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Autor:
Ahyoune, S., Altenmueller, K., Antolin, I., Basso, S., Brun, P., Candon, F. R., Castel, J. F., Cebrian, S., Chouhan, D., Della Ceca, R., Cervera-Cortes, M., Chernov, V., Civitani, M. M., Cogollos, C., Costa, E., Cotroneo, V., Dafni, T., Derbin, A., Desch, K., Diaz-Martin, M. C., Diaz-Morcillo, A., Diez-Ibanez, D., Pardos, C. Diez, Dinter, M., Doebrich, B., Drachnev, I., Dudarev, A., Ezquerro, A., Fabiani, S., Ferrer-Ribas, E., Finelli, F., Fleck, I., Galan, J., Galanti, G., Galaverni, M., Garcia, J. A., Garcia-Barcelo, J. M., Gastaldo, L., Giannotti, M., Giganon, A., Goblin, C., Goyal, N., Gu, Y., Hagge, L., Helary, L., Hengstler, D., Heuchel, D., Hoof, S., Iglesias-Marzoa, R., Iguaz, F. J., Iniguez, C., Irastorza, I. G., Jakovcic, K., Kaefer, D., Kaminski, J., Karstensen, S., Law, M., Lindner, A., Loidl, M., Loiseau, C., Lopez-Alegre, G., Lozano-Guerrero, A., Lubsandorzhiev, B., Luzon, G., Manthos, I., Margalejo, C., Marin-Franch, A., Marques, J., Marutzky, F., Menneglier, C., Mentink, M., Mertens, S., Miralda-Escude, J., Mirallas, H., Muleri, F., Muratova, V., Navarro-Madrid, J. R., Navick, X. F., Nikolopoulos, K., Notari, A., Nozik, A., Obis, L., Ortiz-de-Solorzano, A., O'Shea, T., von Oy, J., Pareschi, G., Papaevangelou, T., Perez, K., Perez, O., Picatoste, E., Pivovaroff, M. J., Porron, J., Puyuelo, M. J., Quintana, A., Redondo, J., Reuther, D., Ringwald, A., Rodrigues, M., Rubini, A., Rueda-Teruel, S., Rueda-Teruel, F., Ruiz-Choliz, E., Ruz, J., Schaffran, J., Schiffer, T., Schmidt, S., Schneekloth, U., Schoenfeld, L., Schott, M., Segui, L., Singh, U. R., Soffitta, P., Spiga, D., Stern, M., Straniero, O., Tavecchio, F., Unzhakov, E., Ushakov, N. A., Vecchi, G., Vogel, J. K., Voronin, D. M., Ward, R., Weltman, A., Wiesinger, C., Wolf, R., Yanes-Diaz, A., Yu, Y.
BabyIAXO is the intermediate stage of the International Axion Observatory (IAXO) to be hosted at DESY. Its primary goal is the detection of solar axions following the axion helioscope technique. Axions are converted into photons in a large magnet tha
Externí odkaz:
http://arxiv.org/abs/2411.13915
Understanding the complex dynamics of high-dimensional, contingent, and strongly nonlinear economic data, often shaped by multiplicative processes, poses significant challenges for traditional regression methods as such methods offer limited capacity
Externí odkaz:
http://arxiv.org/abs/2410.19835
Autor:
Chen, Shengjia, Campanella, Gabriele, Elmas, Abdulkadir, Stock, Aryeh, Zeng, Jennifer, Polydorides, Alexandros D., Schoenfeld, Adam J., Huang, Kuan-lin, Houldsworth, Jane, Vanderbilt, Chad, Fuchs, Thomas J.
