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ORCIDThomas Van Vaerenbergh
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2020 – today
- 2024
[c13]Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan:
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. ISCAS 2024: 1-5- [c12]George Giamougiannis, Christos Pappas, Theodoros Moschos, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Christos Vagionas, Yanir London, Thomas Van Vaerenbergh, Bassem Tossoun, Nikos Pleros:
20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell. OFC 2024: 1-3 - [c11]Xian Xiao, Stanley Cheung, Bassem Tossoun, Thomas Van Vaerenbergh, Geza Kurczveil, Raymond G. Beausoleil:
Optical Neural Networks with Tensor Compression and Photonic Memory. OFC 2024: 1-3 - [i13]Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov:
Computing High-Degree Polynomial Gradients in Memory. CoRR abs/2401.16204 (2024) - [i12]Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benoît Charbonnier, Régis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello:
Invited: Neuromorphic architectures based on augmented silicon photonics platforms. CoRR abs/2407.06240 (2024) - [i11]Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang:
Separable Operator Networks. CoRR abs/2407.11253 (2024) - [i10]Yiwei Peng, Sean Hooten, Xinling Yu, Thomas Van Vaerenbergh, Yuan Yuan, Xian Xiao, Bassem Tossoun, Stanley Cheung, Marco Fiorentino, Raymond G. Beausoleil:
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture. CoRR abs/2408.08407 (2024) - [i9]Xiangyi Zhang, Ignacio Rozada, Fabian Böhm, Elisabetta Valiante, Moslem Noori, Thomas Van Vaerenbergh, Chan-Woo Yang, Giacomo Pedretti, Masoud Mohseni, Raymond G. Beausoleil:
Distributed Binary Optimization with In-Memory Computing: An Application for the SAT Problem. CoRR abs/2409.09152 (2024) - 2023
- [c10]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:
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. ETS 2023: 1-6 - [c9]Xian Xiao, Stanley Cheung, Sean Hooten, Yiwei Peng, Bassem Tossoun, Thomas Van Vaerenbergh, Geza Kurczveil, Raymond G. Beausoleil:
Wavelength-Parallel Photonic Tensor Core Based on Multi-FSR Microring Resonator Crossbar Array. OFC 2023: 1-3 - [c8]Fabio Pavanello, Elena Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino:
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. VTS 2023: 1-10 - [i8]Fabio Pavanello, Elena Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino:
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. CoRR abs/2305.01818 (2023) - [i7]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:
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. CoRR abs/2305.03139 (2023) - [i6]Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan:
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. CoRR abs/2311.01171 (2023) - [i5]Sean Hooten, Peng Sun, Liron Gantz, Marco Fiorentino, Raymond G. Beausoleil, Thomas Van Vaerenbergh:
Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids. CoRR abs/2311.05646 (2023) - 2022
- [c7]Sean Hooten, Mudit Jain, Thomas Van Vaerenbergh, Peng Sun, Quentin Wilmart, M. Ashkan Seyedi, Zhihong Huang, Marco Fiorentino, Raymond G. Beausoleil:
Inverse-Designed Dual Layer c-Si/SiN Vertical Grating Couplers Tested on 300mm Wafers. OECC/PSC 2022: 1-4 - 2021
- [c6]Guy van der Sande, Fabian Böhm, Thomas Van Vaerenbergh, Guy Verschaffelt:
Compact and inexpensive photonic Ising machines based on optoelectronic oscillators. OFC 2021: 1-3 - [i4]Sean Hooten, Thomas Van Vaerenbergh, Raymond G. Beausoleil:
Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning. CoRR abs/2107.00088 (2021) - 2020
- [c5]Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan:
Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. ICRC 2020: 76-79 - [c4]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:
Integrated Green DWDM Photonics for Next-Gen High-Performance Computing. OFC 2020: 1-3 - [i3]Fabian Böhm, Thomas Van Vaerenbergh, Guy Verschaffelt, Guy van der Sande:
Suppressing amplitude inhomogeneity enhances computational performance of Ising machines: why the choice of nonlinearity matters. CoRR abs/2012.10430 (2020)
2010 – 2019
- 2019
- [c3]Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan:
Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC 2019: 88-97 - [i2]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:
Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. CoRR abs/1903.11194 (2019) - 2017
- [c2]Thomas Van Vaerenbergh, Gabriel Joe Mendoza, Dave Kielpinski, Jason S. Pelc, Nikolas A. Tezak, Ranojoy Bose, Charles M. Santori, Raymond G. Beausoleil:
Demonstration of a Coherent Tunable Amplifier for All-Optical Ising Machines. ICRC 2017: 1-3 - 2016
- [c1]David Kielpinski, Ranojoy Bose, Jason S. Pelc, Thomas Van Vaerenbergh, Gabriel Joe Mendoza, Nikolas A. Tezak, Raymond G. Beausoleil:
Information processing with large-scale optical integrated circuits. ICRC 2016: 1-4 - 2015
- [i1]Michiel Hermans, Thomas Van Vaerenbergh:
Towards Trainable Media: Using Waves for Neural Network-Style Training. CoRR abs/1510.03776 (2015) - 2014
- [j1]Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman:
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. IEEE Trans. Neural Networks Learn. Syst. 25(2): 344-355 (2014)
Coauthor Index
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