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Autor:
Abbasi, Ali, Imani, Shima, An, Chenyang, Mahalingam, Gayathri, Shrivastava, Harsh, Diesendruck, Maurice, Pirsiavash, Hamed, Sharma, Pramod, Kolouri, Soheil
With the rapid scaling of neural networks, data storage and communication demands have intensified. Dataset distillation has emerged as a promising solution, condensing information from extensive datasets into a compact set of synthetic samples by so
Externí odkaz:
http://arxiv.org/abs/2412.04668
Autor:
Achar, Pramod N., Bourque, Andrea
We give a "lattice-theoretic" description of the global Schubert variety for $\mathrm{GL}_n$ associated to any dominant coweight.
Comment: 29 pages
Comment: 29 pages
Externí odkaz:
http://arxiv.org/abs/2412.01962
Autor:
Iaboni, Craig, Abichandani, Pramod
Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) applications. This paper presents a systematic review of dat
Externí odkaz:
http://arxiv.org/abs/2411.17006
Autor:
Ashraf, Md Arsalan, Pullarkat, Pramod
Optical tweezers has emerged as a powerful tool in manipulating microscopic particles and in measuring weak forces of the order of a pico-Newton. As a result, it has found wide applications ranging from material science to biology. Dual-trap optical
Externí odkaz:
http://arxiv.org/abs/2411.16256
Properties of the Higgs boson ($H$) at current and future particle colliders are crucial to explore new physics beyond the standard model. In particular, experimental and theoretical outlooks at future colliders drive interest in Higgs to gauge boson
Externí odkaz:
http://arxiv.org/abs/2411.07950
Autor:
Achar, Pramod N., Chatterjee, Tamanna
Let $V$ be a finite-dimensional complex vector space. Assume that $V$ is a direct sum of subspaces each of which is equipped with a nondegenerate symmetric or skew-symmetric bilinear form. In this paper, we introduce a stratification of the Grassmann
Externí odkaz:
http://arxiv.org/abs/2411.03158
Autor:
Cheng, Zerui, Contente, Edoardo, Finch, Ben, Golev, Oleg, Hayase, Jonathan, Miller, Andrew, Moshrefi, Niusha, Nasery, Anshul, Nailwal, Sandeep, Oh, Sewoong, Tyagi, Himanshu, Viswanath, Pramod
Artificial Intelligence (AI) has steadily improved across a wide range of tasks. However, the development and deployment of AI are almost entirely controlled by a few powerful organizations that are racing to create Artificial General Intelligence (A
Externí odkaz:
http://arxiv.org/abs/2411.03887
Autor:
An, Chenyang, Imani, Shima, Yao, Feng, Dong, Chengyu, Abbasi, Ali, Shrivastava, Harsh, Buss, Samuel, Shang, Jingbo, Mahalingam, Gayathri, Sharma, Pramod, Diesendruck, Maurice
In the field of large language model (LLM)-based proof generation, despite being trained on extensive corpora such as OpenWebMath and Arxiv, these models still exhibit only modest performance on proving tasks of moderate difficulty. We believe that t
Externí odkaz:
http://arxiv.org/abs/2411.00863
Given the huge size of the generic four-dimensional scalar potentials arising from the type II supergravities based on toroidal orientifolds, it is even hard to analytically solve the extremization conditions, and therefore the previous studies have
Externí odkaz:
http://arxiv.org/abs/2410.22444