Publications

Neural network prediction of the effect of thermomechanical controlled processing on mechanical properties
Sushant Sinha
Denzel Guye
Xiaoping Ma
Kashif Rehman
Stephen Yue
Narges Armanfard
2024-02-29
Machine Learning with Applications (publié)
doi.org
Novel community data in ecology-properties and prospects.
Florian Hartig
Nerea Abrego
Alex Bush
Jonathan M. Chase
G. Guillera‐Arroita
M. Leibold
Otso T. Ovaskainen
Loïc Pellissier
Maximilian Pichler
Giovanni Poggiato
Laura J. Pollock
Sara Si-moussi
Wilfried Thuiller
Duarte S Viana
D. Warton
Damaris Zurell
Douglas W. Yu
2024-02-29
Trends in Ecology & Evolution (publié)
doi.org
arxiv.org
Reply to: Model uncertainty obscures major driver of soil carbon
Feng Tao
Benjamin Z. Houlton
Serita D. Frey
Johannes Lehmann
Stefano Manzoni
Yuanyuan Huang
Lifen Jiang
Umakant Mishra
Bruce A. Hungate
Michael W. I. Schmidt
Markus Reichstein
Nuno Carvalhais
Philippe Ciais
Ying-Ping Wang
Bernhard Ahrens
Gustaf Hugelius
Toby Dylan Hocking
Xingjie Lu
Zheng Shi
Kostiantyn Viatkin … (voir 15 de plus)
K. Viatkin
Ronald Vargas
Yusuf Yigini
Christian Omuto
Ashish A. Malik
Guillermo Peralta
Rosa Cuevas-Corona
Luciano E. Di Paolo
Isabel Luotto
Cuijuan Liao
Yi-Shuang Liang
Yixin Liang
Vinisa S. Saynes
Xiaomeng Huang
Yiqi Luo
2024-02-29
Nature (publié)
doi.org
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models
Amal Rannen-Triki
Jörg Bornschein
Razvan Pascanu
Marcus Hutter
Andr'as Gyorgy
Alexandre Galashov
Yee Whye Teh
Michalis K. Titsias
We consider the problem of online fine tuning the parameters of a language model at test time, also known as dynamic evaluation. While it is… (voir plus) generally known that this approach improves the overall predictive performance, especially when considering distributional shift between training and evaluation data, we here emphasize the perspective that online adaptation turns parameters into temporally changing states and provides a form of context-length extension with memory in weights, more in line with the concept of memory in neuroscience. We pay particular attention to the speed of adaptation (in terms of sample efficiency),sensitivity to the overall distributional drift, and the computational overhead for performing gradient computations and parameter updates. Our empirical study provides insights on when online adaptation is particularly interesting. We highlight that with online adaptation the conceptual distinction between in-context learning and fine tuning blurs: both are methods to condition the model on previously observed tokens.
2024-02-29
arXiv (publié)
doi.org
arxiv.org
Socially Assistive Robots for patients with Alzheimer's Disease: A scoping review.
Vania Karami
Mark J. Yaffe
Genevieve Gore
AJung Moon
S. A. Rahimi
2024-02-29
Archives of gerontology and geriatrics (Print) (publié)
doi.org
Substitution of dietary monounsaturated fatty acids from olive oil for saturated fatty acids from lard increases low-density lipoprotein apolipoprotein B-100 fractional catabolic rate in subjects with dyslipidemia associated with insulin resistance: a randomized controlled trial
Louis-Charles Desjardins
Francis Brière
André J Tremblay
Maryka Rancourt-Bouchard
Jean-Philippe Drouin-Chartier
J. Corbeil
Valéry Lemelin
Amélie Charest
Ernst J Schaefer
Benoit Lamarche
Patrick Couture
2024-02-29
American Journal of Clinical Nutrition (publié)
doi.org
Substitution of dietary monounsaturated fatty acids from olive oil for saturated fatty acids from lard increases LDL apolipoprotein B-100 fractional catabolic rate in subjects with dyslipidemia associated with insulin resistance: a randomized controlled trial.
Louis-Charles Desjardins
Francis Brière
André J Tremblay
Maryka Rancourt-Bouchard
Jean-Philippe Drouin-Chartier
J. Corbeil
Valéry Lemelin
Amélie Charest
Ernst J Schaefer
Benoit Lamarche
Patrick Couture
2024-02-29
American Journal of Clinical Nutrition (publié)
doi.org
The effects of nature-based vs. indoor settings on the adaptability, performance and affect of calisthenics exercisers. A registered report.
