| EPIC: An energy-efficient, high-performance GPGPU computing research infrastructure M Själander, M Jahre, G Tufte, N Reissmann arXiv preprint arXiv:1912.05848, 2019 | 225 | 2019 |
| Evolution-in-materio: evolving computation in materials JF Miller, SL Harding, G Tufte Evolutionary Intelligence 7 (1), 49-67, 2014 | 130 | 2014 |
| Shrinking the Genotype: L-systems for EHW? PC Haddow, G Tufte, P van Remortel International conference on evolvable systems, 128-139, 2001 | 116 | 2001 |
| Bridging the genotype-phenotype mapping for digital FPGAs PC Haddow, G Tufte Proceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001, 109-115, 2001 | 109 | 2001 |
| Prototyping a GA pipeline for complete hardware evolution G Tufte, PC Haddow Proceedings of the first NASA/DoD workshop on evolvable hardware, 18-25, 1999 | 85 | 1999 |
| An evolvable hardware FPGA for adaptive hardware PC Haddow, G Tufte Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No …, 2000 | 83 | 2000 |
| Computation in artificial spin ice JH Jensen, E Folven, G Tufte Artificial Life Conference Proceedings, 15-22, 2018 | 79 | 2018 |
| Evolving an adaptive digital filter G Tufte, PC Haddow Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware, 143-150, 2000 | 69 | 2000 |
| Towards development on a silicon-based cellular computing machine G Tufte, PC Haddow Natural Computing 4 (4), 387-416, 2005 | 68 | 2005 |
| Ca-neat: evolved compositional pattern producing networks for cellular automata morphogenesis and replication S Nichele, MB Ose, S Risi, G Tufte IEEE Transactions on Cognitive and Developmental Systems 10 (3), 687-700, 2017 | 66 | 2017 |
| Towards making a cyborg: A closed-loop reservoir-neuro system P Aaser, M Knudsen, OH Ramstad, R van de Wijdeven, S Nichele, ... Artificial Life conference proceedings, 430-437, 2017 | 59 | 2017 |
| Reservoir computing with a chaotic circuit JH Jensen, G Tufte Artificial Life Conference Proceedings, 222-229, 2017 | 53 | 2017 |
| Nascence Project: Nanoscale Engineering for Novel Computation Using Evolution. H Broersma, F Gomez, J Miller, M Petty, G Tufte International journal of unconventional computing 8 (4), 2012 | 51 | 2012 |
| Reservoir computing in artificial spin ice JH Jensen, G Tufte Artificial Life Conference Proceedings 32, 376-383, 2020 | 39 | 2020 |
| Mecobo: A hardware and software platform for in materio evolution OR Lykkebø, S Harding, G Tufte, JF Miller International Conference on Unconventional Computation and Natural …, 2014 | 38 | 2014 |
| Building knowledge into developmental rules for circuit design G Tufte, PC Haddow International Conference on Evolvable Systems, 69-80, 2003 | 35 | 2003 |
| Biologically-inspired: A rule-based self-reconfiguration of a virtex chip G Tufte, PC Haddow International Conference on Computational Science, 1249-1256, 2004 | 32 | 2004 |
| Evolution-in-materio: Solving machine learning classification problems using materials M Mohid, JF Miller, SL Harding, G Tufte, OR Lykkebø, MK Massey, ... International Conference on Parallel Problem Solving from Nature, 721-730, 2014 | 29 | 2014 |
| flatspin: A large-scale artificial spin ice simulator JH Jensen, A Strømberg, OR Lykkebø, A Penty, J Leliaert, M Själander, ... Physical Review B 106 (6), 064408, 2022 | 28 | 2022 |
| A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality S Pontes-Filho, P Lind, A Yazidi, J Zhang, H Hammer, GBM Mello, ... Cognitive Neurodynamics 14 (5), 657-674, 2020 | 28 | 2020 |
Stefano NicheleProfessor, Østfold University CollegeVerified email at hiof.no
