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pro vyhledávání: '"Lippe, P A"'
Large Language Models (LLMs) have recently shown great promise in planning and reasoning applications. These tasks demand robust systems, which arguably require a causal understanding of the environment. While LLMs can acquire and reflect common sens
Externí odkaz:
http://arxiv.org/abs/2410.19923
Autor:
Fernández, Daniel Gallo, van der Klis, Robert, Matişan, Răzvan-Andrei, Partyka, Janusz, Gavves, Efstratios, Papa, Samuele, Lippe, Phillip
While vision transformers are able to solve a wide variety of computer vision tasks, no pre-training method has yet demonstrated the same scaling laws as observed in language models. Autoregressive models show promising results, but are commonly trai
Externí odkaz:
http://arxiv.org/abs/2410.10012
Causal Representation Learning (CRL) aims at identifying high-level causal factors and their relationships from high-dimensional observations, e.g., images. While most CRL works focus on learning causal representations in a single environment, in thi
Externí odkaz:
http://arxiv.org/abs/2403.09830
Autor:
Papa, Samuele, Valperga, Riccardo, Knigge, David, Kofinas, Miltiadis, Lippe, Phillip, Sonke, Jan-Jakob, Gavves, Efstratios
Neural fields (NeFs) have recently emerged as a versatile method for modeling signals of various modalities, including images, shapes, and scenes. Subsequently, a number of works have explored the use of NeFs as representations for downstream tasks,
Externí odkaz:
http://arxiv.org/abs/2312.10531
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Ageing populations and the ability to cure an increasing number of ailments put pressure on the health care sector. Meanwhile, care institutions retreat from rural areas and some governments emphasizes the need for citizens to fin
Externí odkaz:
https://doaj.org/article/a3a9be1867d8435085d95b4eba9bba16
Autor:
Gabriele Coluccino, Alessandro Negro, Antonio Filippi, Camilla Bean, Valentina Pia Muraca, Clarissa Gissi, Diana Canetti, Maria Chiara Mimmi, Elisa Zamprogno, Francesco Ciscato, Laura Acquasaliente, Vincenzo De Filippis, Marina Comelli, Michela Carraro, Andrea Rasola, Christoph Gerle, Paolo Bernardi, Alessandra Corazza, Giovanna Lippe
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Cyclophilin (CyP) D is a regulator of the mitochondrial F-ATP synthase. Here we report the discovery of a form of CyPD lacking the first 10 (mouse) or 13 (human) N-terminal residues (ΔN-CyPD), a protein region with species-specific features
Externí odkaz:
https://doaj.org/article/396ffbc5f7dc47788870300bd1a4f6a6
Autor:
Arthur Kavanaugh, Philip Mease, Laure Gossec, Roberto Ranza, Shigeyoshi Tsuji, Kevin Douglas, Michael Lane, Ralph Lippe, Manish Mittal, Tianming Gao, Arathi Setty, Sandra Ciecinski, Daniel Aletaha, Peter Nash
Publikováno v:
ACR Open Rheumatology, Vol 6, Iss 11, Pp 736-745 (2024)
Objective We explored the relationship between achievement of clinical disease control and improvements in and normative values for patient‐reported outcomes (PROs), including quality of life (QoL) measures, in patients with psoriatic arthritis (Ps
Externí odkaz:
https://doaj.org/article/68885dcde7f34e47b390d4e348fea563
Autor:
Brecht Devleesschauwer, Periklis Charalampous, Vanessa Gorasso, Ricardo Assunção, Henk Hilderink, Jane Idavain, Tina Lesnik, Milena Santric-Milicevic, Elena Pallari, Sara M. Pires, Dietrich Plass, Grant M. A. Wyper, Elena Von der Lippe, Juanita A. Haagsma
Publikováno v:
Population Health Metrics, Vol 22, Iss 1, Pp 1-7 (2024)
Abstract Background The burden of disease (BOD) approach, originating with the Global Burden of Disease (GBD) study in the 1990s, has become a cornerstone for population health monitoring. Despite the widespread use of the Disability-Adjusted Life Ye
Externí odkaz:
https://doaj.org/article/78b4de7b35a54602a83a34e787d54ae1
Autor:
Lippe, Phillip, Veeling, Bastiaan S., Perdikaris, Paris, Turner, Richard E., Brandstetter, Johannes
Time-dependent partial differential equations (PDEs) are ubiquitous in science and engineering. Recently, mostly due to the high computational cost of traditional solution techniques, deep neural network based surrogates have gained increased interes
Externí odkaz:
http://arxiv.org/abs/2308.05732
Autor:
Lippe, Phillip, Magliacane, Sara, Löwe, Sindy, Asano, Yuki M., Cohen, Taco, Gavves, Efstratios
Identifying the causal variables of an environment and how to intervene on them is of core value in applications such as robotics and embodied AI. While an agent can commonly interact with the environment and may implicitly perturb the behavior of so
Externí odkaz:
http://arxiv.org/abs/2306.09643