Design, identification and control of a fast nanopositioning device. - Salpax Salapaka; Abu Sebastian; Jason P. Cleveland; Murti V. Salapaka (ACC, 2002)

H∞ loop shaping design for nano-positioning. - Abu Sebastian; Srinivasa M. Salapaka (ACC, 2003)

Control of the nanopositioning devices. - Srinivasa M. Salapaka; Abu Sebastian (CDC, 2003)

Robust control approach to atomic force microscopy. - Abu Sebastian; Murti V. Salapaka; Jason P. Cleveland (CDC, 2003)

An observer based sample detection scheme for atomic force microscopy. - Abu Sebastian; Deepak R. Sahoo; Murti V. Salapaka (CDC, 2003)

Thermal noise response based control of tip-sample separation in AFM. - Anil Gannepalli; Abu Sebastian; Jason P. Cleveland; Murti V. Salapaka (ACC, 2004)

The amplitude phase dynamics and fixed points in tapping-mode atomic force microscopy. - Abu Sebastian; Anil Gannepalli; Murti V. Salapaka (ACC, 2004)

Nanopositioning for probe storage. - Abu Sebastian; Angeliki Pantazi; Giovanni Cherubini; Evangelos Eleftheriou; Mark A. Lantz; Haralampos Pozidis (ACC, 2005)

Two-sensor-based H∞ control for nanopositioning in probe storage. - Angeliki Pantazi; Abu Sebastian; Haralambos Pozidis; Evangelos Eleftheriou (CDC/ECC, 2005)

Signal processing for probe storage. - Haralampos Pozidis; Peter Bächtold; Giovanni Cherubini; Evangelos Eleftheriou; Christoph Hagleitner; Aggeliki Pantazi; Abu Sebastian (ICASSP (5), 2005)

Design methodologies for robust nano-positioning. - Abu Sebastian; Srinivasa M. Salapaka (IEEE Trans. Control. Syst. Technol., 2005)

Jitter Investigation and Performance Evaluation of a Small-Scale Probe Storage Device Prototype. - Abu Sebastian; Aggeliki Pantazi; Haralampos Pozidis (GLOBECOM, 2007)

Control of MEMS-Based Scanning-Probe Data-Storage Devices. - Angeliki Pantazi; Abu Sebastian; Giovanni Cherubini; Mark A. Lantz; Haralampos Pozidis; Hugo E. Rothuizen; Evangelos Eleftheriou (IEEE Trans. Control. Syst. Technol., 2007)

A Review of the Systems Approach to the Analysis of Dynamic-Mode Atomic Force Microscopy. - Abu Sebastian; Anil Gannepalli; Murti V. Salapaka (IEEE Trans. Control. Syst. Technol., 2007)

On intermittent-contact mode sensing using electrostatically-actuated micro-cantilevers with integrated thermal sensors. - Deepak R. Sahoo; Walter Häberle; Peter Bächtold; Abu Sebastian; Haralampos Pozidis; Evangelos Eleftheriou (ACC, 2008)

Modeling and identification of the dynamics of electrostatically actuated microcantilever with integrated thermal sensor. - Pranav Agarwal; Deepak R. Sahoo; Abu Sebastian; Haralampos Pozidis; Murti V. Salapaka (CDC, 2008)

Probe-based ultrahigh-density storage technology. - Aggeliki Pantazi; Abu Sebastian; Theodore Antonakopoulos 001; Peter Bächtold; Anthony R. Bonaccio; Jose Bonan; Giovanni Cherubini; Michel Despont; Richard A. DiPietro; Ute Drechsler; Urs Dürig; Bernd Gotsmann; et al. (IBM J. Res. Dev., 2008)

High-speed intermittent-contact mode scanning probe microscopy using cantilevers with integrated electrostatic actuator and thermoelectric sensor. - Deepak R. Sahoo; Walter Häberle; Peter Bächtold; Abu Sebastian; Haralampos Pozidis; Evangelos Eleftheriou (ACC, 2009)

Stability of signal transformation method for triangular waveform tracking. - Ali Bazaei; S. O. Reza Moheimani; Abu Sebastian (CDC, 2010)

Multilevel phase-change memory. - Nikolaos Papandreou; Aggeliki Pantazi; Abu Sebastian; Matthew J. Breitwisch; Chung Hon Lam; Haralampos Pozidis; Evangelos Eleftheriou (ICECS, 2010)

