Christiam F. Frasser

16 papers C 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
A 1.12 TOPS/W 180 nm Stochastic Computing-Based Neuromorphic Circuit.
DCIS
Josep L. Rosselló, Christiam F. Frasser, Arnau Salas-Barenys, Joan Cesari, Vincent Canals, Lluc Crespí-Castañer, Joan Font-Rosselló, Alejandro Morán, Miquel Roca
2025 — conf
A Comparative Analysis of Bipolar and Sign-Magnitude Stochastic Computing Approaches in Quantized Neural Networks.
DCIS
Alejandro Morán, Lluc Crespí-Castañer, Christiam F. Frasser, Joan Font-Rosselló, Vincent Canals, Miquel Roca, Josep L. Rosselló
2023 — conf
Approximate arithmetic aware training for stochastic computing neural networks.
DCIS
Christiam F. Frasser, Alejandro Morán, Vincent Canals, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2023 J jnl
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications.
IEEE Trans. Neural Networks Learn. Syst.
Christiam F. Frasser, Pablo Linares-Serrano, Iván Díez de los Ríos, Alejandro Morán, Erik S. Skibinsky-Gitlin, Joan Font-Rosselló, Vincent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
2023 J jnl
Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vincent Canals, Miquel Roca
2022 C conf
Hardware Implementation of Stochastic Computing-based Morphological Neural Systems.
ISCAS
Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vicent Canals, Miquel Roca
2022 — conf
Improving efficiency of a Stochastic Computing-based Morphological Neural Network.
DCIS
Erik S. Skibinsky-Gitlin, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Vicens Canals, Miquel Roca, Josep L. Rosselló
2021 — conf
Exploiting Correlation in Stochastic Computing based Deep Neural Networks.
DCIS
Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán, Joan Font-Rosselló, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
2021 — conf
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning.
DCIS
Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christiam F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2020 J jnl
Efficient parallel implementation of reservoir computing systems.
Neural Comput. Appl.
Miquel L. Alomar, Erik S. Skibinsky-Gitlin, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2020 J jnl
Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata.
IEEE Trans. Computers
Alejandro Morán, Christiam F. Frasser, Miquel Roca, Josep L. Rosselló
2020 J jnl
Fully-parallel Convolutional Neural Network Hardware.
CoRR
Christiam F. Frasser, Pablo Linares-Serrano, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
2020 J jnl
Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening.
CoRR
Christiam F. Frasser, Carola de Benito, Vincent Canals, Miquel Roca, Pedro J. Ballester, Josep L. Rosselló
2018 — conf
Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization.
ICAISC (1)
Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2018 J jnl
Reservoir Computing Hardware with Cellular Automata.
CoRR
Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló
2017 J jnl
Noise tolerant probabilistic logic for statistical pattern recognition applications.
Integr. Comput. Aided Eng.
Vicent Canals, Christiam F. Frasser, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Eugenio García-Moreno, Josep L. Rosselló