Thomas Van Vaerenbergh

42 papers A* 1B 1C 1Misc 1Journal 21Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
20 Gb/s Quaternary Content Addressable Memory Using Silicon Photonics.
ECOC
Antonios Prapas, Theodoros Moschos, Apostolos Tsakyridis, Stefanos Kovaios, Georgios Tsamis, Yanir London, Luca Buonanno, Bassem Tossoun, Thomas Van Vaerenbergh, Nikos Pleros, Miltiadis Moralis-Pegios
2025 — conf
A 50 Gb/s WDM Silicon Photonic Ternary Content Addressable Memory cell.
OFC
Theodoros Moschos, C. Pappas, Stefanos Kovaios, Ioannis Roumpos, Antonios Prapas, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Christos Vagionas, Yanir London, Thomas Van Vaerenbergh, Bassem Tossoun, Nikos Pleros
2025 J jnl
A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: How Many Repeats Are Enough?
CoRR
Moslem Noori, Elisabetta Valiante, Thomas Van Vaerenbergh, Masoud Mohseni, Ignacio Rozada
2025 J jnl
Accelerating Hybrid XOR-CNF SAT Problems Natively with In-Memory Computing.
CoRR
Haesol Im, Fabian Böhm, Giacomo Pedretti, Noriyuki Kushida, Moslem Noori, Elisabetta Valiante, Xiangyi Zhang, Chan-Woo Yang, Tinish Bhattacharya, Xia Sheng, Jim Ignowski, Arne Heittmann, John Paul Strachan, Masoud Mohseni, Raymond G. Beausoleil, Thomas Van Vaerenbergh, Ignacio Rozada
2025 — conf
Arrays of Non-Volatile III-V/Si Micro-Ring Lasers for Memory Search Applications.
OFC
Stanley Cheung, Yanir London, Yuan Yuan, Bassem Tossoun, Yiwei Peng, Yingtao Hu, Thomas Van Vaerenbergh, Chong Zhang, Geza Kurczveil, Di Liang, Raymond G. Beausoleil
2025 — conf
Controlling ReRAM's Switching Characteristics with Shadow Memory for Continual Learning.
IMW
Sai Sukruth Bezugam, Tinish Bhattacharya, Horst Petschenig, S. Choi, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, Robert Legenstein, Dmitri B. Strukov
2025 J jnl
Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem.
CoRR
Haesol Im, Chan-Woo Yang, Moslem Noori, Dmitrii Dobrynin, Elisabetta Valiante, Giacomo Pedretti, Arne Heittmann, Thomas Van Vaerenbergh, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Ignacio Rozada
2025 J jnl
How to Incorporate External Fields in Analog Ising Machines.
CoRR
Robbe De Prins, Jacob Lamers, Peter Bienstman, Guy van der Sande, Guy Verschaffelt, Thomas Van Vaerenbergh
2025 — conf
In-Memory Optical Computing with Non-Volatile Silicon Photonic Memory.
OFC
Bassem Tossoun, Di Liang, Stanley Cheung, Yuan Yuan, Xian Xiao, Yanir London, Bin Shi, Thomas Van Vaerenbergh, Geza Kurczveil, Marco Fiorentino, Raymond G. Beausoleil
2025 — conf
KLIMA: Low-latency mixed-signal In-Memory Computing accelerator for solving arbitrary-order Boolean Satisfiability.
HCS
Tinish Bhattacharya, Dongseok Kwon, George Higgins Hutchinson, Xiangyi Zhang, Giacomo Pedretti, Fabian Böhm, John Paul Strachan, Thomas Van Vaerenbergh, Ray Beausoleil, Ignacio Rozada, Dmitri B. Strukov
2025 — conf
Photonic KAN: a Kolmogorov-Arnold Network Inspired Efficient Neuromorphic Accelerator.
OFC
Yiwei Peng, Sean Hooten, Xinling Yu, Thomas Van Vaerenbergh, Yuan Yuan, Xian Xiao, Bassem Tossoun, Stanley Cheung, Marco Fiorentino, Raymond G. Beausoleil
2025 J jnl
SEPhIA: <1 laser/neuron Spiking Electro-Photonic Integrated Multi-Tiled Architecture for Scalable Optical Neuromorphic Computing.
CoRR
Matej Hejda, Aishwarya Natarajan, Chaerin Hong, Mehmet Berkay On, Sébastien d'Herbais de Thun, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2025 J jnl
Solving Boolean satisfiability problems with resistive content addressable memories.
CoRR
Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya, Arne Heittmann, Xiangyi Zhang, Mohammad Hizzani, George Higgins Hutchinson, Dongseok Kwon, John Moon, Elisabetta Valiante, Ignacio Rozada, Catherine E. Graves, Jim Ignowski, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2024 — conf
20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell.
OFC
George Giamougiannis, Christos Pappas, Theodoros Moschos, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Christos Vagionas, Yanir London, Thomas Van Vaerenbergh, Bassem Tossoun, Nikos Pleros
2024 J jnl
Computing High-Degree Polynomial Gradients in Memory.