Channel Modeling and Signal Processing for Probe Storage Channels. - Haralampos Pozidis; Giovanni Cherubini; Aggeliki Pantazi; Abu Sebastian; Evangelos Eleftheriou (IEEE J. Sel. Areas Commun., 2010)

Impulsive control for nanopositioning: stability and performance. - Tomas Tuma; Aggeliki Pantazi; John Lygeros; Abu Sebastian (HSCC, 2011)

Programming algorithms for multilevel phase-change memory. - Nikolaos Papandreou; Haralampos Pozidis; Aggeliki Pantazi; Abu Sebastian; Matthew J. Breitwisch; Chung Hon Lam; Evangelos Eleftheriou (ISCAS, 2011)

An analysis of signal transformation approach to triangular waveform tracking. - Ali Bazaei; S. O. Reza Moheimani; Abu Sebastian (Autom., 2011)

Optimal scan trajectories for high-speed scanning probe microscopy. - Tomas Tuma; John Lygeros; Abu Sebastian; Angeliki Pantazi (ACC, 2012)

A dual-stage nanopositioning approach to high-speed scanning probe microscopy. - Tomas Tuma; Walter Häberle; Hugo E. Rothuizen; John Lygeros; Angeliki Pantazi; Abu Sebastian (CDC, 2012)

Tracking of Triangular References Using Signal Transformation for Control of a Novel AFM Scanner Stage. - Ali Bazaei; Yuen Kuan Yong; S. O. Reza Moheimani; Abu Sebastian (IEEE Trans. Control. Syst. Technol., 2012)

Nanopositioning With Multiple Sensors: A Case Study in Data Storage. - Abu Sebastian; Angeliki Pantazi (IEEE Trans. Control. Syst. Technol., 2012)

Nonvolatile resistive memory devices based on hydrogenated amorphous carbon. - Laurent Dellmann; Abu Sebastian; Vara Prasad Jonnalagadda; Claudia A. Santini; Wabe W. Koelmans; Christophe Rossel; Evangelos Eleftheriou (ESSDERC, 2013)

Nanopositioning With Impulsive State Multiplication: A Hybrid Control Approach. - Tomas Tuma; Angeliki Pantazi; John Lygeros; Abu Sebastian (IEEE Trans. Control. Syst. Technol., 2013)

A collective relaxation model for resistance drift in phase change memory cells. - Abu Sebastian; Daniel Krebs; Manuel Le Gallo; Haralampos Pozidis; Evangelos Eleftheriou (IRPS, 2015)

Probing the micromechanics of the fastest growing plant cell - The pollen tube. - Naveen Shamsudhin; Huseyin Baris Atakan; Nino Laubli; Hannes Vogler; Chengzhi Hu; Abu Sebastian; Ueli Grossniklaus; Bradley J. Nelson (EMBC, 2016)

Inherent stochasticity in phase-change memory devices. - Manuel Le Gallo; Tomas Tuma; Federico Zipoli; Abu Sebastian; Evangelos Eleftheriou (ESSDERC, 2016)

Recent Progress in Phase-Change Memory Technology. - Geoffrey W. Burr; Matthew J. BrightSky; Abu Sebastian; Huai-Yu Cheng; Jau-Yi Wu; SangBum Kim; Norma E. Sosa; Nikolaos Papandreou; Hsiang-Lan Lung; Haralampos Pozidis; Evangelos Eleftheriou; Chung Hon Lam (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. - Timoleon Moraitis; Abu Sebastian; Irem Boybat; Manuel Le Gallo; Tomas Tuma; Evangelos Eleftheriou (IJCNN, 2017)

An efficient synaptic architecture for artificial neural networks. - Irem Boybat; Manuel Le Gallo; S. R. Nandakumar; Timoleon Moraitis; Tomas Tuma; Bipin Rajendran; Yusuf Leblebici; Abu Sebastian; Evangelos Eleftheriou (NVMTS, 2017)

Mixed-Precision Memcomputing. - Manuel Le Gallo; Abu Sebastian; Roland Mathis; Matteo Manica; Tomas Tuma; Costas Bekas; Alessandro Curioni; Evangelos Eleftheriou (CoRR, 2017)

Temporal correlation detection using computational phase-change memory. - Abu Sebastian; Tomas Tuma; Nikolaos Papandreou; Manuel Le Gallo; Lukas Kull; Thomas P. Parnell; Evangelos Eleftheriou (CoRR, 2017)

