10 citations · 27 across the 9 of their papers we have counts for
10 papers
One-Way Coupling via Patchwise Adaptive Normalization in Transformer Surrogates
Emmanuel Gottlob, Hugo Thimonier, Ludovico Buizza +3
Many physical systems exhibit one-way coupling: exogenous fields such as medium density or obstacle geometry influence the dynamics without being affected by them. We investigate h…
Shieldstral
Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli +273
We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7 its size on text safety benchmarks and set…
Voxtral TTS
Mistral-AI, :, Alexander H. Liu +186
We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid…
EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition
Hugo Thimonier, Antony Perzo, Renaud Seguier
Emotion recognition from speech is a challenging task that requires capturing both linguistic and paralinguistic cues, with critical applications in human-computer interaction and…
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau +2
Self-supervision is often used for pre-training to foster performance on a downstream task by constructing meaningful representations of samples. Self-supervised learning (SSL) gen…
Retrieval Augmented Deep Anomaly Detection for Tabular Data
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel +1
Deep learning for tabular data has garnered increasing attention in recent years, yet employing deep models for structured data remains challenging. While these models excel with u…
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel +2
This study explores the application of anomaly detection (AD) methods in imbalanced learning tasks, focusing on fraud detection using real online credit card payment data. We asses…
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel +1
Anomaly detection is vital in many domains, such as finance, healthcare, and cybersecurity. In this paper, we propose a novel deep anomaly detection method for tabular data that le…
TracInAD: Measuring Influence for Anomaly Detection
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel +2
As with many other tasks, neural networks prove very effective for anomaly detection purposes. However, very few deep-learning models are suited for detecting anomalies on tabular…
Learning Long-Term Style-Preserving Blind Video Temporal Consistency
Hugo Thimonier, Julien Despois, Robin Kips +1
When trying to independently apply image-trained algorithms to successive frames in videos, noxious flickering tends to appear. State-of-the-art post-processing techniques that aim…