Henrique Brito
Henrique Lopes
Margarida Carvalho
Daniel Carrilho
Adriano Carvalho
Duarte Araújo
2024-02-29
Psychology of Sport And Exercise (publié)
doi.org
The « jingle-jangle fallacy » of empathy: Delineating affective, cognitive and motor components of empathy from behavioral synchrony using a virtual agent
Julia Ayache
Guillaume Dumas
Alexander Sumich
D. Kuss
Darren Rhodes
Nadja Heym
2024-02-29
Personality and Individual Differences (publié)
doi.org
The World Health Organization as an engine of ideational robustness
Jean-Louis Denis
Gaëlle Foucault
Pierre Larouche
Catherine Régis
Miriam Cohen
Marie-Andree Girard
The paper focuses on the role of the World Health Organization (WHO) in promoting a healthy world population as a generative and robust idea… (voir plus) within health policy. The WHO’s health credo transcends national boundaries to promote health globally. It is embedded in norms, values, and standards promulgated by the organization and contributes in shaping the health responses of national governments. Ideational robustness refers to the ability of the WHO to adapt its health credo to changing contexts and circumstances, thus promoting the legitimacy of an international health order. Disturbances, including the Covid-19 pandemic, test the credo’s robustness, forcing the WHO to constantly work at reframing ideas to adapt to political forces and competing logics that structure the field of international health. Empirically, the paper is based on an historical analysis of the evolution of the health credo of the WHO since its inception. Qualitative content analysis of secondary sources, such as policy documents, explores how ideational work performed by WHO leaders impacts on the organization’s position and legitimacy. Ideational robustness appears to be largely influenced by leadership vision, preexisting organizational structure, and the political economy of international health. Ideational robustness appears as a powerful yet insufficient ingredient of policy success.
2024-02-29
Policy and Society (publié)
doi.org
Towards a connection between the capacitated vehicle routing problem and the constrained centroid-based clustering
Abdelhakim Abdellaoui
Loubna Benabbou
Issmail ElHallaoui
Efficiently solving a vehicle routing problem (VRP) in a practical runtime is a critical challenge for delivery management companies. This p… (voir plus)aper explores both a theoretical and experimental connection between the Capacitated Vehicle Routing Problem (CVRP) and the Constrained Centroid-Based Clustering (CCBC). Reducing a CVRP to a CCBC is a synonym for a transition from an exponential to a polynomial complexity using commonly known algorithms for clustering, i.e K-means. At the beginning, we conduct an exploratory analysis to highlight the existence of such a relationship between the two problems through illustrative small-size examples and simultaneously deduce some mathematically-related formulations and properties. On a second level, the paper proposes a CCBC based approach endowed with some enhancements. The proposed framework consists of three stages. At the first step, a constrained centroid-based clustering algorithm generates feasible clusters of customers. This methodology incorporates three enhancement tools to achieve near-optimal clusters, namely: a multi-start procedure for initial centroids, a customer assignment metric, and a self-adjustment mechanism for choosing the number of clusters. At the second step, a traveling salesman problem (T SP) solver is used to optimize the order of customers within each cluster. Finally, we introduce a process relying on routes cutting and relinking procedure, which calls upon solving a linear and integer programming model to further improve the obtained routes. This step is inspired by the ruin&recreate algorithm. This approach is an extension of the classical cluster-first, route-second method and provides near-optimal solutions on well-known benchmark instances in terms of solution quality and computational runtime, offering a milestone in solving VRP.
2024-02-29
arXiv (publié)
doi.org
arxiv.org
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation
Maxime Darrin
Philippe Formont
Jackie Chi Kit Cheung
Pablo Piantanida
Assessing the quality of summarizers poses significant challenges. In response, we propose a novel task-oriented evaluation approach that as… (voir plus)sesses summarizers based on their capacity to produce summaries that are useful for downstream tasks, while preserving task outcomes. We theoretically establish a direct relationship between the resulting error probability of these tasks and the mutual information between source texts and generated summaries. We introduce
2024-02-28
ArXiv (prépublication)
doi.org
arxiv.org