Neuromorphic computing with multi-memristive synapses. - Irem Boybat; Manuel Le Gallo; S. R. Nandakumar; Timoleon Moraitis; Thomas P. Parnell; Tomas Tuma; Bipin Rajendran; Yusuf Leblebici; Abu Sebastian; Evangelos Eleftheriou (CoRR, 2017)

Mixed-precision training of deep neural networks using computational memory. - S. R. Nandakumar; Manuel Le Gallo; Irem Boybat; Bipin Rajendran; Abu Sebastian; Evangelos Eleftheriou (CoRR, 2017)

Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning. - Timoleon Moraitis; Abu Sebastian; Evangelos Eleftheriou (IJCNN, 2018)

Mixed-precision architecture based on computational memory for training deep neural networks. - S. R. Nandakumar; Manuel Le Gallo; Irem Boybat; Bipin Rajendran; Abu Sebastian; Evangelos Eleftheriou (ISCAS, 2018)

Exploiting the non-linear current-voltage characteristics for resistive memory readout. - Nikolaos Papandreou; Abu Sebastian; Haralampos Pozidis (ISCAS, 2018)

Impact of conductance drift on multi-PCM synaptic architectures. - Irem Boybat; S. R. Nandakumar; Manuel Le Gallo; Bipin Rajendran; Yusuf Leblebici; Abu Sebastian; Evangelos Eleftheriou (NVMTS, 2018)

In-memory computing on a photonic platform. - Carlos Ríos; Nathan Youngblood; Zengguang Cheng; Manuel Le Gallo; Wolfram H. P. Pernice; C. David Wright; Abu Sebastian; Harish Bhaskaran (CoRR, 2018)

In-Memory Computing: Towards Energy-Efficient Artificial Intelligence. - Manuel Le Gallo; Abu Sebastian; Evangelos Eleftheriou (ERCIM News, 2018)

Flux-Charge Memristor Model for Phase Change Memory. - Jacopo Secco; Fernando Corinto; Abu Sebastian (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Applications of Computation-In-Memory Architectures based on Memristive Devices. - Said Hamdioui; Hoang Anh Du Nguyen; Mottaqiallah Taouil; Abu Sebastian; Manuel Le Gallo; Sandeep Pande; Siebren Schaafsma; Francky Catthoor; Shidhartha Das; Fernando García-Redondo; Geethan Karunaratne; Abbas Rahimi; et al. (DATE, 2019)

Phase-change memory enables energy-efficient brain-inspired computing. - Manuel Le Gallo; Abu Sebastian; Evangelos Eleftheriou (DRC, 2019)

Phase-Change Memory Models for Deep Learning Training and Inference. - S. R. Nandakumar; Irem Boybat; Vinay Joshi; Christophe Piveteau; Manuel Le Gallo; Bipin Rajendran; Abu Sebastian; Evangelos Eleftheriou (ICECS, 2019)

Reliability Challenges with Materials for Analog Computing. - Eduard A. Cartier; Wanki Kim; Nanbo Gong; Tayfun Gokmen; Martin M. Frank; Douglas M. Bishop; Youngseok Kim; Seyoung Kim; Takashi Ando; Ernest Y. Wu; Praneet Adusumilli; John Rozen; et al. (IRPS, 2019)

Multi-ReRAM Synapses for Artificial Neural Network Training. - Irem Boybat; Cecilia Giovinazzo; Elmira Shahrabi; Igor Krawczuk; Iason Giannopoulos; Christophe Piveteau; Manuel Le Gallo; Carlo Ricciardi; Abu Sebastian; Evangelos Eleftheriou; Yusuf Leblebici (ISCAS, 2019)

Computational memory-based inference and training of deep neural networks. - Abu Sebastian; Irem Boybat; Martino Dazzi; Iason Giannopoulos; Vara Prasad Jonnalagadda; Vinay Joshi; Geethan Karunaratne; Benedikt Kersting; Riduan Khaddam-Aljameh; S. R. Nandakumar; Anastasios Petropoulos; Christophe Piveteau; et al. (VLSI Circuits, 2019)

Low-Power Neuromorphic Hardware for Signal Processing Applications. - Bipin Rajendran; Abu Sebastian; Michael Schmuker; Narayan Srinivasa; Evangelos Eleftheriou (CoRR, 2019)

Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses. - S. R. Nandakumar; Irem Boybat; Manuel Le Gallo; Evangelos Eleftheriou; Abu Sebastian; Bipin Rajendran (CoRR, 2019)

