Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. - Martin Andre Agnes Fiers; Thomas Van Vaerenbergh; Francis Wyffels; David Verstraeten; Benjamin Schrauwen; Joni Dambre; Peter Bienstman (IEEE Trans. Neural Networks Learn. Syst., 2014)

Towards Trainable Media: Using Waves for Neural Network-Style Training. - Michiel Hermans; Thomas Van Vaerenbergh (CoRR, 2015)

Information processing with large-scale optical integrated circuits. - David Kielpinski; Ranojoy Bose; Jason S. Pelc; Thomas Van Vaerenbergh; Gabriel Joe Mendoza; Nikolas A. Tezak; Raymond G. Beausoleil (ICRC, 2016)

Demonstration of a Coherent Tunable Amplifier for All-Optical Ising Machines. - Thomas Van Vaerenbergh; Gabriel Joe Mendoza; Dave Kielpinski; Jason S. Pelc; Nikolas A. Tezak; Ranojoy Bose; Charles M. Santori; Raymond G. Beausoleil (ICRC, 2017)

Future Computing Systems (FCS) to Support "Understanding" Capability. - Raymond G. Beausoleil; Thomas Van Vaerenbergh; Kirk Bresniker; Catherine Graves; Kimberly Keeton; Suhas Kumar; Can Li; Dejan S. Milojicic; Sergey Serebryakov; John Paul Strachan (ICRC, 2019)

Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. - Fuxi Cai; Suhas Kumar; Thomas Van Vaerenbergh; Rui Liu 005; Can Li; Shimeng Yu; Qiangfei Xia; J. Joshua Yang; Raymond G. Beausoleil; Wei Lu 003; John Paul Strachan (CoRR, 2019)

Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. - Suhas Kumar; Thomas Van Vaerenbergh; John Paul Strachan (ICRC, 2020)

Integrated Green DWDM Photonics for Next-Gen High-Performance Computing. - 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; et al. (OFC, 2020)

Suppressing amplitude inhomogeneity enhances computational performance of Ising machines: why the choice of nonlinearity matters. - Fabian Böhm; Thomas Van Vaerenbergh; Guy Verschaffelt; Guy van der Sande (CoRR, 2020)

Compact and inexpensive photonic Ising machines based on optoelectronic oscillators. - Guy van der Sande; Fabian Böhm; Thomas Van Vaerenbergh; Guy Verschaffelt (OFC, 2021)

Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning. - Sean Hooten; Thomas Van Vaerenbergh; Raymond G. Beausoleil (CoRR, 2021)

Inverse-Designed Dual Layer c-Si/SiN Vertical Grating Couplers Tested on 300mm Wafers. - Sean Hooten; Mudit Jain; Thomas Van Vaerenbergh; Peng Sun; Quentin Wilmart; M. Ashkan Seyedi; Zhihong Huang; Marco Fiorentino; Raymond G. Beausoleil (OECC/PSC, 2022)

EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. - Fabio Pavanello; Cédric Marchand 002; Ian O'Connor; Régis Orobtchouk; Fabien Mandorlo; Xavier Letartre; Sébastien Cueff; Elena-Ioana Vatajelu; Giorgio Di Natale; Benoit Cluzel; Aurelien Coillet; Benoît Charbonnier; et al. (ETS, 2023)

Wavelength-Parallel Photonic Tensor Core Based on Multi-FSR Microring Resonator Crossbar Array. - Xian Xiao; Stanley Cheung; Sean Hooten; Yiwei Peng; Bassem Tossoun; Thomas Van Vaerenbergh; Geza Kurczveil; Raymond G. Beausoleil (OFC, 2023)

Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. - Fabio Pavanello; Elena-Ioana Vatajelu; Alberto Bosio; Thomas Van Vaerenbergh; Peter Bienstman; Benoît Charbonnier; Alessio Carpegna; Stefano Di Carlo; Alessandro Savino (VTS, 2023)

NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. - Fabio Pavanello; Cédric Marchand 002; Ian O'Connor; Régis Orobtchouk; Fabien Mandorlo; Xavier Letartre; Sébastien Cueff; Elena-Ioana Vatajelu; Giorgio Di Natale; Benoit Cluzel; Aurelien Coillet; Benoît Charbonnier; et al. (CoRR, 2023)

Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids. - Sean Hooten; Peng Sun; Liron Gantz; Marco Fiorentino; Raymond G. Beausoleil; Thomas Van Vaerenbergh (CoRR, 2023)

Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms. - Matej Hejda; Federico Marchesin; George Papadimitriou 001; Dimitris Gizopoulos; Benoît Charbonnier; Régis Orobtchouk; Peter Bienstman; Thomas Van Vaerenbergh; Fabio Pavanello (DAC, 2024)

Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. - Mohammad Hizzani; Arne Heittmann; George Higgins Hutchinson; Dmitrii Dobrynin; Thomas Van Vaerenbergh; Tinish Bhattacharya; Adrien Renaudineau; Dmitri B. Strukov; John Paul Strachan (ISCAS, 2024)

20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell. - George Giamougiannis; Christos Pappas; Theodoros Moschos; Apostolos Tsakyridis; Miltiadis Moralis-Pegios; Christos Vagionas; Yanir London; Thomas Van Vaerenbergh; Bassem Tossoun; Nikos Pleros (OFC, 2024)

Optical Neural Networks with Tensor Compression and Photonic Memory. - Xian Xiao; Stanley Cheung; Bassem Tossoun; Thomas Van Vaerenbergh; Geza Kurczveil; Raymond G. Beausoleil (OFC, 2024)

Computing High-Degree Polynomial Gradients in Memory. - Tinish Bhattacharya; George Higgins Hutchinson; Giacomo Pedretti; X. Sheng; Jim Ignowski; Thomas Van Vaerenbergh; Raymond G. Beausoleil; John Paul Strachan; Dmitri B. Strukov (CoRR, 2024)

Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture. - Yiwei Peng; Sean Hooten; Xinling Yu; Thomas Van Vaerenbergh; Yuan Yuan 033; Xian Xiao; Bassem Tossoun; Stanley Cheung; Marco Fiorentino; Raymond G. Beausoleil (CoRR, 2024)

Distributed Binary Optimization with In-Memory Computing: An Application for the SAT Problem. - Xiangyi Zhang; Ignacio Rozada; Fabian Böhm; Elisabetta Valiante; Moslem Noori; Thomas Van Vaerenbergh; Chan-Woo Yang; Giacomo Pedretti; Masoud Mohseni; Raymond G. Beausoleil (CoRR, 2024)

Separable Operator Networks. - Xinling Yu; Sean Hooten; Ziyue Liu 003; Yequan Zhao; Marco Fiorentino; Thomas Van Vaerenbergh; Zheng Zhang 005 (Trans. Mach. Learn. Res., 2024)

Controlling ReRAM's Switching Characteristics with Shadow Memory for Continual Learning. - 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 (IMW, 2025)

Arrays of Non-Volatile III-V/Si Micro-Ring Lasers for Memory Search Applications. - Stanley Cheung; Yanir London; Yuan Yuan 033; Bassem Tossoun; Yiwei Peng; Yingtao Hu; Thomas Van Vaerenbergh; Chong Zhang; Geza Kurczveil; Di Liang; Raymond G. Beausoleil (OFC, 2025)

A 50 Gb/s WDM Silicon Photonic Ternary Content Addressable Memory cell. - 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 (OFC, 2025)

Photonic KAN: a Kolmogorov-Arnold Network Inspired Efficient Neuromorphic Accelerator. - Yiwei Peng; Sean Hooten; Xinling Yu; Thomas Van Vaerenbergh; Yuan Yuan 033; Xian Xiao; Bassem Tossoun; Stanley Cheung; Marco Fiorentino; Raymond G. Beausoleil (OFC, 2025)

In-Memory Optical Computing with Non-Volatile Silicon Photonic Memory. - Bassem Tossoun; Di Liang; Stanley Cheung; Yuan Yuan 033; Xian Xiao; Yanir London; Bin Shi; Thomas Van Vaerenbergh; Geza Kurczveil; Marco Fiorentino; Raymond G. Beausoleil (OFC, 2025)

Solving Boolean satisfiability problems with resistive content addressable memories. - 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; et al. (CoRR, 2025)

Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem. - 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; et al. (CoRR, 2025)

A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: How Many Repeats Are Enough? - Moslem Noori; Elisabetta Valiante; Thomas Van Vaerenbergh; Masoud Mohseni; Ignacio Rozada (CoRR, 2025)

Accelerating Hybrid XOR-CNF SAT Problems Natively with In-Memory Computing. - 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; et al. (CoRR, 2025)

How to Incorporate External Fields in Analog Ising Machines. - Robbe De Prins; Jacob Lamers; Peter Bienstman; Guy van der Sande; Guy Verschaffelt; Thomas Van Vaerenbergh (CoRR, 2025)