Zobrazeno 1 - 10
of 6 588
pro vyhledávání: '"P. DOUCET"'
Autor:
Sgouritsa, Eleni, Aglietti, Virginia, Teh, Yee Whye, Doucet, Arnaud, Gretton, Arthur, Chiappa, Silvia
The reasoning abilities of Large Language Models (LLMs) are attracting increasing attention. In this work, we focus on causal reasoning and address the task of establishing causal relationships based on correlation information, a highly challenging p
Externí odkaz:
http://arxiv.org/abs/2412.13952
Abstractive summarization has made significant strides in condensing and rephrasing large volumes of text into coherent summaries. However, summarizing administrative documents presents unique challenges due to domain-specific terminology, OCR-genera
Externí odkaz:
http://arxiv.org/abs/2412.08196
Denoising diffusion models (DDMs) offer a flexible framework for sampling from high dimensional data distributions. DDMs generate a path of probability distributions interpolating between a reference Gaussian distribution and a data distribution by i
Externí odkaz:
http://arxiv.org/abs/2412.07877
Autor:
Ding, Tong, Wagner, Sophia J., Song, Andrew H., Chen, Richard J., Lu, Ming Y., Zhang, Andrew, Vaidya, Anurag J., Jaume, Guillaume, Shaban, Muhammad, Kim, Ahrong, Williamson, Drew F. K., Chen, Bowen, Almagro-Perez, Cristina, Doucet, Paul, Sahai, Sharifa, Chen, Chengkuan, Komura, Daisuke, Kawabe, Akihiro, Ishikawa, Shumpei, Gerber, Georg, Peng, Tingying, Le, Long Phi, Mahmood, Faisal
The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). Howe
Externí odkaz:
http://arxiv.org/abs/2411.19666
Autor:
Doucet, Emery, Deffner, Sebastian
The study of measurements in quantum mechanics exposes many of the ways in which the quantum world is different. For example, one of the hallmarks of quantum mechanics is that observables may be incompatible, implying among other things that it is no
Externí odkaz:
http://arxiv.org/abs/2411.10862
An open question in \emph{Imprecise Probabilistic Machine Learning} is how to empirically derive a credal region (i.e., a closed and convex family of probabilities on the output space) from the available data, without any prior knowledge or assumptio
Externí odkaz:
http://arxiv.org/abs/2411.04852
Mass transport problems arise in many areas of machine learning whereby one wants to compute a map transporting one distribution to another. Generative modeling techniques like Generative Adversarial Networks (GANs) and Denoising Diffusion Models (DD
Externí odkaz:
http://arxiv.org/abs/2409.09347
Annealed Sequential Monte Carlo (SMC) samplers are special cases of SMC samplers where the sequence of distributions can be embedded in a smooth path of distributions. Using this underlying path of distributions and a performance model based on the v
Externí odkaz:
http://arxiv.org/abs/2408.12057
Autor:
Pontes, Elvys Linhares, González-Gallardo, Carlos-Emiliano, Benjannet, Mohamed, Qu, Caryn, Doucet, Antoine
This article details our participation (L3iTC) in the FinLLM Challenge Task 2024, focusing on two key areas: Task 1, financial text classification, and Task 2, financial text summarization. To address these challenges, we fine-tuned several large lan
Externí odkaz:
http://arxiv.org/abs/2408.03033
Neutron-Transformer Reflectometry and Advanced Computation Engine (N-TRACE ), a neural network model using transformer architecture, is introduced for neutron reflectometry data analysis. It offers fast, accurate initial parameter estimations and eff
Externí odkaz:
http://arxiv.org/abs/2406.16741