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Eduardo Pignatelli
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Comparing recurrent and convolutional neural networks for predicting wave propagation
S Fotiadis, E Pignatelli, ML Valencia, C Cantwell, A Storkey, AA Bharath
arXiv preprint arXiv:2002.08981, 2020
432020
Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies
N Wong, S Meshkinfamfard, V Turbé, M Whitaker, M Moshe, ...
Nature Research, 2022
202022
Simulating surface wave dynamics with convolutional networks
M Lino, C Cantwell, S Fotiadis, E Pignatelli, A Bharath
arXiv preprint arXiv:2012.00718, 2020
192020
Specialised algorithms for different project stages in a post-formed timber gridshell design
S Pone, G Mirra, E Pignatelli, D Lancia, S Colabella
Proceedings of the 3rd International Conference on Structures and …, 2016
112016
Computational morphogenesis and construction of an acoustic shell for outdoor chamber music
E Pignatelli, G Mirra, G Lucci
Proceedings of IASS Annual Symposia 2016 (17), 1-10, 2016
10*2016
A wooden acoustic shell for open-air chamber music concert
E Pignatelli, S Colabella, SD Rosario, S Pone
Proceedings of IASS Annual Symposia 2015 (25), 1-12, 2015
82015
Comparing recurrent and convolutional neural networks for predicting wave propagation. arXiv
S Fotiadis, E Pignatelli, ML Valencia, C Cantwell, A Storkey, AA Bharath
arXiv preprint arXiv:2002.08981, 2020
62020
A survey of temporal credit assignment in deep reinforcement learning
E Pignatelli, J Ferret, M Geist, T Mesnard, H van Hasselt, L Toni
arXiv preprint arXiv:2312.01072, 2023
42023
An automated design methodology for acoustic shells in outdoor concerts
G Mirra, E Pignatelli, S Di Rosario
42018
Res, resonant string shell, development and design of an acoustic shell for outdoor chamber music concerts.
S Di Rosario, B Parenti, E Pignatelli, G Mirra, S Pone
AUDITORIUM ACOUSTICS, 354-373, 2015
32015
Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study
K Ntagiantas, E Pignatelli, NS Peters, CD Cantwell, RA Chowdhury, ...
Biomedical Signal Processing and Control 89, 105746, 2024
22024
Simulating Surface Wave Dynamics with Convolutional Networks.
ML Valencia, CD Cantwell, S Fotiadis, E Pignatelli, AA Bharath
arXiv, 2020
22020
InFormer: designing forming actions in post-formed gridshells by means of MOGAs
E Pignatelli, G Mirra, S Pone
Proceedings of IASS Annual Symposia 2017 (17), 1-10, 2017
12017
Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks.
K Ntagiantas, E Pignatelli, NS Peters, CD Cantwell, RA Chowdhury, ...
CoRR, 2022
2022
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
E Pignatelli, J Ferret, D Paglieri, S Coward, T Rocktäschel, E Grefenstette, ...
Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs, 0
Does behavioral diversity in intrinsic rewards help exploration?
A Kayal, E Pignatelli, L Toni
Second Agent Learning in Open-Endedness Workshop, 0
Fully Convolutional Approach for Simulating Wave Dynamics
ML Valencia, CD Cantwell, E Pignatelli, S Fotiadis, AA Bharath
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Articles 1–17