Zobrazeno 1 - 10
of 17 272
pro vyhledávání: '"Sundararajan A"'
Autor:
Block, Jacob L., Srinivasan, Sundararajan, Collins, Liam, Mokhtari, Aryan, Shakkottai, Sanjay
The power of foundation models (FMs) lies in their capacity to learn highly expressive representations that can be adapted to a broad spectrum of tasks. However, these pretrained models require multiple stages of fine-tuning to become effective for d
Externí odkaz:
http://arxiv.org/abs/2410.22264
Autor:
He, Han, Liu, Qianchu, Xu, Lei, Shivade, Chaitanya, Zhang, Yi, Srinivasan, Sundararajan, Kirchhoff, Katrin
Existing automatic prompt engineering methods are typically designed for discriminative tasks, where new task prompts are iteratively refined with limited feedback from a single metric reflecting a single aspect. However, these approaches are subopti
Externí odkaz:
http://arxiv.org/abs/2410.02748
Autor:
Maya, Neethu, Poolla, Bala Kameshwar, Srinivasan, Seshadhri, Sundararajan, Narasimman, Sundaram, Suresh
This paper presents a Dynamic Internal Predictive Power Scheduling (DIPPS) approach for optimizing power management in microgrids, particularly focusingon external power exchanges among diverse prosumers. DIPPS utilizes a dynamic objective function w
Externí odkaz:
http://arxiv.org/abs/2409.16643
Publikováno v:
Phys. Chem. Chem. Phys., (2024), 26, 19332-19348
The aromatic infrared Bands (AIBs) dominate the mid-infrared spectra of many galactic and extragalactic sources. These AIBs are generally attributed to fluorescent emission from aromatic molecules. Unified efforts from experimentalists and theoretici
Externí odkaz:
http://arxiv.org/abs/2408.13072
Autor:
Niknazar, Mohammad, Haley, Paul V, Ramanan, Latha, Truong, Sang T., Shrinivasan, Yedendra, Bhowmick, Ayan Kumar, Dey, Prasenjit, Jagmohan, Ashish, Maheshwari, Hema, Ponoth, Shom, Smith, Robert, Vempaty, Aditya, Haber, Nick, Koyejo, Sanmi, Sundararajan, Sharad
Generative AI holds the promise of enabling a range of sought-after capabilities and revolutionizing workflows in various consumer and enterprise verticals. However, putting a model in production involves much more than just generating an output. It
Externí odkaz:
http://arxiv.org/abs/2408.01452
End-to-end neural diarization (EEND) models offer significant improvements over traditional embedding-based Speaker Diarization (SD) approaches but falls short on generalizing to long-form audio with large number of speakers. EEND-vector-clustering m
Externí odkaz:
http://arxiv.org/abs/2406.18679
Speaker Diarization (SD) systems are typically audio-based and operate independently of the ASR system in traditional speech transcription pipelines and can have speaker errors due to SD and/or ASR reconciliation, especially around speaker turns and
Externí odkaz:
http://arxiv.org/abs/2406.17266
Autor:
Ahmad Umar, Sundararajan Ashok Kumar, Daniel Rani Rosaline, Hassan Algadi, Ahmed A. Ibrahim, Faheem Ahmed, Edson Luiz Foletto, Savariroyan Stephen Rajkumar Inbanathan
Publikováno v:
Micromachines, Vol 13, Iss 9, p 1528 (2022)
Herein, we explore the supercapacitor and photocatalytic applications of poly(1-naphthylamine) (PNA) nanoparticles. The PNA nanoparticles were synthesized by using polymerization of 1-naphthylamine and characterized with several techniques in order t
Externí odkaz:
https://doaj.org/article/abb6d44b4341450f9dc3ebe7f69761ef
Autor:
Li, Rubing, Sundararajan, Arun
The emergence of the branded recommerce channel - digitally enabled and branded marketplaces that facilitate purchasing pre-owned items directly from a manufacturer's e-commerce site - leads to new variants of classic IS and economic questions relati
Externí odkaz:
http://arxiv.org/abs/2405.09023
Autor:
Peri, Raghuveer, Jayanthi, Sai Muralidhar, Ronanki, Srikanth, Bhatia, Anshu, Mundnich, Karel, Dingliwal, Saket, Das, Nilaksh, Hou, Zejiang, Huybrechts, Goeric, Vishnubhotla, Srikanth, Garcia-Romero, Daniel, Srinivasan, Sundararajan, Han, Kyu J, Kirchhoff, Katrin
Integrated Speech and Large Language Models (SLMs) that can follow speech instructions and generate relevant text responses have gained popularity lately. However, the safety and robustness of these models remains largely unclear. In this work, we in
Externí odkaz:
http://arxiv.org/abs/2405.08317