Recent advances in artificial intelligence (AI), in particular self-supervised learning of foundation models (FMs), are revolutionizing medical imaging and computational pathology (CPath). A constant challenge in the analysis of digital Whole Slide I
Externí odkaz:
http://arxiv.org/abs/2407.07841
Autor:
Campanella, Gabriele, Chen, Shengjia, Verma, Ruchika, Zeng, Jennifer, Stock, Aryeh, Croken, Matt, Veremis, Brandon, Elmas, Abdulkadir, Huang, Kuan-lin, Kwan, Ricky, Houldsworth, Jane, Schoenfeld, Adam J., Vanderbilt, Chad
The use of self-supervised learning (SSL) to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantities of clinical data have been made publicly available in recent months.
Externí odkaz:
http://arxiv.org/abs/2407.06508
Autor:
Thielemann, Fabian, Siemund, Joachim, von Schoenfeld, Daniel, Wu, Wei, Weckesser, Pascal, Jachymski, Krzysztof, Walker, Thomas, Schaetz, Tobias
Revealing the quantum properties of matter requires a high degree of experimental control accompanied by a profound theoretical understanding. At ultracold temperatures, quantities that appear continuous in everyday life, such as the motional angular
Externí odkaz:
http://arxiv.org/abs/2406.13410
Autor:
Baumann, Oliver, Nandini, Durgesh, Rossanez, Anderson, Schoenfeld, Mirco, Reis, Julio Cesar dos
Traditional recommendation proposals, including content-based and collaborative filtering, usually focus on similarity between items or users. Existing approaches lack ways of introducing unexpectedness into recommendations, prioritizing globally pop
Externí odkaz:
http://arxiv.org/abs/2405.08465
Autor:
Kohler, Jonas, Pumarola, Albert, Schönfeld, Edgar, Sanakoyeu, Artsiom, Sumbaly, Roshan, Vajda, Peter, Thabet, Ali
Diffusion models are a powerful generative framework, but come with expensive inference. Existing acceleration methods often compromise image quality or fail under complex conditioning when operating in an extremely low-step regime. In this work, we
Externí odkaz:
http://arxiv.org/abs/2405.05224
Autor:
Yan, David, Zhang, Winnie, Zhang, Luxin, Kalia, Anmol, Wang, Dingkang, Ramchandani, Ankit, Liu, Miao, Pumarola, Albert, Schoenfeld, Edgar, Blanchard, Elliot, Narni, Krishna, Luo, Yaqiao, Chen, Lawrence, Pang, Guan, Thabet, Ali, Vajda, Peter, Bearman, Amy, Yu, Licheng
We introduce animated stickers, a video diffusion model which generates an animation conditioned on a text prompt and static sticker image. Our model is built on top of the state-of-the-art Emu text-to-image model, with the addition of temporal layer
Externí odkaz:
http://arxiv.org/abs/2402.06088
Autor:
Carmès, Léna, Bort, Guillaume, Lux, François, Seban, Léa, Rocchi, Paul, Muradova, Zeinaf, Hagège, Agnès, Heinrich-Balard, Laurence, Delolme, Frédéric, Gueguen-Chaignon, Virginie, Truillet, Charles, Crowley, Stephanie, Bello, Elisa, Doussineau, Tristan, Dougan, Michael, Tillement, Olivier, Schoenfeld, Jonathan, Brown, Needa, Berbeco, Ross
Comparison of click chemistry and sortagging grafting strategies for functionalizing AGuIX nanoparticles with nanobodies to develop a tri-functional technology combining MRI imaging, radiotherapy, and immunotherapy by inhibiting immune checkpoints.
Externí odkaz:
http://arxiv.org/abs/2401.02149
Autor:
Wimbauer, Felix, Wu, Bichen, Schoenfeld, Edgar, Dai, Xiaoliang, Hou, Ji, He, Zijian, Sanakoyeu, Artsiom, Zhang, Peizhao, Tsai, Sam, Kohler, Jonas, Rupprecht, Christian, Cremers, Daniel, Vajda, Peter, Wang, Jialiang
Diffusion models have recently revolutionized the field of image synthesis due to their ability to generate photorealistic images. However, one of the major drawbacks of diffusion models is that the image generation process is costly. A large image-t
Externí odkaz:
http://arxiv.org/abs/2312.03209