Steven Abreu

According to our database, Steven Abreu authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering.

Joris Postmus, Steven Abreu

CoRR, 2024

EmBARDiment: an Embodied AI Agent for Productivity in XR.

Riccardo Bovo, Steven Abreu, Karan Ahuja, Eric J. Gonzalez, Li-Te Cheng, Mar González-Franco

CoRR, 2024

Mamba-PTQ: Outlier Channels in Recurrent Large Language Models.

Alessandro Pierro, Steven Abreu

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

Q-S5: Towards Quantized State Space Models.

Steven Abreu, Jens Egholm Pedersen, Kade M. Heckel, Alessandro Pierro

CoRR, 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

Proceedings of the 24th International Conference on Transparent Optical Networks, 2024

Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware.

Steven Abreu, Jens Egholm Pedersen

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

Neuromorphic Intermediate Representation.

Steven Abreu, Felix Christian Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, Sadique Sheik

Dataset, July, 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, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik

CoRR, 2023

Concepts and Paradigms for Neuromorphic Programming.

Steven Abreu

CoRR, 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

Flow cytometry with event-based vision and spiking neuromorphic hardware.

Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman

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

2022

Hands-on reservoir computing: a tutorial for practical implementation.

Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner, Hans Kleemann

Neuromorph. Comput. Eng., 2022

2019

Automated Architecture Design for Deep Neural Networks.

Steven Abreu

CoRR, 2019