Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. - Valerio Milo; Giacomo Pedretti; Mario Laudato; Alessandro Bricalli; Elia Ambrosi; Stefano Bianchi; Elisabetta Chicca; Daniele Ielmini (ISCAS, 2018)

Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. - Giacomo Pedretti; Valerio Milo; Stefano Ambrogio; Roberto Carboni; Stefano Bianchi; Alessandro Calderoni; Nirmal Ramaswamy; Alessandro S. Spinelli; Daniele Ielmini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP). - Valerio Milo; Giacomo Pedretti; Roberto Carboni; Alessandro Calderoni; Nirmal Ramaswamy; Stefano Ambrogio; Daniele Ielmini (IEEE Trans. Very Large Scale Integr. Syst., 2018)

In-memory solution of linear systems with crosspoint arrays without iterations. - Zhong Sun; Giacomo Pedretti; Elia Ambrosi; Alessandro Bricalli; Wei Wang 209; Daniele Ielmini (DRC, 2019)

A Volatile RRAM Synapse for Neuromorphic Computing. - Erika Covi; Daniele Ielmini; Y.-H. Lin; Wei Wang 209; Tommaso Stecconi; Valerio Milo; Alessandro Bricalli; Elia Ambrosi; Giacomo Pedretti; Tseung-Yuen Tseng (ICECS, 2019)

Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM). - Zhong Sun; Giacomo Pedretti; Daniele Ielmini (ICRC, 2019)

Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses. - Stefano Bianchi; I. Muñoz-Martín; Giacomo Pedretti; Octavian Melnic; Stefano Ambrogio; Daniele Ielmini (VLSI Circuits, 2019)

Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits. - Gianluca Milano; Giacomo Pedretti; Matteo Fretto; Luca Boarino; Fabio Benfenati; Daniele Ielmini; Ilia Valov; Carlo Ricciardi (CoRR, 2019)

In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices. - Zhong Sun; Giacomo Pedretti; Elia Ambrosi; Alessandro Bricalli; Daniele Ielmini (AICAS, 2020)

A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks. - Stefano Bianchi; I. Muñoz-Martín; S. Hashemkhani; Giacomo Pedretti; Daniele Ielmini (ISCAS, 2020)

Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning. - I. Muñoz-Martín; Stefano Bianchi; S. Hashemkhani; Giacomo Pedretti; Daniele Ielmini (ISCAS, 2020)

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. - Giacomo Pedretti; Valerio Milo; S. Hashemkhani; Piergiulio Mannocci; Octavian Melnic; Elisabetta Chicca; Daniele Ielmini (ISCAS, 2020)

Device and Circuit Architectures for In-Memory Computing. - Daniele Ielmini; Giacomo Pedretti (Adv. Intell. Syst., 2020)

Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. - Gianluca Milano; Giacomo Pedretti; Matteo Fretto; Luca Boarino; Fabio Benfenati; Daniele Ielmini; Ilia Valov; Carlo Ricciardi (Adv. Intell. Syst., 2020)

In-Memory Eigenvector Computation in Time O (1). - Zhong Sun; Giacomo Pedretti; Elia Ambrosi; Alessandro Bricalli; Daniele Ielmini (Adv. Intell. Syst., 2020)

One-step regression and classification with crosspoint resistive memory arrays. - Zhong Sun; Giacomo Pedretti; Alessandro Bricalli; Daniele Ielmini (CoRR, 2020)

Time complexity of in-memory solution of linear systems. - Zhong Sun; Giacomo Pedretti; Piergiulio Mannocci; Elia Ambrosi; Alessandro Bricalli; Daniele Ielmini (CoRR, 2020)

In-memory computing with memristive devices. - Giacomo Pedretti (2020)

Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM). - Giacomo Pedretti; Elia Ambrosi; Daniele Ielmini (IRPS, 2021)

Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories. - Wei Wang 209; Erika Covi; Alessandro Milozzi; Matteo Farronato; Saverio Ricci; Caterina Sbandati; Giacomo Pedretti; Daniele Ielmini (Adv. Intell. Syst., 2021)

Tree-based machine learning performed in-memory with memristive analog CAM. - Giacomo Pedretti; Catherine E. Graves; Can Li; Sergey Serebryakov; Xia Sheng; Martin Foltin; Ruibin Mao; John Paul Strachan (CoRR, 2021)

A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors. - Piergiulio Mannocci; Giacomo Pedretti; Elisabetta Giannone; Enrico Melacarne; Zhong Sun; Daniele Ielmini (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

A general tree-based machine learning accelerator with memristive analog CAM. - Giacomo Pedretti; Sergey Serebryakov; John Paul Strachan; Catherine E. Graves (ISCAS, 2022)

