- US
- 11195085
- 02 Aug 2021
- US
- 11080592
Projects
Neuromorphic Computing
Neuro-inspired AI to optimize learning and computing efficiency of next generation AI.
Blog posts
Biologically-inspired deep learning predicts chords of Bach
ResearchStanisław Woźniak5 minute read- AI
- AI Hardware
- Computer Science
Top collaborators
AP
Angeliki Pantazi
Principal Research Scientist, Manager Emerging Computing and Circuits
IB
Irem Boybat
In-memory computing, IBM Research | Zurich
VN
Vijay Narayanan
IBM Fellow & Strategist, Physics of AI. Senior Manager, PCM and AI Materials
MI
Masatoshi Ishii
Research Scientist