Stanislaw Wozniak

According to our database, Stanislaw Wozniak authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88].

Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner

Neural Networks, January, 2024

Personalized Large Language Models.

Stanislaw Wozniak, Bartlomiej Koptyra, Arkadiusz Janz, Przemyslaw Kazienko, Jan Kocon

CoRR, 2024

2023

Online Spatio-Temporal Learning in Deep Neural Networks.

Thomas Bohnstingl, Stanislaw Wozniak, Angeliki Pantazi, Evangelos Eleftheriou

IEEE Trans. Neural Networks Learn. Syst., November, 2023

An exact mapping from ReLU networks to spiking neural networks.

Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner

Neural Networks, November, 2023

ChatGPT: Jack of all trades, master of none.

Jan Kocon, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydlo, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, Anna Kocon, Bartlomiej Koptyra, Wiktoria Mieleszczenko-Kowszewicz, Piotr Milkowski, Marcin Oleksy, Maciej Piasecki, Lukasz Radlinski, Konrad Wojtasik, Stanislaw Wozniak, Przemyslaw Kazienko

Inf. Fusion, November, 2023

Design of Time-Encoded Spiking Neural Networks in 7-nm CMOS Technology.

Sandro Widmer, Marcel A. Kossel, Giovanni Cherubini, Stanislaw Wozniak, Pier Andrea Francese, Ana Stanojevic, Matthias Brändli, Klaus Frick, Angeliki Pantazi

IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

Time-encoded multiplication-free spiking neural networks: application to data classification tasks.

Ana Stanojevic, Giovanni Cherubini, Stanislaw Wozniak, Evangelos Eleftheriou

Neural Comput. Appl., March, 2023

A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh.

Shubham Jain, Hsinyu Tsai, Ching-Tzu Chen, Ramachandran Muralidhar, Irem Boybat, Martin M. Frank, Stanislaw Wozniak, Milos Stanisavljevic, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Arvind Kumar, Vijay Narayanan, Geoffrey W. Burr

IEEE Trans. Very Large Scale Integr. Syst., 2023

Are training trajectories of deep single-spike and deep ReLU network equivalent?

Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu

CoRR, 2023

Dynamic Event-based Optical Identification and Communication.

Axel von Arnim, Jules Lecomte, Stanislaw Wozniak, Naima Elosegui Borras, Angeliki Pantazi

CoRR, 2023

Capturing Human Perspectives in NLP: Questionnaires, Annotations, and Biases.

Wiktoria Mieleszczenko-Kowszewicz, Kamil Kanclerz, Julita Bielaniewicz, Marcin Oleksy, Marcin Gruza, Stanislaw Wozniak, Ewa Dzieciol, Przemyslaw Kazienko, Jan Kocon

Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).

Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).

Martin M. Frank, Ning Li, Malte J. Rasch, Shubham Jain, Ching-Tzu Chen, Ramachandran Muralidhar, Jin-Ping Han, Vijay Narayanan, Timothy Philip, Kevin Brew, Andrew Simon, Iqbal Saraf, Nicole Saulnier, Irem Boybat, Stanislaw Wozniak, Abu Sebastian, Pritish Narayanan, Charles Mackin, An Chen, Hsinyu Tsai, Geoffrey W. Burr

Proceedings of the IEEE International Reliability Physics Symposium, 2023

From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis.

Stanislaw Wozniak, Jan Kocon

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems.

Kamil Kanclerz, Julita Bielaniewicz, Marcin Gruza, Jan Kocon, Stanislaw Wozniak, Przemyslaw Kazienko

Proceedings of the IEEE International Conference on Data Mining, 2023

RWKV: Reinventing RNNs for the Transformer Era.

Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Gv, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras.

Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

On the visual analytic intelligence of neural networks.

Stanislaw Wozniak, Hlynur Jónsson, Giovanni Cherubini, Angeliki Pantazi, Evangelos Eleftheriou

CoRR, 2022

Approximating Relu Networks by Single-Spike Computation.

Ana Stanojevic, Evangelos Eleftheriou, Giovanni Cherubini, Stanislaw Wozniak, Angeliki Pantazi, Wulfram Gerstner

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data.

Piotr Milkowski, Marcin Gruza, Przemyslaw Kazienko, Joanna Szolomicka, Stanislaw Wozniak, Jan Kocon

Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

MultiEmo: Language-Agnostic Sentiment Analysis.

Piotr Milkowski, Marcin Gruza, Przemyslaw Kazienko, Joanna Szolomicka, Stanislaw Wozniak, Jan Kocon

Proceedings of the Computational Science - ICCS 2022, 2022

Speech Recognition Using Biologically-Inspired Neural Networks.

Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Biologically Inspired Dynamics Enhance Deep Learning.

Stanislaw Wozniak, Thomas Bohnstingl, Angeliki Pantazi

ERCIM News, 2021

Towards efficient end-to-end speech recognition with biologically-inspired neural networks.

Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

CoRR, 2021

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer.

Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou

CoRR, 2021

2020

Deep learning incorporating biologically inspired neural dynamics and in-memory computing.

Stanislaw Wozniak, Angeliki Pantazi, Thomas Bohnstingl, Evangelos Eleftheriou

Nat. Mach. Intell., 2020

Online spatio-temporal learning in deep neural networks.

Thomas Bohnstingl, Stanislaw Wozniak, Wolfgang Maass, Angeliki Pantazi, Evangelos Eleftheriou

CoRR, 2020

2018

Deep Networks Incorporating Spiking Neural Dynamics.

Stanislaw Wozniak, Angeliki Pantazi, Evangelos Eleftheriou

CoRR, 2018

Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition.

Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs.

Stanislaw Wozniak, Angeliki Pantazi, Severin Sidler, Nikolaos Papandreou, Yusuf Leblebici, Evangelos Eleftheriou

IEEE Trans. Circuits Syst. II Express Briefs, 2017

Neuromorphic system with phase-change synapses for pattern learning and feature extraction.

Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture.

Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns.

Severin Sidler, Angeliki Pantazi, Stanislaw Wozniak, Yusuf Leblebici, Evangelos Eleftheriou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Review of advances in neural networks: Neural design technology stack.

Adela-Diana Almasi, Stanislaw Wozniak, Valentin Cristea, Yusuf Leblebici, Ton Engbersen

Neurocomputing, 2016

Learning spatio-temporal patterns in the presence of input noise using phase-change memristors.

Stanislaw Wozniak, Tomas Tuma, Angeliki Pantazi, Evangelos Eleftheriou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016