Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition

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Many empirical studies have provided evidence for the emergence of algorithmic mechanisms (abilities) in the learning of language models, that lead to qualitative improvements in the model capabilities. Yet, a theoretical characterization of how such mecha ...

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Learning-Based Image Compression using Convolutional Autoencoder and Wavelet Decomposition

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A phase transition between positional and semantic learning in a solvable model of dot-product attention

Understanding generalization and robustness in modern deep learning

Training hybrid neural networks with multimode optical nonlinearities using digital twins

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Foundations of a New Learning Paradigm in AI Grounded in the Principles of Evolutionary Developmental Biology

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

The Skin of Venice: A Computational Approach to the City's Urban Structure

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

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Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Sequential CNN-based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays

Predicting the long-term collective behaviour of fish pairs with deep learning

Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features

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RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition