Zobrazeno 1 - 10
of 37 379
pro vyhledávání: '"Sheth A."'
In a Universe with nearly-Gaussian initial curvature perturbations, the abundance of primordial black holes can be derived from the curvature power spectrum. When the latter is enhanced within a narrow range around a characteristic scale, the resulti
Externí odkaz:
http://arxiv.org/abs/2412.07709
\begin{abstract} Greedy permutations, also known as Gonzalez Orderings or Farthest Point Traversals are a standard way to approximate $k$-center clustering and have many applications in sampling and approximating metric spaces. A greedy tree is an ad
Externí odkaz:
http://arxiv.org/abs/2412.02554
Autor:
Wijesiriwardene, Thilini, Wickramarachchi, Ruwan, Vennam, Sreeram, Jain, Vinija, Chadha, Aman, Das, Amitava, Kumaraguru, Ponnurangam, Sheth, Amit
Making analogies is fundamental to cognition. Proportional analogies, which consist of four terms, are often used to assess linguistic and cognitive abilities. For instance, completing analogies like "Oxygen is to Gas as is to " requir
Externí odkaz:
http://arxiv.org/abs/2412.00869
Various real-world challenges require planning algorithms that can adapt to a broad range of domains. Traditionally, the creation of planning domains has relied heavily on human implementation, which limits the scale and diversity of available domain
Externí odkaz:
http://arxiv.org/abs/2411.19886
Autor:
Imanpour, Nasrin, Bajpai, Shashwat, Ghosh, Subhankar, Sankepally, Sainath Reddy, Borah, Abhilekh, Abdullah, Hasnat Md, Kosaraju, Nishoak, Dixit, Shreyas, Aziz, Ashhar, Biswas, Shwetangshu, Jain, Vinija, Chadha, Aman, Sheth, Amit, Das, Amitava
The proliferation of AI techniques for image generation, coupled with their increasing accessibility, has raised significant concerns about the potential misuse of these images to spread misinformation. Recent AI-generated image detection (AGID) meth
Externí odkaz:
http://arxiv.org/abs/2411.16754
Autor:
Rawte, Vipula, Jain, Sarthak, Sinha, Aarush, Kaushik, Garv, Bansal, Aman, Vishwanath, Prathiksha Rumale, Jain, Samyak Rajesh, Reganti, Aishwarya Naresh, Jain, Vinija, Chadha, Aman, Sheth, Amit P., Das, Amitava
Latest developments in Large Multimodal Models (LMMs) have broadened their capabilities to include video understanding. Specifically, Text-to-video (T2V) models have made significant progress in quality, comprehension, and duration, excelling at crea
Externí odkaz:
http://arxiv.org/abs/2411.10867
Monitoring public sentiment via social media is potentially helpful during health crises such as the COVID-19 pandemic. However, traditional frequency-based, data-driven neural network-based approaches can miss newly relevant content due to the evolv
Externí odkaz:
http://arxiv.org/abs/2411.07163
In the era of Generative AI, Neurosymbolic AI is emerging as a powerful approach for tasks spanning from perception to cognition. The use of Neurosymbolic AI has been shown to achieve enhanced capabilities, including improved grounding, alignment, ex
Externí odkaz:
http://arxiv.org/abs/2411.03225
Autor:
Paranjape, Aseem, Sheth, Ravi K.
We consider approximating the linearly evolved 2-point correlation function (2pcf) of dark matter $\xi_{\rm lin}(r;\boldsymbol{\theta})$ in a cosmological model with parameters $\boldsymbol{\theta}$ as the linear combination $\xi_{\rm lin}(r;\boldsym
Externí odkaz:
http://arxiv.org/abs/2410.21374
Autor:
Glatt-Holtz, Nathan E., Holbrook, Andrew J., Krometis, Justin A., Mondaini, Cecilia F., Sheth, Ami
In the first edition of this Handbook, two remarkable chapters consider seemingly distinct yet deeply connected subjects ...
Comment: To appear in the Handbook of MCMC, 2nd Edition
Comment: To appear in the Handbook of MCMC, 2nd Edition
Externí odkaz:
http://arxiv.org/abs/2410.17398