Zobrazeno 1 - 10
of 11 345
pro vyhledávání: '"A P, FISHMAN"'
Motivated by the experimental identification of magnetic compounds consisting of zigzag chains, we analyze the band structure topology of magnons in ferromagnets on a zigzag lattice. We account for the general lattice geometry by including spatially
Externí odkaz:
http://arxiv.org/abs/2411.18515
Fairness metrics are a core tool in the fair machine learning literature (FairML), used to determine that ML models are, in some sense, "fair". Real-world data, however, are typically plagued by various measurement biases and other violated assumptio
Externí odkaz:
http://arxiv.org/abs/2410.09600
Autor:
Shkolnik, Moran, Fishman, Maxim, Chmiel, Brian, Ben-Yaacov, Hilla, Banner, Ron, Levy, Kfir Yehuda
Quantization has established itself as the primary approach for decreasing the computational and storage expenses associated with Large Language Models (LLMs) inference. The majority of current research emphasizes quantizing weights and activations t
Externí odkaz:
http://arxiv.org/abs/2410.03185
Structural understanding of complex visual objects is an important unsolved component of artificial intelligence. To study this, we develop a new technique for the recently proposed Break-and-Make problem in LTRON where an agent must learn to build a
Externí odkaz:
http://arxiv.org/abs/2410.01111
Segmentation is a crucial step in microscopy image analysis. Numerous approaches have been developed over the past years, ranging from classical segmentation algorithms to advanced deep learning models. While U-Net remains one of the most popular and
Externí odkaz:
http://arxiv.org/abs/2409.16940
Autor:
Refael, Yehonathan, Hakim, Adam, Greenberg, Lev, Aviv, Tal, Lokam, Satya, Fishman, Ben, Seidman, Shachar
Large language models (LLMs) have recently seen widespread adoption, in both academia and industry. As these models grow, they become valuable intellectual property (IP), reflecting enormous investments by their owners. Moreover, the high cost of clo
Externí odkaz:
http://arxiv.org/abs/2407.10886
Autor:
Wang, Boyang, Sridhar, Nikhil, Feng, Chao, Van der Merwe, Mark, Fishman, Adam, Fazeli, Nima, Park, Jeong Joon
We propose a robot learning method for communicating, planning, and executing a wide range of tasks, dubbed This&That. We achieve robot planning for general tasks by leveraging the power of video generative models trained on internet-scale data conta
Externí odkaz:
http://arxiv.org/abs/2407.05530
Publikováno v:
Quantum 8, 1580 (2024)
Tensor network contractions are widely used in statistical physics, quantum computing, and computer science. We introduce a method to efficiently approximate tensor network contractions using low-rank approximations, where each intermediate tensor ge
Externí odkaz:
http://arxiv.org/abs/2406.09769
Autor:
Rad, Shervin Salehi, Muhlbaier, Micheal, Fishman, Oleg, Chevinly, Javad, Nadi, Elias, Zhang, Hua, Lu, Fei
The design and development of power electronics converters pose a multitude of challenges. The evaluation of power electronics converters, particularly when operating at high power levels, presents a significant task, offering designers a deeper unde
Externí odkaz:
http://arxiv.org/abs/2405.13243
Publikováno v:
In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2155. Springer, Cham
Deep learning is dramatically transforming the field of medical imaging and radiology, enabling the identification of pathologies in medical images, including computed tomography (CT) and X-ray scans. However, the performance of deep learning models,
Externí odkaz:
http://arxiv.org/abs/2404.12832