In-memory hyperdimensional computing. - Geethan Karunaratne; Manuel Le Gallo; Giovanni Cherubini; Luca Benini; Abbas Rahimi; Abu Sebastian (CoRR, 2019)

Accurate deep neural network inference using computational phase-change memory. - Vinay Joshi; Manuel Le Gallo; Irem Boybat; Simon Haefeli; Christophe Piveteau; Martino Dazzi; Bipin Rajendran; Abu Sebastian; Evangelos Eleftheriou (CoRR, 2019)

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory. - Martino Dazzi; Abu Sebastian; Pier Andrea Francese; Thomas P. Parnell; Luca Benini; Evangelos Eleftheriou (CoRR, 2019)

Deep learning acceleration based on in-memory computing. - Evangelos Eleftheriou; Manuel Le Gallo; S. R. Nandakumar; Christophe Piveteau; Irem Boybat; Vinay Joshi; Riduan Khaddam-Aljameh; Martino Dazzi; Iason Giannopoulos; Geethan Karunaratne; Benedikt Kersting; Milos Stanisavljevic; et al. (IBM J. Res. Dev., 2019)

Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches. - Bipin Rajendran; Abu Sebastian; Michael Schmuker; Narayan Srinivasa; Evangelos Eleftheriou (IEEE Signal Process. Mag., 2019)

Temperature Compensation Schemes for In-Memory Computing using Phase-Change Memory. - Iason Giannopoulos; Manuel Le Gallo; Vara Prasad Jonnalagadda; Evangelos Eleftheriou; Abu Sebastian (AICAS, 2020)

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. - Vinay Joshi; Geethan Karunaratne; Manuel Le Gallo; Irem Boybat; Christophe Piveteau; Abu Sebastian; Bipin Rajendran; Evangelos Eleftheriou (ISCAS, 2020)

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. - Anastasios Petropoulos; Irem Boybat; Manuel Le Gallo; Evangelos Eleftheriou; Abu Sebastian; Theodore Antonakopoulos 001 (ISCAS, 2020)

File Classification Based on Spiking Neural Networks. - Ana Stanojevic; Giovanni Cherubini; Timoleon Moraitis; Abu Sebastian (ISCAS, 2020)

In-Memory Database Query. - Iason Giannopoulos; Abhairaj Singh; Manuel Le Gallo; Vara Prasad Jonnalagadda; Said Hamdioui; Abu Sebastian (Adv. Intell. Syst., 2020)

Memristors - From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing. - Adnan Mehonic; Abu Sebastian; Bipin Rajendran; Osvaldo Simeone; Eleni Vasilaki; Anthony J. Kenyon (Adv. Intell. Syst., 2020)

Mixed-precision deep learning based on computational memory. - S. R. Nandakumar; Manuel Le Gallo; Christophe Piveteau; Vinay Joshi; Giovanni Mariani; Irem Boybat; Geethan Karunaratne; Riduan Khaddam-Aljameh; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Bipin Rajendran; et al. (CoRR, 2020)

Parallel convolution processing using an integrated photonic tensor core. - Johannes Feldmann; Nathan Youngblood; Maxim Karpov; Helge Gehring; Xuan Li; Manuel Le Gallo; Xin Fu; Anton Lukashchuk; Arslan Raja; Junqiu Liu; C. David Wright; Abu Sebastian; et al. (CoRR, 2020)

Compiling Neural Networks for a Computational Memory Accelerator. - Kornilios Kourtis; Martino Dazzi; Nikolas Ioannou; Tobias Grosser; Abu Sebastian; Evangelos Eleftheriou (CoRR, 2020)

Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing. - Adnan Mehonic; Abu Sebastian; Bipin Rajendran; Osvaldo Simeone; Eleni Vasilaki; Anthony J. Kenyon (CoRR, 2020)

Short-term synaptic plasticity optimally models continuous environments. - Timoleon Moraitis; Abu Sebastian; Evangelos Eleftheriou (CoRR, 2020)

Robust High-dimensional Memory-augmented Neural Networks. - Geethan Karunaratne; Manuel Schmuck; Manuel Le Gallo; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2020)

Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. - Sergi Abadal; Robert Guirado; Hamidreza Taghvaee; Akshay Jain 001; Elana Pereira de Santana; Peter Haring Bolívar; Mohamed Saeed Elsayed; Renato Negra; Zhenxing Wang; Kun-Ta Wang; Max Christian Lemme; Joshua Alexander Harrison Klein; et al. (CoRR, 2020)

Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. - Geethan Karunaratne; Abbas Rahimi; Manuel Le Gallo; Giovanni Cherubini; Abu Sebastian (AICAS, 2021)

A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays. - Malte J. Rasch; Diego Moreda; Tayfun Gokmen; Manuel Le Gallo; Fabio Carta; Cindy Goldberg; Kaoutar El Maghraoui; Abu Sebastian; Vijay Narayanan (AICAS, 2021)

Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). - Joshua Alexander Harrison Klein; Alexandre Levisse; Giovanni Ansaloni; David Atienza; Marina Zapater; Martino Dazzi; Geethan Karunaratne; Irem Boybat; Abu Sebastian; Davide Rossi; Francesco Conti 001; Elana Pereira de Santana; et al. (CF, 2021)

Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation. - Robert L. Bruce; Syed Ghazi Sarwat; Irem Boybat; Cheng-Wei Cheng; Wanki Kim; S. R. Nandakumar; Charles Mackin; Timothy Philip; Zuoguang Liu; Kevin Brew; Nanbo Gong; Injo Ok; et al. (IRPS, 2021)

Accurate Weight Mapping in a Multi-Memristive Synaptic Unit. - Michele Martemucci; Benedikt Kersting; Riduan Khaddam-Aljameh; Irem Boybat; S. R. Nandakumar; Urs Egger; Matthew BrightSky; Robert L. Bruce; Manuel Le Gallo; Abu Sebastian (ISCAS, 2021)

HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing. - Riduan Khaddam-Aljameh; Milos Stanisavljevic; Jordi Fornt Mas; Geethan Karunaratne; Matthias Braendli; Femg Liu; Abhairaj Singh; Silvia M. Müller; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Kevin Brew; et al. (VLSI Circuits, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

Measurement of onset of structural relaxation in melt-quenched phase change materials. - Benedikt Kersting; Syed Ghazi Sarwat; Manuel Le Gallo; Kevin Brew; Sebastian Walfort; Nicole Saulnier; Martin Salinga; Abu Sebastian (CoRR, 2021)

AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. - Chuteng Zhou; Fernando García-Redondo; Julian Büchel; Irem Boybat; Xavier Timoneda Comas; S. R. Nandakumar; Shidhartha Das; Abu Sebastian; Manuel Le Gallo; Paul N. Whatmough (CoRR, 2021)

Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing. - Abbas Rahimi; Manuel Le Gallo; Abu Sebastian (ERCIM News, 2021)

Accelerating Inference of Convolutional Neural Networks Using In-memory Computing. - Martino Dazzi; Abu Sebastian; Luca Benini; Evangelos Eleftheriou (Frontiers Comput. Neurosci., 2021)

Parallel convolutional processing using an integrated photonic tensor core. - Johannes Feldmann; Nathan Youngblood; Maxim Karpov; Helge Gehring; Xuan Li; Maik Stappers; Manuel Le Gallo; Xin Fu; Anton Lukashchuk; Arslan S. Raja; Junqiu Liu; C. David Wright; et al. (Nat., 2021)

Efficient Pipelined Execution of CNNs Based on In-Memory Computing and Graph Homomorphism Verification. - Martino Dazzi; Abu Sebastian; Thomas P. Parnell; Pier Andrea Francese; Luca Benini; Evangelos Eleftheriou (IEEE Trans. Computers, 2021)

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. - Geethan Karunaratne; Manuel Le Gallo; Michael Hersche; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Multi-Memristive Unit-Cell Array With Diagonal Interconnects for In-Memory Computing. - Riduan Khaddam-Aljameh; Michele Martemucci; Benedikt Kersting; Manuel Le Gallo; Robert L. Bruce; Matthew BrightSky; Abu Sebastian (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Constrained Few-shot Class-incremental Learning. - Michael Hersche; Geethan Karunaratne; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CVPR, 2022)

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. - Geethan Karunaratne; Michael Hersche; Jovin Langenegger; Giovanni Cherubini; Manuel Le Gallo; Urs Egger; Kevin Brew; Samuel Choi; Injo Ok; Mary Claire Silvestre; Ning Li; Nicole Saulnier; et al. (ESSCIRC, 2022)

Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. - Robert Guirado; Abbas Rahimi; Geethan Karunaratne; Eduard Alarcón; Abu Sebastian; Sergi Abadal (IJCNN, 2022)

Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. - Dominique J. Kösters; Bryan A. Kortman; Irem Boybat; Elena Ferro; Sagar Dolas; Roberto de Austri; Johan Kwisthout; Hans Hilgenkamp; Theo Rasing; Heike Riel; Abu Sebastian; Sascha Caron; et al. (CoRR, 2022)

In-memory factorization of holographic perceptual representations. - Jovin Langenegger; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2022)

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. - Manuel Le Gallo; Riduan Khaddam-Aljameh; Milos Stanisavljevic; Athanasios Vasilopoulos; Benedikt Kersting; Martino Dazzi; Geethan Karunaratne; Matthias Braendli; Abhairaj Singh; Silvia M. Mueller; Julian Büchel; Xavier Timoneda Comas; et al. (CoRR, 2022)

MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory. - Mahdi Zahedi; Muath Abu Lebdeh; Christopher Bengel; Dirk J. Wouters; Stephan Menzel; Manuel Le Gallo; Abu Sebastian; Stephan Wong; Said Hamdioui (ACM J. Emerg. Technol. Comput. Syst., 2022)

HERMES-Core - A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. - Riduan Khaddam-Aljameh; Milos Stanisavljevic; Jordi Fornt Mas; Geethan Karunaratne; Matthias Brändli; Feng Liu; Abhairaj Singh; Silvia M. Müller; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Kevin Brew; et al. (IEEE J. Solid State Circuits, 2022)

Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion. - Amlan Ganguly; Sergi Abadal; Ishan G. Thakkar; Natalie Enright Jerger; Marc D. Riedel; Masoud Babaie; Rajeev Balasubramonian; Abu Sebastian; Sudeep Pasricha; Baris Taskin (IEEE Micro, 2022)

ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. - Chuteng Zhou; Fernando García-Redondo; Julian Büchel; Irem Boybat; Xavier Timoneda Comas; S. R. Nandakumar; Shidhartha Das; Abu Sebastian; Manuel Le Gallo; Paul N. Whatmough (IEEE Micro, 2022)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)

Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars. - Manuel Le Gallo; S. R. Nandakumar; Lazar Ciric; Irem Boybat; Riduan Khaddam-Aljameh; Charles Mackin; Abu Sebastian (Neuromorph. Comput. Eng., 2022)

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. - Hadjer Benmeziane; Corey Lammie; Irem Boybat; Malte J. Rasch; Manuel Le Gallo; Hsinyu Tsai; Ramachandran Muralidhar; Smaïl Niar; Hamza Ouarnoughi; Vijay Narayanan; Abu Sebastian; Kaoutar El Maghraoui (EDGE, 2023)

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). - Martin M. Frank; Ning Li; Malte J. Rasch; Shubham Jain; Ching-Tzu Chen; Ramachandran Muralidhar; Jin-Ping Han; Vijay Narayanan; Timothy Philip; Kevin Brew; Andrew Simon; Iqbal Saraf; et al. (IRPS, 2023)

Decoding Superpositions of Bound Symbols Represented by Distributed Representations. - Michael Hersche; Zuzanna Opala; Geethan Karunaratne; Abu Sebastian; Abbas Rahimi (NeSy, 2023)

Solving Raven's Progressive Matrices via a Neuro-vector-symbolic Architecture. - Michael Hersche; Mustafa Zeqiri; Luca Benini; Abu Sebastian; Abbas Rahimi (NeSy, 2023)

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. - Nicolas Menet; Michael Hersche; Geethan Karunaratne; Luca Benini; Abu Sebastian; Abbas Rahimi (NeurIPS, 2023)

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. - Malte J. Rasch; Charles Mackin; Manuel Le Gallo; An Chen 002; Andrea Fasoli; Frédéric Odermatt; Ning Li; S. R. Nandakumar; Pritish Narayanan; Hsinyu Tsai; Geoffrey W. Burr; Abu Sebastian; et al. (CoRR, 2023)

Factorizers for Distributed Sparse Block Codes. - Michael Hersche; Aleksandar Terzic; Geethan Karunaratne; Jovin Langenegger; Angéline Pouget; Giovanni Cherubini; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

Gradient descent-based programming of analog in-memory computing cores. - Julian Büchel; Athanasios Vasilopoulos; Benedikt Kersting; Frédéric Odermatt; Kevin Brew; Injo Ok; Samuel Choi; Iqbal Saraf; Victor Chan; Timothy Philip; Nicole Saulnier; Vijay Narayanan; et al. (CoRR, 2023)

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. - Manuel Le Gallo; Corey Lammie; Julian Büchel; Fabio Carta; Omobayode Fagbohungbe; Charles Mackin; Hsinyu Tsai; Vijay Narayanan; Abu Sebastian; Kaoutar El Maghraoui; Malte J. Rasch (CoRR, 2023)

TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. - Aleksandar Terzic; Michael Hersche; Geethan Karunaratne; Luca Benini; Abu Sebastian; Abbas Rahimi (CoRR, 2023)

Few-Shot Continual Learning Based on Vector Symbolic Architectures. - Geethan Karunaratne; Michael Hersche; Giovanni Cherubini; Abu Sebastian; Abbas Rahimi (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Raw data related to In-memory factorization of holographic perceptual representations. - Jovin Langenegger; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (Zenodo, 2023)

WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. - Robert Guirado; Abbas Rahimi; Geethan Karunaratne; Eduard Alarcón; Abu Sebastian; Sergi Abadal (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

A neuro-vector-symbolic architecture for solving Raven's progressive matrices. - Michael Hersche; Mustafa Zeqiri; Luca Benini; Abu Sebastian; Abbas Rahimi (Nat. Mac. Intell., 2023)

ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. - Joshua Alexander Harrison Klein; Irem Boybat; Yasir Mahmood Qureshi; Martino Dazzi; Alexandre Levisse; Giovanni Ansaloni; Marina Zapater; Abu Sebastian; David Atienza (IEEE Trans. Computers, 2023)

Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. - Sergi Abadal; Robert Guirado; Hamidreza Taghvaee; Akshay Jain 001; Elana Pereira de Santana; Peter Haring Bolívar; Mohamed Saeed; Renato Negra; Zhenxing Wang; Kun-Ta Wang; Max Christian Lemme; Joshua Alexander Harrison Klein; et al. (IEEE Wirel. Commun., 2023)

Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. - Julian Büchel; Athanasios Vasilopoulos; Benedikt Kersting; Corey Lammie; Kevin Brew; Timothy Philip; Nicole Saulnier; Vijay Narayanan; Manuel Le Gallo; Abu Sebastian (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. - Denis Kleyko; Geethan Karunaratne; Jan M. Rabaey; Abu Sebastian; Abbas Rahimi (IEEE Trans. Neural Networks Learn. Syst., 2023)

Analog AI as a Service: A Cloud Platform for In-Memory Computing. - Kaoutar El Maghraoui; Kim Tran; Kurtis Ruby; Borja Godoy; Jordan Murray; Manuel Le Gallo-Bourdeau; Todd Deshane; Pablo Gonzalez; Diego Moreda; Hadjer Benmeziane; Corey Liam Lammie; Julian Büchel; et al. (SSE, 2024)

Zero-Shot Classification Using Hyperdimensional Computing. - Samuele Ruffino; Geethan Karunaratne; Michael Hersche; Luca Benini; Abu Sebastian; Abbas Rahimi (DATE, 2024)

RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. - Gentiana Rashiti; Geethan Karunaratne; Mrinmaya Sachan; Abu Sebastian; Abbas Rahimi (ECAI, 2024)

A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. - Elena Ferro; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Luca Benini; Irem Boybat; Abu Sebastian (ISCAS, 2024)

Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. - Corey Lammie; Athanasios Vasilopoulos; Julian Büchel; Giacomo Camposampiero; Manuel Le Gallo; Malte J. Rasch; Abu Sebastian (ISCAS, 2024)

Towards Learning Abductive Reasoning Using VSA Distributed Representations. - Giacomo Camposampiero; Michael Hersche; Aleksandar Terzic; Roger Wattenhofer; Abu Sebastian; Abbas Rahimi (NeSy (1), 2024)

LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. - Corey Lammie; Flavio Ponzina; Yuxuan Wang 003; Joshua Alexander Harrison Klein; Marina Zapater; Irem Boybat; Abu Sebastian; Giovanni Ansaloni; David Atienza (CoRR, 2024)

Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures. - Michael Hersche; Francesco Di Stefano; Thomas Hofmann 001; Abu Sebastian; Abbas Rahimi (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)

In-Materia Speech Recognition. - Mohamadreza Zolfagharinejad; Julian Büchel; Lorenzo Cassola; Sachin Kinge; Syed Ghazi Sarwat; Abu Sebastian; Wilfred G. van der Wiel (CoRR, 2024)

Kernel Approximation using Analog In-Memory Computing. - Julian Büchel; Giacomo Camposampiero; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (CoRR, 2024)

