Zobrazeno 1 - 10
of 4 065
pro vyhledávání: '"Welling, P. A."'
Autor:
Agarwal, S., Aguilar, J. A., Alden, N., Ali, S., Allison, P., Betts, M., Besson, D., Bishop, A., Botner, O., Bouma, S., Buitink, S., Camphyn, R., Cataldo, M., Chiche, S., Clark, B. A., Coleman, A., Couberly, K., de Kockere, S., de Vries, K. D., Deaconu, C., Glaser, C., Glüsenkamp, T., Hallgren, A., Hallmann, S., Hanson, J. C., Hendricks, B., Henrichs, J., Heyer, N., Hornhuber, C., Hughes, K., Karg, T., Karle, A., Kelley, J. L., Kerr, C., Klein, C., Korntheuer, M., Kowalski, M., Kravchenko, I., Krebs, R., Lahmann, R., Latif, U., Laub, P., Liu, C. -H., Marsee, M. J., Meyers, Z. S., Mikhailova, M., Mulrey, K., Muzio, M., Nelles, A., Novikov, A., Nozdrina, A., Oberla, E., Oeyen, B., Polfrey, S., Punsuebsay, N., Pyras, L., Ravn, M., Reichert, M., Rix, J., Ryckbosch, D., Schlüter, F., Scholten, O., Seckel, D., Seikh, M. F. H., Smith, D., Stoffels, J., Terveer, K., Toscano, S., Tosi, D., Tutt, J., Broeck, D. J. Van Den, van Eijndhoven, N., Vieregg, A. G., Vijai, A., Welling, C., Williams, D. R., Windischhofer, P., Veale, J., Wissel, S., Young, R., Zink, A.
The Radio Neutrino Observatory in Greenland (RNO-G) is the first in-ice radio array in the northern hemisphere for the detection of ultra-high energy neutrinos via the coherent radio emission from neutrino-induced particle cascades within the ice. Th
Externí odkaz:
http://arxiv.org/abs/2411.12922
It has long been known in both neuroscience and AI that ``binding'' between neurons leads to a form of competitive learning where representations are compressed in order to represent more abstract concepts in deeper layers of the network. More recent
Externí odkaz:
http://arxiv.org/abs/2410.13821
There is a vast literature on representation learning based on principles such as coding efficiency, statistical independence, causality, controllability, or symmetry. In this paper we propose to learn representations from sequence data by factorizin
Externí odkaz:
http://arxiv.org/abs/2410.05564
Diffusion generative models transform noise into data by inverting a process that progressively adds noise to data samples. Inspired by concepts from the renormalization group in physics, which analyzes systems across different scales, we revisit dif
Externí odkaz:
http://arxiv.org/abs/2410.02667
There is now substantial evidence for traveling waves and other structured spatiotemporal recurrent neural dynamics in cortical structures; but these observations have typically been difficult to reconcile with notions of topographically organized se
Externí odkaz:
http://arxiv.org/abs/2409.13669
This paper considers an information theoretic model of secure integrated sensing and communication, represented as a wiretap channel with action dependent states. This model allows securing part of a transmitted message against a sensed target that e
Externí odkaz:
http://arxiv.org/abs/2409.04619
Publikováno v:
2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024, pp. 2580-2585
This work models a secure integrated sensing and communication (ISAC) system as a wiretap channel with action-dependent channel states and channel output feedback, e.g., obtained through reflections. The transmitted message is split into a common and
Externí odkaz:
http://arxiv.org/abs/2408.13635
Autor:
Eijkelboom, Floor, Bartosh, Grigory, Naesseth, Christian Andersson, Welling, Max, van de Meent, Jan-Willem
We present a formulation of flow matching as variational inference, which we refer to as variational flow matching (VFM). Based on this formulation we develop CatFlow, a flow matching method for categorical data. CatFlow is easy to implement, computa
Externí odkaz:
http://arxiv.org/abs/2406.04843
Autor:
Bodnar, Cristian, Bruinsma, Wessel P., Lucic, Ana, Stanley, Megan, Vaughan, Anna, Brandstetter, Johannes, Garvan, Patrick, Riechert, Maik, Weyn, Jonathan A., Dong, Haiyu, Gupta, Jayesh K., Thambiratnam, Kit, Archibald, Alexander T., Wu, Chun-Chieh, Heider, Elizabeth, Welling, Max, Turner, Richard E., Perdikaris, Paris
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however this rema
Externí odkaz:
http://arxiv.org/abs/2405.13063
Autor:
Agarwal, S., Aguilar, J. A., Ali, S., Allison, P., Betts, M., Besson, D., Bishop, A., Botner, O., Bouma, S., Buitink, S., Cataldo, M., Clark, B. A., Coleman, A., Couberly, K., de Kockere, S., de Vries, K. D., Deaconu, C., DuVernois, M. A., Glaser, C., Glüsenkamp, T., Hallgren, A., Hallmann, S., Hanson, J. C., Hendricks, B., Henrichs, J., Heyer, N., Hornhuber, C., Hughes, K., Karg, T., Karle, A., Kelley, J. L., Korntheuer, M., Kowalski, M., Kravchenko, I., Krebs, R., Lahmann, R., Latif, U., Laub, P., Liu, C. -H., Marsee, M. J., Meyers, Z. S., Mikhailova, M., Monstein, C., Mulrey, K., Muzio, M., Nelles, A., Novikov, A., Nozdrina, A., Oberla, E., Oeyen, B., Punsuebsay, N., Pyras, L., Ravn, M., Ryckbosch, D., Schlüter, F., Scholten, O., Seckel, D., Seikh, M. F. H., Stoffels, J., Terveer, K., Toscano, S., Tosi, D., Broeck, D. J. Van Den, van Eijndhoven, N., Vieregg, A. G., Vijai, A., Welling, C., Williams, D. R., Windischhofer, P., Wissel, S., Young, R., Zink, A.
Publikováno v:
Astroparticle Physics 164 (2025) 103024, ISSN 0927-6505
The Radio Neutrino Observatory - Greenland (RNO-G) seeks discovery of ultra-high energy neutrinos from the cosmos through their interactions in ice. The science program extends beyond particle astrophysics to include radioglaciology and, as we show h
Externí odkaz:
http://arxiv.org/abs/2404.14995