Zobrazeno 1 - 10
of 612
pro vyhledávání: '"Soljacic, Marin"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 7, Pp 121-138 (2019)
Stacking long short-term memory (LSTM) cells or gated recurrent units (GRUs) as part of a recurrent neural network (RNN) has become a standard approach to solving a number of tasks ranging from language modeling to text summarization. Although LSTMs
Externí odkaz:
https://doaj.org/article/0eaabe33e0944b61afdca2cf048fc193
Autor:
Min, Seokhwan, Choi, Seou, Pajovic, Simo, Vaidya, Sachin, Rivera, Nicholas, Fan, Shanhui, Soljačić, Marin, Roques-Carmes, Charles
Scintillators have been widely used in X-ray imaging due to their ability to convert high-energy radiation into visible light, making them essential for applications such as medical imaging and high-energy physics. Recent advances in the artificial s
Externí odkaz:
http://arxiv.org/abs/2410.08543
Autor:
Martin-Monier, Louis, Pajovic, Simo, Abebe, Muluneh G., Chen, Joshua, Vaidya, Sachin, Min, Seokhwan, Choi, Seou, Kooi, Steven E., Maes, Bjorn, Hu, Juejun, Soljacic, Marin, Roques-Carmes, Charles
Scintillators are essential for converting X-ray energy into visible light in imaging technologies. Their widespread application in imaging technologies has been enabled by scalable, high-quality, and affordable manufacturing methods. Nanophotonic sc
Externí odkaz:
http://arxiv.org/abs/2410.07141
Autor:
Long, Olivia Y., Pajovic, Simo, Roques-Carmes, Charles, Tsurimaki, Yoichiro, Rivera, Nicholas, Soljačić, Marin, Boriskina, Svetlana V., Fan, Shanhui
Scintillation describes the conversion of high-energy particles into light in transparent media and finds diverse applications such as high-energy particle detection and industrial and medical imaging. This process operates on multiple timescales, wi
Externí odkaz:
http://arxiv.org/abs/2409.17002
Autor:
Pontula, Sahil, Vaidya, Sachin, Roques-Carmes, Charles, Uddin, Shiekh Zia, Soljacic, Marin, Salamin, Yannick
Nonlinear optics has become the workhorse for countless applications in classical and quantum optics, from optical bistability to single photon pair generation. However, the intrinsic weakness of optical nonlinearity has meant that large input powers
Externí odkaz:
http://arxiv.org/abs/2409.14299
Autor:
Horodynski, Michael, Roques-Carmes, Charles, Salamin, Yannick, Choi, Seou, Sloan, Jamison, Luo, Di, Soljačić, Marin
Optical computing often employs tailor-made hardware to implement specific algorithms, trading generality for improved performance in key aspects like speed and power efficiency. An important computing approach that is still missing its corresponding
Externí odkaz:
http://arxiv.org/abs/2406.04000
Autor:
Dugan, Owen, Beneto, Donato Manuel Jimenez, Loh, Charlotte, Chen, Zhuo, Dangovski, Rumen, Soljačić, Marin
Despite significant advancements in text generation and reasoning, Large Language Models (LLMs) still face challenges in accurately performing complex arithmetic operations. Language model systems often enable LLMs to generate code for arithmetic ope
Externí odkaz:
http://arxiv.org/abs/2406.06576
We propose Quantum-informed Tensor Adaptation (QuanTA), a novel, easy-to-implement, fine-tuning method with no inference overhead for large-scale pre-trained language models. By leveraging quantum-inspired methods derived from quantum circuit structu
Externí odkaz:
http://arxiv.org/abs/2406.00132
Multimode squeezed light is enticing for several applications, from squeezed frequency combs for spectroscopy to signal multiplexing in optical computing. To generate squeezing in multiple frequency modes, optical parametric oscillators have been vit
Externí odkaz:
http://arxiv.org/abs/2405.05201
Autor:
Liu, Ziming, Wang, Yixuan, Vaidya, Sachin, Ruehle, Fabian, Halverson, James, Soljačić, Marin, Hou, Thomas Y., Tegmark, Max
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation functions on nodes ("neurons"), KANs have learnable a
Externí odkaz:
http://arxiv.org/abs/2404.19756