Automated Architecture Design for Deep Neural Networks. - Steven Abreu (CoRR, 2019)

Hands-on reservoir computing: a tutorial for practical implementation. - Matteo Cucchi; Steven Abreu; Giuseppe Ciccone; Daniel Brunner; Hans Kleemann (Neuromorph. Comput. Eng., 2022)

Flow cytometry with event-based vision and spiking neuromorphic hardware. - Steven Abreu; Muhammed Gouda; Alessio Lugnan; Peter Bienstman (CVPR Workshops, 2023)

Training a spiking neural network on an event-based label-free flow cytometry dataset. - Muhammed Gouda; Steven Abreu; Alessio Lugnan; Peter Bienstman (CoRR, 2023)

Concepts and Paradigms for Neuromorphic Programming. - Steven Abreu (CoRR, 2023)

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. - Jens Egholm Pedersen; Steven Abreu; Matthias Jobst; Gregor Lenz; Vittorio Fra; Felix Christian Bauer; Dylan R. Muir; Peng Zhou 017; Bernhard Vogginger; Kade Heckel; Gianvito Urgese; Sadasivan Shankar; et al. (CoRR, 2023)

Neuromorphic Intermediate Representation. - Steven Abreu; Felix Christian Bauer; Jason Eshraghian; Matthias Jobst; Gregor Lenz; Jens Egholm Pedersen; Sadique Sheik (Zenodo, 2023)

Neuromorphic Intermediate Representation. - Steven Abreu; Felix Christian Bauer; Jason Eshraghian; Matthias Jobst; Gregor Lenz; Jens Egholm Pedersen; Sadique Sheik (Zenodo, 2023)

Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware. - Steven Abreu; Jens Egholm Pedersen (ICONS, 2024)

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets. - Muhammed Gouda; Steven Abreu; Peter Bienstman (ICTON, 2024)

Q-S5: Towards Quantized State Space Models. - Steven Abreu; Jens Egholm Pedersen; Kade M. Heckel; Alessandro Pierro (CoRR, 2024)

PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos. - Steven Abreu; Tiffany D. Do; Karan Ahuja; Eric J. Gonzalez; Lee Payne; Daniel McDuff; Mar González-Franco (CoRR, 2024)

Mamba-PTQ: Outlier Channels in Recurrent Large Language Models. - Alessandro Pierro; Steven Abreu (CoRR, 2024)

Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering. - Joris Postmus; Steven Abreu (CoRR, 2024)

Neuromorphic Intermediate Representation. - Jens Egholm Pedersen; Steven Abreu; Matthias Jobst; Gregor Lenz; Vittorio Fra; Felix Bauer; Dylan Richard Muir; Peng Zhou 017; Bernhard Vogginger; Kade M. Heckel; Sadasivan Shankar; Terrence C. Stewart; et al. (Zenodo, 2024)

Algorithm-Hardware Co-Design for Ultra-Low-Power Large Language Models. - Steven Abreu; Jason Eshraghian (ISCAS, 2025)

EmBARDiment: an Embodied AI Agent for Productivity in XR. - Riccardo Bovo; Steven Abreu; Karan Ahuja; Eric J. Gonzalez; Li-Te Cheng; Mar González-Franco (VR, 2025)

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity. - Alessandro Pierro; Steven Abreu; Jonathan Timcheck; Philipp Stratmann; Andreas Wild; Sumit Bam Shrestha (CoRR, 2025)

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2. - Steven Abreu; Sumit Bam Shrestha; Rui-Jie Zhu 003; Jason Eshraghian (CoRR, 2025)

A Systematic Analysis of Hybrid Linear Attention. - Dustin Wang; Rui-Jie Zhu 003; Steven Abreu; Yong Shan; Taylor Kergan; Yuqi Pan; Yuhong Chou; Zheng Li; Ge Zhang 009; Wenhao Huang 001; Jason Eshraghian (CoRR, 2025)