Publications associées à Scalable Probabilistic Models for Face and Speaker Recognition

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

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EPFL2024

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

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In the rapidly evolving landscape of machine learning research, neural networks stand out with their ever-expanding number of parameters and reliance on increasingly large datasets. The financial cost and computational resources required for the training p ...

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Humans are chronically exposed to airborne microplastics (MPs) by inhalation. Various types of polymer particles have been detected in lung samples, which could pose a threat to human health. Inhalation toxicological studies are crucial for assessing the e ...

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Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

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EPFL2024

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Given a sequence of functions

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f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

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Current transformer-based skeletal action recognition models tend to focus on a limited set of joints and low-level motion patterns to predict action classes. This results in significant performance degradation under small skeleton perturbations or changin ...

2024