Fabrizio Lombardi

Northeastern University

United States

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Articles (31)

Collaborators (12)

David Mitchell

Assistant Professor

University of New Mexico

UNITED STATES

WEI TANG

University of New Mexico

UNITED STATES

Alfonso Sánchez-Macián

Associate Professor

Universidad Carlos III de Madrid Escuela Politécnica Superior

ALVARO ALONSO GONZALEZ

Universidad Politécnica de Madrid

Paolo Montuschi

Full professor

Politecnico di Torino

Elena Merino-Gómez

Universidad de Valladolid

Joaquín Salvachúa

Universidad Politécnica de Madrid

GABRIEL HUECAS FERNANDEZ-TORIBIO

Universidad Politécnica de Madrid

Pedro Reviriego

José Alberto Hernández

Universidad Carlos III de Madrid

Yuechen Chen

Assistant Professor

Frostburg State University

UNITED STATES

Javier Conde Díaz

Assistant Professor

Universidad Politécnica de Madrid

Fabrizio Lombardi

Research Interests

Explore related searches

Contact this professor

Articles (31)

Perturbation-based error detection and correction (PBEDC) in dependable large-scale machine learning systems

A Configurable Floating-Point Fused Multiply-Add Design With Mixed Precision for AI Accelerators

Fault Tolerance in Triplet Network Training: Analysis, Evaluation and Protection Methods

Four Reduced Precision Redundancy by Approximation (4RPA): Design and Analysis of 4-Module Systems

Robustness Against Faults in Configuration Memories of FPGA-Based LLMs

Can ChatGPT Learn to Count Letters?

Dependability and Protection of Transformer Models Against Soft Errors on Text Embeddings

Operating Conversational Large Language Models (LLMs)in the Presenceof Errors

Dependability of the K Minimum Values Sketch: Protection and Comparative Analysis

Adaptive Separately Constrained Triplet Loss (A-SCTL) for High-Performance Triplet Networks

Understanding the Impact of Artificial Intelligence in Academic Writing: Metadata to the Rescue

A Balanced Sparse Matrix Convolution Accelerator for Efficient CNN Training

Chiplet-GAN: Chiplet-Based Accelerator Design for Scalable Generative Adversarial Network Inference [Feature]

On the Security of Quotient Filters: Attacks and Potential Countermeasures

Speed and Conversational Large Language Models: Not All Is About Tokens per Second

Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things

Learning the Error Features of Approximate Multipliers for Neural Network Applications

Understanding the Impact of Artificial Intelligence in Academic Writing: Metadata to the Rescue

ASIC Design of Nanoscale Artificial Neural Networks for Inference/Training by Floating-Point Arithmetic

Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems

Tolerance of Siamese Networks (SNs) to Memory Errors: Analysis and Design

Joint Learning and Channel Coding for Error-Tolerant IoT Systems based on Machine Learning

On the Privacy of Counting Bloom Filters Under a Black-Box Attacker

Attacking the Privacy of Approximate Membership Check Filters by Positive Concentration

The Byzantine Empire and Its Generals: An Ancient Empire Back to Life in Computer Security

Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems

A Technique for Approximate Communication in Network-on-Chips for Image Classification

Security and Approximation: Vulnerabilities in Approximation-Aware Testing

Slack-Aware Packet Approximation for Energy-Efficient Network-on-Chips

Approximate Softmax Functions for Energy-Efficient Deep Neural Networks

On the Privacy of Counting Bloom Filters

Collaborators (12)

David Mitchell

WEI TANG

Alfonso Sánchez-Macián

ALVARO ALONSO GONZALEZ

Paolo Montuschi

Elena Merino-Gómez

Joaquín Salvachúa

GABRIEL HUECAS FERNANDEZ-TORIBIO

Pedro Reviriego

José Alberto Hernández

Yuechen Chen

Javier Conde Díaz

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