The Inherent Adversarial Robustness of Analog In-Memory Computing. - Corey Lammie; Julian Büchel; Athanasios Vasilopoulos; Manuel Le Gallo; Abu Sebastian (CoRR, 2024)

On the Role of Noise in Factorizers for Disentangling Distributed Representations. - Geethan Karunaratne; Michael Hersche; Abu Sebastian; Abbas Rahimi (CoRR, 2024)

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning. - Michael Hersche; Giacomo Camposampiero; Roger Wattenhofer; Abu Sebastian; Abbas Rahimi (CoRR, 2024)

Kernel approximation using analogue in-memory computing. - Julian Büchel; Giacomo Camposampiero; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (Nat. Mac. Intell., 2024)

Designing Circuits for AiMC Based on Non-Volatile Memories: A Tutorial Brief on Trade-Off and Strategies for ADCs and DACs Co-Design. - Riccardo Vignali; Riccardo Zurla; Marco Pasotti; Pier Luigi Rolandi; Abhairaj Singh; Manuel Le Gallo; Abu Sebastian; Taekwang Jang; Alessio Antolini; Eleonora Franchi Scarselli; Alessandro Cabrini (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. - Aleksandar Terzic; Michael Hersche; Giacomo Camposampiero; Thomas Hofmann 001; Abu Sebastian; Abbas Rahimi (AAAI, 2025)

Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip. - Corey Lammie; Julian Büchel; Athanasios Vasilopoulos; Giacomo Camposampiero; Lionel Noussi; William Andrew Simon; Manuel Le Gallo; Abu Sebastian (ISCAS, 2025)

NIMA: Near In-Memory High-Precision Accumulation Unit for Heterogeneous Analog/Digital Deep Learning Acceleration. - Irem Sanli; Elena Ferro; Athanasios Vasilopoulos; Thomas Boesch; Abu Sebastian; Irem Boybat (ISCAS, 2025)

A framework for analog-digital mixed-precision neural network training and inference. - Athanasios Vasilopoulos; Emma Boulharts; Corey Lammie; Julian Büchel; Hadjer Benmeziane; Manuel Le Gallo; Abu Sebastian (ISCAS, 2025)

Author Correction: Kernel approximation using analogue in-memory computing. - Julian Büchel; Giacomo Camposampiero; Athanasios Vasilopoulos; Corey Lammie; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (Nat. Mac. Intell., 2025)

Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing. - Julian Büchel; Athanasios Vasilopoulos; William Andrew Simon; Irem Boybat; Hsinyu Tsai; Geoffrey W. Burr; Hernan Castro; Bill Filipiak; Manuel Le Gallo; Abbas Rahimi; Vijay Narayanan; Abu Sebastian (Nat. Comput. Sci., 2025)

Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty? - Giacomo Camposampiero; Michael Hersche; Roger Wattenhofer; Abu Sebastian; Abbas Rahimi (CoRR, 2025)

Analog Foundation Models. - Julian Büchel; Iason Chalas; Giovanni Acampa; An Chen 002; Omobayode Fagbohungbe; Sidney Tsai; Kaoutar El Maghraoui; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (CoRR, 2025)

Probabilistic photonic computing for AI. - Frank Brückerhoff-Plückelmann; Anna P. Ovvyan; Akhil Varri; Hendrik Borras; Bernhard Klein; Lennart Meyer; C. David Wright; Harish Bhaskaran; Syed Ghazi Sarwat; Abu Sebastian; Holger Fröning; Wolfram H. P. Pernice (Nat. Comput. Sci., 2025)

Processing-in-memory for genomics workloads. - William Andrew Simon; Leonid Yavits; Konstantina Koliogeorgi; Yann Falevoz; Yoshihiro Shibuya; Dominique Lavenier; Irem Boybat; Klea Zambaku; Berkan Sahin; Mohammad Sadrosadati; Onur Mutlu; Abu Sebastian; et al. (CoRR, 2025)

A foundation model with multi-variate parallel attention to generate neuronal activity. - Francesco S. Carzaniga; Michael Hersche; Abu Sebastian; Kaspar Anton Schindler; Abbas Rahimi (CoRR, 2025)

CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory. - William Andrew Simon; Irem Boybat; Riselda Kodra; Elena Ferro; Gagandeep Singh 002; Mohammed Alser; Shubham Jain; Hsinyu Tsai; Geoffrey W. Burr; Onur Mutlu; Abu Sebastian (IEEE Trans. Parallel Distributed Syst., 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)