Publications related to Applications of artificial intelligence

Inverse Reinforcement Learning of Pedestrian-Robot Coordination

We apply inverse reinforcement learning (IRL) with a novel cost feature to the problem of robot navigation in human crowds. Consistent with prior empirical work on pedestrian behavior, the feature anticipates collisions between agents. We efficiently learn ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Out of their minds? Externalist challenges for using AI in forensic psychiatry

Marcello Ienca, Ambra D'imperio

Harnessing the power of machine learning (ML) and other Artificial Intelligence (AI) techniques promises substantial improvements across forensic psychiatry, supposedly offering more objective evaluations and predictions. However, AI-based predictions abou ...

FRONTIERS MEDIA SA2023

An exact mapping from ReLU networks to spiking neural networks

Wulfram Gerstner, Stanislaw Andrzej Wozniak, Ana Stanojevic, Giovanni Cherubini, Angeliki Pantazi

Deep spiking neural networks (SNNs) offer the promise of low-power artificial intelligence. However, training deep SNNs from scratch or converting deep artificial neural networks to SNNs without loss of performance has been a challenge. Here we propose an ...

2023

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Sébastien Marcel, Parsa Rahimi Noshanagh, Christophe René Joseph Ecabert

Recently, it has been exposed that some modern facial recognition systems could discriminate specific demographic groups and may lead to unfair attention with respect to various facial attributes such as gender and origin. The main reason are the biases in ...

IEEE2023

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Rachid Guerraoui, Nirupam Gupta, John Stephan, Youssef Allouah, Rafaël Benjamin Pinot

The ubiquity of distributed machine learning (ML) in sensitive public domain applications calls for algorithms that protect data privacy, while being robust to faults and adversarial behaviors. Although privacy and robustness have been extensively studied ...

2023

Harnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices

Denis Gillet, Juan Carlos Farah, Sandy Ingram, Adrian Christian Holzer

In recent years, the use of chatbots in education has been driven by advances in natural language processing and the increasing availability of digital education platforms. Although the added value of educational chatbots appears promising, researchers hav ...

2023

Networked Signal and Information Processing: Learning by multiagent systems

Ali H. Sayed, Stefan Vlaski

This article reviews significant advances in networked signal and information processing (SIP), which have enabled in the last 25 years extending decision making and inference, optimization, control, and learning to the increasingly ubiquitous environments ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Alireza Amirshahi, Saleh Baghersalimi

The development of low-power wearable systems requires specialized techniques to accommodate their unique requirements and constraints. While significant advancements have been made in the inference phase of artificial intelligence, the training phase rema ...

2023

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Applications of artificial intelligence

Impact of Video Processing Operations in Deepfake Detection

Inverse Reinforcement Learning of Pedestrian-Robot Coordination

Out of their minds? Externalist challenges for using AI in forensic psychiatry

An exact mapping from ReLU networks to spiking neural networks

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Distributed Optimization with Byzantine Robustness Guarantees

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Harnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices

Networked Signal and Information Processing: Learning by multiagent systems

Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems

Graph Chatbot

Chat with Graph Search

Inverse Reinforcement Learning of Pedestrian-Robot Coordination

Impact of Video Processing Operations in Deepfake Detection

Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups

Out of their minds? Externalist challenges for using AI in forensic psychiatry

Distributed Optimization with Byzantine Robustness Guarantees

Networked Signal and Information Processing: Learning by multiagent systems

An exact mapping from ReLU networks to spiking neural networks

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems

Harnessing Rule-Based Chatbots to Support Teaching Python Programming Best Practices