CoRR
Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov
2024 J jnl
Distributed Binary Optimization with In-Memory Computing: An Application for the SAT Problem.
CoRR
Xiangyi Zhang, Ignacio Rozada, Fabian Böhm, Elisabetta Valiante, Moslem Noori, Thomas Van Vaerenbergh, Chan-Woo Yang, Giacomo Pedretti, Masoud Mohseni, Raymond G. Beausoleil
2024 A* conf
Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms.
DAC
Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello
2024 J jnl
Invited: Neuromorphic architectures based on augmented silicon photonics platforms.
CoRR
Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello
2024 C conf
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines.
ISCAS
Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan
2024 — conf
Optical Neural Networks with Tensor Compression and Photonic Memory.
OFC
Xian Xiao, Stanley Cheung, Bassem Tossoun, Thomas Van Vaerenbergh, Geza Kurczveil, Raymond G. Beausoleil
2024 J jnl
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture.
CoRR
Yiwei Peng, Sean Hooten, Xinling Yu, Thomas Van Vaerenbergh, Yuan Yuan, Xian Xiao, Bassem Tossoun, Stanley Cheung, Marco Fiorentino, Raymond G. Beausoleil
2024 J jnl
Separable Operator Networks.
CoRR
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
2024 J jnl
Separable Operator Networks.
Trans. Mach. Learn. Res.
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
2023 J jnl
Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids.
CoRR
Sean Hooten, Peng Sun, Liron Gantz, Marco Fiorentino, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2023 B conf
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.
ETS
Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino
2023 J jnl
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines.
CoRR
Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan
2023 J jnl
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.
CoRR
Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino
2023 Misc conf
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies.
VTS
Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2023 J jnl
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies.
CoRR
Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2023 — conf
Wavelength-Parallel Photonic Tensor Core Based on Multi-FSR Microring Resonator Crossbar Array.
OFC
Xian Xiao, Stanley Cheung, Sean Hooten, Yiwei Peng, Bassem Tossoun, Thomas Van Vaerenbergh, Geza Kurczveil, Raymond G. Beausoleil
2022 — conf
Inverse-Designed Dual Layer c-Si/SiN Vertical Grating Couplers Tested on 300mm Wafers.
OECC/PSC
Sean Hooten, Mudit Jain, Thomas Van Vaerenbergh, Peng Sun, Quentin Wilmart, M. Ashkan Seyedi, Zhihong Huang, Marco Fiorentino, Raymond G. Beausoleil
2021 — conf
Compact and inexpensive photonic Ising machines based on optoelectronic oscillators.
OFC
Guy van der Sande, Fabian Böhm, Thomas Van Vaerenbergh, Guy Verschaffelt
2021 J jnl
Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning.
CoRR
Sean Hooten, Thomas Van Vaerenbergh, Raymond G. Beausoleil
2020 — conf
Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization.
ICRC
Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan
2020 — conf
Integrated Green DWDM Photonics for Next-Gen High-Performance Computing.
OFC
Di Liang, Geza Kurczveil, Zhihong Huang, Binhao Wang, Antoine Descos, Sudharsanan Srinivasan, Yingtao Hu, Xiaoge Zeng, Wayne V. Sorin, Stanley Cheung, Songtao Liu, Peng Sun, Thomas Van Vaerenbergh, Marco Fiorentino, John E. Bowers, Raymond G. Beausoleil
2020 J jnl
Suppressing amplitude inhomogeneity enhances computational performance of Ising machines: why the choice of nonlinearity matters.
CoRR
Fabian Böhm, Thomas Van Vaerenbergh, Guy Verschaffelt, Guy van der Sande
2019 — conf
Future Computing Systems (FCS) to Support "Understanding" Capability.
ICRC
Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan
2019 J jnl
Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization.
CoRR
Fuxi Cai, Suhas Kumar, Thomas Van Vaerenbergh, Rui Liu, Can Li, Shimeng Yu, Qiangfei Xia, J. Joshua Yang, Raymond G. Beausoleil, Wei Lu, John Paul Strachan
2017 — conf
Demonstration of a Coherent Tunable Amplifier for All-Optical Ising Machines.
ICRC
Thomas Van Vaerenbergh, Gabriel Joe Mendoza, Dave Kielpinski, Jason S. Pelc, Nikolas A. Tezak, Ranojoy Bose, Charles M. Santori, Raymond G. Beausoleil
2016 — conf
Information processing with large-scale optical integrated circuits.
ICRC
David Kielpinski, Ranojoy Bose, Jason S. Pelc, Thomas Van Vaerenbergh, Gabriel Joe Mendoza, Nikolas A. Tezak, Raymond G. Beausoleil
2015 J jnl
Towards Trainable Media: Using Waves for Neural Network-Style Training.
CoRR
Michiel Hermans, Thomas Van Vaerenbergh
2014 J jnl
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.
IEEE Trans. Neural Networks Learn. Syst.
Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman