Zobrazeno 1 - 10
of 32 785
pro vyhledávání: '"A Aravind"'
Autor:
Thorbecke, Iuliia, Zuluaga-Gomez, Juan, Villatoro-Tello, Esaú, Carofilis, Andres, Kumar, Shashi, Motlicek, Petr, Pandia, Karthik, Ganapathiraju, Aravind
Despite the recent success of end-to-end models for automatic speech recognition, recognizing special rare and out-of-vocabulary words, as well as fast domain adaptation with text, are still challenging. It often happens that biasing to the special e
Externí odkaz:
http://arxiv.org/abs/2409.13514
Autor:
Thorbecke, Iuliia, Zuluaga-Gomez, Juan, Villatoro-Tello, Esaú, Kumar, Shashi, Rangappa, Pradeep, Burdisso, Sergio, Motlicek, Petr, Pandia, Karthik, Ganapathiraju, Aravind
The training of automatic speech recognition (ASR) with little to no supervised data remains an open question. In this work, we demonstrate that streaming Transformer-Transducer (TT) models can be trained from scratch in consumer and accessible GPUs
Externí odkaz:
http://arxiv.org/abs/2409.13499
Autor:
Saunders, Adam M., Kim, Michael E., Gao, Chenyu, Remedios, Lucas W., Krishnan, Aravind R., Schilling, Kurt G., O'Grady, Kristin P., Smith, Seth A., Landman, Bennett A.
While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. Changes in T1 in the brain reflect chemical and physical changes in bra
Externí odkaz:
http://arxiv.org/abs/2409.13145
Autor:
Sivaramakrishnan, Aravind, Tangirala, Sumanth, Ramesh, Dhruv Metha, Granados, Edgar, Bekris, Kostas E.
This paper aims to increase the safety and reliability of executing trajectories planned for robots with non-trivial dynamics given a light-weight, approximate dynamics model. Scenarios include mobile robots navigating through workspaces with imperfe
Externí odkaz:
http://arxiv.org/abs/2409.11522
Autor:
Behera, Nihar Ranjan, Kanakati, Arun Kumar, Thakkar, Pratikkumar, Payra, Siddhartha Sankar, Dutta, Saurav, Barik, Saroj, Lenka, Yash, Aravind, G
Due to the absorption of high energetic ultraviolet (UV) photons by the surface layers of the cold molecular clouds, only low energetic photons are able to penetrate into the inner regions of these clouds. This leads to lower photo-ionization yield o
Externí odkaz:
http://arxiv.org/abs/2409.08590
Autor:
Taank, Pravrati, Ali, Asif, Raji, Aravind, Poonia, Ajay K., Beard, Matthew C., Singh, Ravi Shankar, Adarsh, K. V.
Publikováno v:
P. Taank et. al. Phys. Rev. B 110, 075205 (2024)
Transition metal dichalcogenides (TMDs) exhibit remarkable optical properties due to the diverse number of strongly bound excitons, which can be fine-tuned by alloying. Despite a flurry of research activity in characterizing these excitons, a compreh
Externí odkaz:
http://arxiv.org/abs/2408.16306
This article introduces a novel distributionally robust model predictive control (DRMPC) algorithm for a specific class of controlled dynamical systems where the disturbance multiplies the state and control variables. These classes of systems arise i
Externí odkaz:
http://arxiv.org/abs/2408.15193
This paper presents a first-order distributed algorithm for solving a convex semi-infinite program (SIP) over a time-varying network. In this setting, the objective function associated with the optimization problem is a summation of a set of function
Externí odkaz:
http://arxiv.org/abs/2408.11937
Autor:
Kumar, Anurakt, Kumar, Divyanshu, Loya, Jatan, Birur, Nitin Aravind, Baswa, Tanay, Agarwal, Sahil, Harshangi, Prashanth
We introduce Synthetic Alignment data Generation for Safety Evaluation and Red Teaming (SAGE-RT or SAGE) a novel pipeline for generating synthetic alignment and red-teaming data. Existing methods fall short in creating nuanced and diverse datasets, p
Externí odkaz:
http://arxiv.org/abs/2408.11851
Autor:
Bagani, Kousik, Vervelaki, Andriani, Jetter, Daniel, Devarakonda, Aravind, Tschudin, Märta A., Gross, Boris, Chica, Daniel G., Broadway, David A., Dean, Cory R., Roy, Xavier, Maletinsky, Patrick, Poggio, Martino
Two-dimensional materials are extraordinarily sensitive to external stimuli, making them ideal for studying fundamental properties and for engineering devices with new functionalities. One such stimulus, strain, affects the magnetic properties of the
Externí odkaz:
http://arxiv.org/abs/2408.07657