Learning spatio-temporal patterns in the presence of input noise using phase-change memristors. - Stanislaw Wozniak; Tomas Tuma; Angeliki Pantazi; Evangelos Eleftheriou (ISCAS, 2016)

Review of advances in neural networks: Neural design technology stack. - Adela-Diana Almasi; Stanislaw Wozniak; Valentin Cristea; Yusuf Leblebici; Ton Engbersen (Neurocomputing, 2016)

Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns. - Severin Sidler; Angeliki Pantazi; Stanislaw Wozniak; Yusuf Leblebici; Evangelos Eleftheriou (ICANN (1), 2017)

Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture. - Stanislaw Wozniak; Angeliki Pantazi; Yusuf Leblebici; Evangelos Eleftheriou (ICRC, 2017)

Neuromorphic system with phase-change synapses for pattern learning and feature extraction. - Stanislaw Wozniak; Angeliki Pantazi; Yusuf Leblebici; Evangelos Eleftheriou (IJCNN, 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)

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 (IJCNN, 2018)

Deep Networks Incorporating Spiking Neural Dynamics. - Stanislaw Wozniak; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2018)

Online spatio-temporal learning in deep neural networks. - Thomas Bohnstingl; Stanislaw Wozniak; Wolfgang Maass 001; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2020)

Deep learning incorporating biologically inspired neural dynamics and in-memory computing. - Stanislaw Wozniak; Angeliki Pantazi; Thomas Bohnstingl; Evangelos Eleftheriou (Nat. Mach. Intell., 2020)

Learning in Deep Neural Networks Using a Biologically Inspired Optimizer. - Giorgia Dellaferrera; Stanislaw Wozniak; Giacomo Indiveri; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2021)

Towards efficient end-to-end speech recognition with biologically-inspired neural networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (CoRR, 2021)

Biologically Inspired Dynamics Enhance Deep Learning. - Stanislaw Wozniak; Thomas Bohnstingl; Angeliki Pantazi (ERCIM News, 2021)

Speech Recognition Using Biologically-Inspired Neural Networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (ICASSP, 2022)

MultiEmo: Language-Agnostic Sentiment Analysis. - Piotr Milkowski; Marcin Gruza; Przemyslaw Kazienko; Joanna Szolomicka; Stanislaw Wozniak; Jan Kocon (ICCS (1), 2022)

Multi-model Analysis of Language-Agnostic Sentiment Classification on MultiEmo Data. - Piotr Milkowski; Marcin Gruza; Przemyslaw Kazienko; Joanna Szolomicka; Stanislaw Wozniak; Jan Kocon (ICCCI, 2022)

Approximating Relu Networks by Single-Spike Computation. - Ana Stanojevic; Evangelos Eleftheriou; Giovanni Cherubini; Stanislaw Wozniak; Angeliki Pantazi; Wulfram Gerstner (ICIP, 2022)

On the visual analytic intelligence of neural networks. - Stanislaw Wozniak; Hlynur Jónsson; Giovanni Cherubini; Angeliki Pantazi; Evangelos Eleftheriou (CoRR, 2022)

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 001; Angeliki Pantazi (CVPR Workshops, 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; et al. (EMNLP (Findings), 2023)

Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems. - Kamil Kanclerz; Julita Bielaniewicz; Marcin Gruza; Jan Kocon; Stanislaw Wozniak; Przemyslaw Kazienko (ICDM (Workshops), 2023)

From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis. - Stanislaw Wozniak; Jan Kocon (ICDM (Workshops), 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; et al. (IRPS, 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; et al. (ISCAS, 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 (NLPerspectives@ECAI, 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; et al. (CoRR, 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)

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; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Time-encoded multiplication-free spiking neural networks: application to data classification tasks. - Ana Stanojevic; Giovanni Cherubini; Stanislaw Wozniak; Evangelos Eleftheriou (Neural Comput. Appl., 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, 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; et al. (Inf. Fusion, 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, 2023)

Online Spatio-Temporal Learning in Deep Neural Networks. - Thomas Bohnstingl; Stanislaw Wozniak; Angeliki Pantazi; Evangelos Eleftheriou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Personalized Large Language Models. - Stanislaw Wozniak; Bartlomiej Koptyra; Arkadiusz Janz; Przemyslaw Kazienko; Jan Kocon (ICDM (Workshops), 2024)

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. - Bo Peng; Daniel Goldstein; Quentin Anthony; Alon Albalak; Eric Alcaide; Stella Biderman; Eugene Cheah; Xingjian Du; Teddy Ferdinan; Haowen Hou; Przemyslaw Kazienko; Kranthi Kiran GV; et al. (CoRR, 2024)

Dynamic event-based optical identification and communication. - Axel von Arnim; Jules Lecomte; Naima Elosegui Borras; Stanislaw Wozniak; Angeliki Pantazi (Frontiers Neurorobotics, 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, 2024)

Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning. - Oleh Kolner; Thomas Ortner; Stanislaw Wozniak; Angeliki Pantazi (ICLR, 2025)

Live Demonstration: Improving efficiency of speech recognition with neuro-inspired units on AIU Spyre. - Yannick Schnider; Thomas Ortner; Stanislaw Wozniak; Alberto Mannari; Angeliki Pantazi (ISCAS, 2025)

Improving LLM-Based Recommender Systems with User-Controllable Profiles. - Stanislaw Wozniak; Jacek Duszenko; Jan Kocon; Przemyslaw Kazienko (WWW (Companion Volume), 2025)

FlowState: Sampling Rate Invariant Time Series Forecasting. - Lars Graf; Thomas Ortner; Stanislaw Wozniak; Angeliki Pantazi (CoRR, 2025)