Zobrazeno 1 - 10
of 86 568
pro vyhledávání: '"Iyer AN"'
Autor:
Bezick, Michael, Wilson, Blake A., Iyer, Vaishnavi, Chen, Yuheng, Shalaev, Vladimir M., Kais, Sabre, Kildishev, Alexander V., Boltasseva, Alexandra, Lackey, Brad
PearSAN is a machine learning-assisted optimization algorithm applicable to inverse design problems with large design spaces, where traditional optimizers struggle. The algorithm leverages the latent space of a generative model for rapid sampling and
Externí odkaz:
http://arxiv.org/abs/2412.19284
College students routinely use online course catalogs to explore a variety of academic offerings. Course catalogs may therefore be an effective place to encourage reflection on academic choices and interests. To test this, we embedded a psychological
Externí odkaz:
http://arxiv.org/abs/2412.19035
Autor:
Iyer, Sarvesh Ravichandran
We prove that the martingale problem is well posed for pure-jump L\'evy-type operators of the form $$ (\mathcal Lf)(x) = \int_{\mathbb R^d \setminus \{0\}} \left(f(x+h)-f(x) - (\nabla f(x) \cdot h)1_{\|h\| < 1}\right)K(x,h) dh, $$ where $K(x,\cdot)$
Externí odkaz:
http://arxiv.org/abs/2412.18677
Image registration is a core task in computational anatomy that establishes correspondences between images. Invertible deformable registration, which computes a deformation field and handles complex, non-linear transformation, is essential for tracki
Externí odkaz:
http://arxiv.org/abs/2412.16129
Publikováno v:
Phys. Rev. A 109, 032624 (2024)
Quantum homogenization is a reservoir-based quantum state approximation protocol, which has been successfully implemented in state transformation on quantum hardware. In this work we move beyond that and propose the homogenization as a novel platform
Externí odkaz:
http://arxiv.org/abs/2412.14544
Beyond conventional paradigms of translating speech and text, recently, there has been interest in automated transcreation of images to facilitate localization of visual content across different cultures. Attempts to define this as a formal Machine L
Externí odkaz:
http://arxiv.org/abs/2412.13717
Autor:
Desai, Saaketh, Addamane, Sadhvikas, Tsao, Jeffrey Y., Brener, Igal, Swiler, Laura P., Dingreville, Remi, Iyer, Prasad P.
Advances in robotic control and sensing have propelled the rise of automated scientific laboratories capable of high-throughput experiments. However, automated scientific laboratories are currently limited by human intuition in their ability to effic
Externí odkaz:
http://arxiv.org/abs/2412.12347
Autor:
Goldberg, Beth, Acosta-Navas, Diana, Bakker, Michiel, Beacock, Ian, Botvinick, Matt, Buch, Prateek, DiResta, Renée, Donthi, Nandika, Fast, Nathanael, Iyer, Ravi, Jalan, Zaria, Konya, Andrew, Danciu, Grace Kwak, Landemore, Hélène, Marwick, Alice, Miller, Carl, Ovadya, Aviv, Saltz, Emily, Schirch, Lisa, Shalom, Dalit, Siddarth, Divya, Sieker, Felix, Small, Christopher, Stray, Jonathan, Tang, Audrey, Tessler, Michael Henry, Zhang, Amy
Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large language models (LLMs). LLMs offer opportunities for a paradigm shift tow
Externí odkaz:
http://arxiv.org/abs/2412.09988
Quantum reservoirs have great potential as they utilize the complex real-time dissipative dynamics of quantum systems for information processing and target time-series generation without precise control or fine-tuning of the Hamiltonian parameters. N
Externí odkaz:
http://arxiv.org/abs/2412.09979
Autor:
Pagnoni, Artidoro, Pasunuru, Ram, Rodriguez, Pedro, Nguyen, John, Muller, Benjamin, Li, Margaret, Zhou, Chunting, Yu, Lili, Weston, Jason, Zettlemoyer, Luke, Ghosh, Gargi, Lewis, Mike, Holtzman, Ari, Iyer, Srinivasan
We introduce the Byte Latent Transformer (BLT), a new byte-level LLM architecture that, for the first time, matches tokenization-based LLM performance at scale with significant improvements in inference efficiency and robustness. BLT encodes bytes in
Externí odkaz:
http://arxiv.org/abs/2412.09871