Thomas Dalgaty

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Markov Chain Monte Carlo Sampling

Genetically Optimized

Top Venues

Publications

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 (2023)
Thomas Dalgaty, Maria Lepecq
SLIM-Net: Rethinking how neural networks use systolic arrays. AICAS (2023)
Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Cyrille Soubeyrat, Pascal Vivet, Christoph Posch
The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. DATE (2023)
Maria Lepecq, Thomas Dalgaty, William Fabre, Stéphane Chevobbe
End-to-End Implementation of a Convolutional Neural Network on a 3D-Integrated Image Sensor with Macropixel Array. Sensors 23 (4) (2023)
Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Pascal Vivet, Christoph Posch
HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. CVPR Workshops (2023)
Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch
G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. BMVC (2023)
Djohan Bonnet, Tifenn Hirtzlin, Tarcisius Januel, Thomas Dalgaty, Damien Querlioz, Elisa Vianello
Bayesian Metaplasticity from Synaptic Uncertainty. CoRR (2023)
Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, A. Trabelsi, Thomas Dalgaty, Gabriel Molas, F. Andrieu, Stefano Brivio, S. Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. CoRR (2022)
Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, A. 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. ISCAS (2022)
Thomas Dalgaty, Eduardo Esmanhotto, Niccolo Castellani, Damien Querlioz, Elisa Vianello
Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory-Based Inference Hardware. Adv. Intell. Syst. 3 (8) (2021)
Thomas Dalgaty, Elisa Vianello, Damien Querlioz
Harnessing intrinsic memristor randomness with Bayesian neural networks. ICICDT (2021)
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. ISCAS (2021)
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 (2021)
Melika Payvand, Yigit Demirag, Thomas Dalgaty, Elisa Vianello, Giacomo Indiveri
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning. ISCAS (2020)
Florian Pebay-Peyroula, Thomas Dalgaty, Elisa Vianello
Entropy source characterization in HfO2 RRAM for TRNG applications. DTIS (2020)
Thomas Dalgaty, Niccolo Castellani, Damien Querlioz, Elisa Vianello
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling. CoRR (2020)
Thomas Dalgaty, Melika Payvand, Barbara De Salvo, Jerome Casas, Giusy Lama, Etienne Nowak, Giacomo Indiveri, Elisa Vianello
Hybrid CMOS-RRAM Neurons with Intrinsic Plasticity. ISCAS (2019)
Thomas Dalgaty, Elisa Vianello, Denys Ly, Giacomo Indiveri, Barbara De Salvo, Etienne Nowak, Jerome Casas
Insect-Inspired Elementary Motion Detection Embracing Resistive Memory and Spiking Neural Networks. Living Machines (2018)
Denys R. B. Ly, Alessandro Grossi, Thilo Werner, Thomas Dalgaty, Claire Fenouillet-Béranger, Elisa Vianello, Etienne Nowak
Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning. ISCAS (2018)
Elisa Vianello, Denys R. B. Ly, Selina La Barbera, Thomas Dalgaty, Niccolo Castellani, Gabriele Navarro, Guillaume Bourgeois, Alexandre Valentian, Etienne Nowak, Damien Querlioz
Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks. ICECS (2018)
Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Karla Burelo, Giacomo Indiveri, Thomas Dalgaty, Elisa Vianello
Processing EMG signals using reservoir computing on an event-based neuromorphic system. BioCAS (2018)