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Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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Chat with Graph Search

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Robust machine learning for neuroscientific inference

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Optimizing Dynamic Aperture Studies with Active Learning

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Driving and suppressing the human language network using large language models

Sparse autoregressive neural networks for classical spin systems

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

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems