Zobrazeno 1 - 10
of 3 366
pro vyhledávání: '"Belkin, P."'
Classical kernel machines have historically faced significant challenges in scaling to large datasets and model sizes--a key ingredient that has driven the success of neural networks. In this paper, we present a new methodology for building kernel ma
Externí odkaz:
http://arxiv.org/abs/2411.16658
A fundamental question is understanding the rate at which random quantum circuits converge to the Haar measure. One quantity which is important in establishing this rate is the spectral gap of a random quantum ensemble. In this work we establish a ne
Externí odkaz:
http://arxiv.org/abs/2411.13739
Recent advances in machine learning have led to increased interest in reproducing kernel Banach spaces (RKBS) as a more general framework that extends beyond reproducing kernel Hilbert spaces (RKHS). These works have resulted in the formulation of re
Externí odkaz:
http://arxiv.org/abs/2411.11242
Transformers exhibit In-Context Learning (ICL), where these models solve new tasks by using examples in the prompt without additional training. In our work, we identify and analyze two key components of ICL: (1) context-scaling, where model performan
Externí odkaz:
http://arxiv.org/abs/2410.12783
We study the Laplacian of the undirected De Bruijn graph over an alphabet $A$ of order $k$. While the eigenvalues of this Laplacian were found in 1998 by Delorme and Tillich [1], an explicit description of its eigenvectors has remained elusive. In th
Externí odkaz:
http://arxiv.org/abs/2410.07622
Autor:
Stich, Simon, Mohajan, Jewel, de Ceglia, Domenico, Carletti, Luca, Jung, Hyunseung, Karl, Nicholas, Brener, Igal, Rodriguez, Alejandro W., Belkin, Mikhail A., Sarma, Raktim
Nonlinear metasurfaces offer a new paradigm to realize optical nonlinear devices with new and unparalleled behavior compared to nonlinear crystals, due to the interplay between photonic resonances and materials properties. The complicated interdepend
Externí odkaz:
http://arxiv.org/abs/2409.18196
Autor:
Mallinar, Neil, Beaglehole, Daniel, Zhu, Libin, Radhakrishnan, Adityanarayanan, Pandit, Parthe, Belkin, Mikhail
Neural networks trained to solve modular arithmetic tasks exhibit grokking, a phenomenon where the test accuracy starts improving long after the model achieves 100% training accuracy in the training process. It is often taken as an example of "emerge
Externí odkaz:
http://arxiv.org/abs/2407.20199
Autor:
Killestein, T. L., Kelsey, L., Wickens, E., Nuttall, L., Lyman, J., Krawczyk, C., Ackley, K., Dyer, M. J., Jiménez-Ibarra, F., Ulaczyk, K., O'Neill, D., Kumar, A., Steeghs, D., Galloway, D. K., Dhillon, V. S., O'Brien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R. P., Pallé, E., Pollacco, D., Awiphan, S., Belkin, S., Chote, P., Clark, P., Coppejans, D., Duffy, C., Eyles-Ferris, R., Godson, B., Gompertz, B., Graur, O., Irawati, P., Jarvis, D., Julakanti, Y., Kennedy, M. R., Kuncarayakti, H., Levan, A., Littlefair, S., Magee, M., Mandhai, S., Sánchez, D. Mata, Mattila, S., McCormac, J., Mullaney, J., Munday, J., Patel, M., Pursiainen, M., Rana, J., Sawangwit, U., Stanway, E., Starling, R., Warwick, B., Wiersema, K.
Time-domain astrophysics continues to grow rapidly, with the inception of new surveys drastically increasing data volumes. Democratised, distributed approaches to training sets for machine learning classifiers are crucial to make the most of this tor
Externí odkaz:
http://arxiv.org/abs/2406.02334
Autor:
Dainotti, M. G., De Simone, B., Malik, R. F. Mohideen, Pasumarti, V., Levine, D., Saha, N., Gendre, B., Kido, D., Watson, A. M., Becerra, R. L., Belkin, S., Desai, S., Pedreira, A. C. C. do E. S., Das, U., Li, L., Oates, S. R., Cenko, S. B., Pozanenko, A., Volnova, A., Hu, Y. -D., Castro-Tirado, A. J., Orange, N. B., Moriya, T. J., Fraija, N., Niino, Y., Rinaldi, E., Butler, N. R., Gonzalez, J. d. J. G., Kutyrev, A. S., Lee, W. H., Prochaska, X., Ramirez-Ruiz, E., Richer, M., Siegel, M. H., Misra, K., Rossi, A., Lopresti, C., Quadri, U., Strabla, L., Ruocco, N., Leonini, S., Conti, M., Rosi, P., Ramirez, L. M. T., Zola, S., Jindal, I., Kumar, R., Chan, L., Fuentes, M., Lambiase, G., Kalinowski, K. K., Jamal, W.
We present the largest optical photometry compilation of Gamma-Ray Bursts (GRBs) with redshifts ($z$). We include 64813 observations of 535 events (including upper limits) from 28 February 1997 up to 18 August 2023. We also present a user-friendly we
Externí odkaz:
http://arxiv.org/abs/2405.02263
Autor:
Cotrufo, Michele, Krakofsky, Jonas, Mann, Sander A., Böhm, Gerhard, Belkin, Mikhail A., Alù, Andrea
Nonlinear intersubband polaritonic metasurfaces support one of the strongest known ultrafast nonlinear responses in the mid-infrared frequency range across all condensed matter systems. Beyond harmonic generation and frequency mixing, these nonlinear
Externí odkaz:
http://arxiv.org/abs/2403.15911