Zobrazeno 1 - 10
of 11 560
pro vyhledávání: '"Bewley A"'
Autor:
Bewley A, Figueras-Nart I, Zhang J, Guerreiro M, Tietz N, Chtourou S, Durand F, Blume-Peytavi U
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 17, Pp 751-761 (2024)
Anthony Bewley,1 Ignasi Figueras-Nart,2 Jainzhong Zhang,3 Mariana Guerreiro,4 Nicole Tietz,4 Sami Chtourou,4 Frederick Durand,4 Ulrike Blume-Peytavi5 1Department of Dermatology, The Royal London Hospital & Queen Mary University, London, UK; 2Departme
Externí odkaz:
https://doaj.org/article/b77a28aa5d11473e9d1cc55b72da69e3
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 15, Pp 809-814 (2022)
Ahmad Jalili,1 Anthony Bewley,2 Michael Sticherling,3 Linda Stein Gold4 1Dermatology & Skin Care Clinic, Buochs, Switzerland; 2Barts Health NHS Trust and Queen Mary University London, London, UK; 3Department of Dermatology, Psoriasis Center, Universi
Externí odkaz:
https://doaj.org/article/f8e60455ae5f4e14bccc0dc0ed83a3b0
Autor:
Hudson RDA, Ameen M, George SMC, Harwood CA, Weller RB, Lear JT, Rout R, Surendranathan T, Petrovic M, Bewley AP
Publikováno v:
ClinicoEconomics and Outcomes Research, Vol Volume 14, Pp 167-177 (2022)
Richard DA Hudson,1 Mahreen Ameen,2 Susannah MC George,3 Catherine A Harwood,4,5 Richard B Weller,6,7 John T Lear,8,9 Rajesh Rout,1 Thishi Surendranathan,1 Milos Petrovic,1 Anthony P Bewley4 1Sanofi, Berkshire, UK; 2Royal Free NHS Foundation Trust, L
Externí odkaz:
https://doaj.org/article/e3bde582841b401c862ee615a6e7bd41
Publikováno v:
Psoriasis: Targets and Therapy, Vol Volume 12, Pp 25-33 (2022)
Brittany Blackstone,1,* Radhika Patel,1,* Anthony Bewley2 1Bart’s Health NHS Foundation Trust, London, UK; 2Barts Health NHS Trust, Queen Mary University London, London, UK*These authors contributed equally to this workCorrespondence: B
Externí odkaz:
https://doaj.org/article/2b09cbed7f2c47b0b3112d7db9d53b38
Autor:
Reid, Isaac, Dubey, Kumar Avinava, Jain, Deepali, Whitney, Will, Ahmed, Amr, Ainslie, Joshua, Bewley, Alex, Jacob, Mithun, Mehta, Aranyak, Rendleman, David, Schenck, Connor, Turner, Richard E., Wagner, René, Weller, Adrian, Choromanski, Krzysztof
When training transformers on graph-structured data, incorporating information about the underlying topology is crucial for good performance. Topological masking, a type of relative position encoding, achieves this by upweighting or downweighting att
Externí odkaz:
http://arxiv.org/abs/2410.03462
Autor:
Wulfmeier, Markus, Bloesch, Michael, Vieillard, Nino, Ahuja, Arun, Bornschein, Jorg, Huang, Sandy, Sokolov, Artem, Barnes, Matt, Desjardins, Guillaume, Bewley, Alex, Bechtle, Sarah Maria Elisabeth, Springenberg, Jost Tobias, Momchev, Nikola, Bachem, Olivier, Geist, Matthieu, Riedmiller, Martin
The majority of language model training builds on imitation learning. It covers pretraining, supervised fine-tuning, and affects the starting conditions for reinforcement learning from human feedback (RLHF). The simplicity and scalability of maximum
Externí odkaz:
http://arxiv.org/abs/2409.01369
Autor:
Wehinger, B., Lisandrini, F. T., Kestin, N., Bouillot, P., Ward, S., Biner, D., Bewley, R., Krämer, K. W., Normand, B., Kollath, C., Giamarchi, T., Läuchli, A. M., Rüegg, Ch.
Supersymmetry is an algebraic property of a class of quantum Hamiltonians, a guiding principle used in the development of nuclear theory and a concept that may underpin physics beyond the Standard Model. In condensed matter, any symmetry between boso
Externí odkaz:
http://arxiv.org/abs/2408.12626
Autor:
D'Ambrosio, David B., Abeyruwan, Saminda, Graesser, Laura, Iscen, Atil, Amor, Heni Ben, Bewley, Alex, Reed, Barney J., Reymann, Krista, Takayama, Leila, Tassa, Yuval, Choromanski, Krzysztof, Coumans, Erwin, Jain, Deepali, Jaitly, Navdeep, Jaques, Natasha, Kataoka, Satoshi, Kuang, Yuheng, Lazic, Nevena, Mahjourian, Reza, Moore, Sherry, Oslund, Kenneth, Shankar, Anish, Sindhwani, Vikas, Vanhoucke, Vincent, Vesom, Grace, Xu, Peng, Sanketi, Pannag R.
Achieving human-level speed and performance on real world tasks is a north star for the robotics research community. This work takes a step towards that goal and presents the first learned robot agent that reaches amateur human-level performance in c
Externí odkaz:
http://arxiv.org/abs/2408.03906
We introduce T-CREx, a novel model-agnostic method for local and global counterfactual explanation (CE), which summarises recourse options for both individuals and groups in the form of human-readable rules. It leverages tree-based surrogate models t
Externí odkaz:
http://arxiv.org/abs/2405.18875
Visual relationship detection aims to identify objects and their relationships in images. Prior methods approach this task by adding separate relationship modules or decoders to existing object detection architectures. This separation increases compl
Externí odkaz:
http://arxiv.org/abs/2403.14270