Zobrazeno 1 - 10
of 121 542
pro vyhledávání: '"Subramanian, AN."'
Autor:
Viszlai, Joshua, Chadwick, Jason D., Joshi, Sarang, Ravi, Gokul Subramanian, Li, Yanjing, Chong, Frederic T.
Real-time decoding is a key ingredient in future fault-tolerant quantum systems, yet many decoders are too slow to run in real time. Prior work has shown that parallel window decoding schemes can scalably meet throughput requirements in the presence
Externí odkaz:
http://arxiv.org/abs/2412.05115
Autor:
Gairola, Shashank, Subramanian, Smitha, M., Sreedevi, Menon, Shyam H, Mondal, Chayan, Krishna, Sriram, Das, Mousumi, Subramaniam, Annapurni
Molecular clouds fragment under the action of supersonic turbulence & gravity which results in a scale-free hierarchical distribution of star formation (SF) within galaxies. Recent studies suggest that the hierarchical distribution of SF in nearby ga
Externí odkaz:
http://arxiv.org/abs/2412.00872
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
Most state-of-the-art techniques for Language Models (LMs) today rely on transformer-based architectures and their ubiquitous attention mechanism. However, the exponential growth in computational requirements with longer input sequences confines Tran
Externí odkaz:
http://arxiv.org/abs/2411.16618
Autor:
Khindkar, Vaishnavi, Balasubramanian, Vineeth, Arora, Chetan, Subramanian, Anbumani, Jawahar, C. V.
With the increased importance of autonomous navigation systems has come an increasing need to protect the safety of Vulnerable Road Users (VRUs) such as pedestrians. Predicting pedestrian intent is one such challenging task, where prior work predicts
Externí odkaz:
http://arxiv.org/abs/2411.13302
This paper introduces a novel framework to learn data association for multi-object tracking in a self-supervised manner. Fully-supervised learning methods are known to achieve excellent tracking performances, but acquiring identity-level annotations
Externí odkaz:
http://arxiv.org/abs/2411.11514
In translation, a concept represented by a single word in a source language can have multiple variations in a target language. The task of lexical selection requires using context to identify which variation is most appropriate for a source text. We
Externí odkaz:
http://arxiv.org/abs/2411.05781
We numerically study axion-U(1) inflation, focusing on the regime where the coupling between axions and gauge fields results in significant backreaction from the amplified gauge fields during inflation. These amplified gauge fields not only generate
Externí odkaz:
http://arxiv.org/abs/2411.04854
Autor:
Ferenc, Will, Kastein, Hannah, Lieu, Lauren, Wilson, Ryan, Huang, Yuan Rick, Gilles, Jerome, Bertozzi, Andrea L., Sharma, Balaji R., HomChaudhuri, Baisravan, Ramakrishnan, Subramanian, Kumar, Manish
Publikováno v:
012 American Control Conference, Montreal, Canada, June 2012
This paper considers cooperative control of robots involving two different testbed systems in remote locations with communication on the internet. This provides us the capability to exchange robots status like positions, velocities and directions nee
Externí odkaz:
http://arxiv.org/abs/2411.03614
Autor:
Acharya, Anurag, Sharma, Shivam, Cosbey, Robin, Subramanian, Megha, Howland, Scott, Glenski, Maria
A proliferation of Large Language Models (the GPT series, BLOOM, LLaMA, and more) are driving forward novel development of multipurpose AI for a variety of tasks, particularly natural language processing (NLP) tasks. These models demonstrate strong p
Externí odkaz:
http://arxiv.org/abs/2411.03542