Accelerating massive MIMO in 6G communications by analog in-memory computing circuits. - Piergiulio Mannocci; Enrico Melacarne; Giacomo Pedretti; Corrado Villa; Flavio Sancandi; Umberto Spagnolini; Daniele Ielmini (ISCAS, 2023)

Design Space Exploration of Analog CAM for Tree-Based Models. - Aishwarya Natarajan; Luca Buonanno; Todd Richmond; David Vickers; Xia Sheng; John Moon; Darrin Miller; Giacomo Pedretti; Catherine Graves; Jim Ignowski (MWSCAS, 2023)

X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. - Giacomo Pedretti; John Moon; Pedro Bruel; Sergey Serebryakov; Ron M. Roth; Luca Buonanno; Tobias Ziegler 006; Cong Xu; Martin Foltin; Paolo Faraboschi; Jim Ignowski; Catherine E. Graves (CoRR, 2023)

RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. - Lei Zhao; Luca Buonanno; Ron M. Roth; Sergey Serebryakov; Archit Gajjar; John Moon; Jim Ignowski; Giacomo Pedretti (CoRR, 2023)

CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. - John Moon; Giacomo Pedretti; Pedro Bruel; Sergey Serebryakov; Omar Eldash; Luca Buonanno; Catherine E. Graves; Paolo Faraboschi; Jim Ignowski (ICCAD, 2024)

Memristive Quaternary Content-Addressable Memories for Implementing Boolean Functions. - Luca Buonanno; Giacomo Pedretti; Lei Zhao; Aishwarya Natarajan; Todd Richmond; John Moon; Rand Jean; Xia Sheng; Ron M. Roth; Jim Ignowski (ISCAS, 2024)

On-Access Error Correction in Certain Types of Content-Addressable Memories. - Ron M. Roth; Giacomo Pedretti (ISIT, 2024)

HO-FPIA: High-Order Field-Programmable Ising Arrays with In-Memory Computing. - Tinish Bhattacharya; George Higgins Hutchinson; Giacomo Pedretti; Dmitri B. Strukov (ISVLSI, 2024)

Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. - Kaiwen Cao; Archit Gajjar; Liad Gerstman; Kun Wu 002; Sai Rahul Chalamalasetti; Aditya Dhakal; Giacomo Pedretti; Pavana Prakash; Wen-Mei Hwu; Deming Chen; Dejan S. Milojicic (SC Workshops, 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)

Roadmap to Neuromorphic Computing with Emerging Technologies. - Adnan Mehonic; Daniele Ielmini; Kaushik Roy 001; Onur Mutlu; Shahar Kvatinsky; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco; Sabina Spiga; Sergey Savelev; Alexander G. Balanov; Nitin Chawla; Giuseppe Desoli; et al. (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)

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. - Masoud Mohseni; Artur Scherer; K. Grace Johnson; Oded Wertheim; Matthew Otten; Navid Anjum Aadit; Yuri Alexeev; Kirk M. Bresniker; Kerem Yunus Çamsari; Barbara Chapman; Soumitra Chatterjee; Gebremedhin A. Dagnew; et al. (CoRR, 2024)

Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks. - Junyi Yang; Ruibin Mao; Mingrui Jiang; Yichuan Cheng; Pao-Sheng Vincent Sun; Shuai Dong; Giacomo Pedretti; Xia Sheng; Jim Ignowski; Haoliang Li; Can Li; Arindam Basu (CoRR, 2024)

RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost. - Archit Gajjar; Priyank Kashyap; Aydin Aysu; Paul Franzon; Yongjin Choi; Chris Cheng; Giacomo Pedretti; Jim Ignowski (ACM Trans. Reconfigurable Technol. Syst., 2024)

Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Xia Sheng; Giacomo Pedretti; Aman Arora 001; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FCCM, 2025)

Enhancing FPGAs with Analog In-Memory Computing Macros. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Rand Jean; Xia Sheng; Giacomo Pedretti; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FPGA, 2025)

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)

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)

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)

Real-time raw signal genomic analysis using fully integrated memristor hardware. - Peiyi He; Shengbo Wang; Ruibin Mao; Sebastian Siegel; Giacomo Pedretti; Jim Ignowski; John Paul Strachan; Ruibang Luo; Can Li (CoRR, 2025)

Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory. - Chengping He; Mingrui Jiang; Keyi Shan; Szu-Hao Yang; Zefan Li; Shengbo Wang; Giacomo Pedretti; Jim Ignowski; Can Li (CoRR, 2025)

Fault-Free Analog Computing with Imperfect Hardware. - Zhicheng Xu; Jiawei Liu; Sitao Huang; Zefan Li; Shengbo Wang; Bo Wen; Ruibin Mao; Mingrui Jiang; Giacomo Pedretti; Jim Ignowski; Kaibin Huang; Can Li (CoRR, 2025)