Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

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Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box model that combines high accurac ...

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Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

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Sequential Reasoning with Socially Caused Beliefs

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

LIONHEART: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles

Multi-Ported GC-eDRAM Bitcell with Dynamic Port Configuration and Refresh Mechanism

Learning to Reason with Neural Networks: Principles and Methods

On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

A comparative analysis of gene expression profiling by statistical and machine learning approaches

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Mesh-based topology, shape and sizing optimization of ribbed plates

Computational design of complex protein folds and soluble analogs of membrane proteins

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

SaliencyMix plus : Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation

Aggregating Spatial and Photometric Context for Photometric Stereo

Person Re-Identification and its Application to Multi-Object Tracking

Robot Learning using Tensor Networks

Exploiting Representation Similarities in Self-Supervised Learning for Vision Tasks

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization