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Thomas Dalgaty
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2020 – today
- 2023
- [j2]Maria Lepecq
, Thomas Dalgaty
End-to-End Implementation of a Convolutional Neural Network on a 3D-Integrated Image Sensor with Macropixel Array. Sensors 23(4): 1909 (2023) - [c14]Thomas Dalgaty, Maria Lepecq:
SLIM-Net: Rethinking how neural networks use systolic arrays. AICAS 2023: 1-5 - [c13]Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch:
G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. BMVC 2023: 660-663 - [c12]Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Pascal Vivet
HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. CVPR Workshops 2023: 3953-3962 - [c11]Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Cyrille Soubeyrat, Pascal Vivet
The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. DATE 2023: 1-6 - [i5]Thomas Dalgaty, Shogo Yamada, Anca Molnos, Eiji Kawasaki, Thomas Mesquida, François Rummens, Tatsuo Shibata, Yukihiro Urakawa, Yukio Terasaki, Tomoyuki Sasaki, Marc Duranton:
Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. CoRR abs/2312.02771 (2023) - [i4]Djohan Bonnet
Bayesian Metaplasticity from Synaptic Uncertainty. CoRR abs/2312.10153 (2023) - 2022
- [c10]Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, Ahmed Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. ISCAS 2022: 380-383 - [i3]Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, Ahmed Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello:
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. CoRR abs/2202.05094 (2022) - 2021
- [j1]Thomas Dalgaty
Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory-Based Inference Hardware. Adv. Intell. Syst. 3(8): 2000103 (2021) - [c9]Thomas Dalgaty, Elisa Vianello, Damien Querlioz:
Harnessing intrinsic memristor randomness with Bayesian neural networks. ICICDT 2021: 1-4 - [c8]Yigit Demirag
PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. ISCAS 2021: 1-5 - [i2]Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand:
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. CoRR abs/2102.07260 (2021) - 2020
- [c7]Florian Pebay-Peyroula, Thomas Dalgaty, Elisa Vianello:
Entropy source characterization in HfO2 RRAM for TRNG applications. DTIS 2020: 1-2 - [c6]Melika Payvand
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning. ISCAS 2020: 1-5 - [i1]Thomas Dalgaty, Niccolo Castellani, Damien Querlioz, Elisa Vianello:
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling. CoRR abs/2001.11426 (2020)
2010 – 2019
- 2019
- [c5]Thomas Dalgaty, Melika Payvand, Barbara De Salvo, Jerome Casas
Hybrid CMOS-RRAM Neurons with Intrinsic Plasticity. ISCAS 2019: 1-5 - 2018
- [c4]Elisa Donati
Processing EMG signals using reservoir computing on an event-based neuromorphic system. BioCAS 2018: 1-4 - [c3]Elisa Vianello, Denys R. B. Ly
Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks. ICECS 2018: 561-564 - [c2]Denys R. B. Ly
Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning. ISCAS 2018: 1-5 - [c1]Thomas Dalgaty, Elisa Vianello, Denys Ly
Insect-Inspired Elementary Motion Detection Embracing Resistive Memory and Spiking Neural Networks. Living Machines 2018: 115-128
Coauthor Index
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