Zobrazeno 1 - 10
of 9 693
pro vyhledávání: '"Seshadri P"'
Autor:
Seshadri, Amrit Diggavi
With the size and cost of large transformer-based language models growing, recently, there has been interest in shortcut casting of early transformer hidden-representations to final-representations for cheaper model inference. In particular, shortcut
Externí odkaz:
http://arxiv.org/abs/2409.14091
Macroscopic fundamental diagrams (MFDs) and related network traffic dynamics models have received both theoretical support and empirical validation with the emergence of new data collection technologies. However, the existence of well-defined MFD cur
Externí odkaz:
http://arxiv.org/abs/2409.12689
Modern music streaming services are heavily based on recommendation engines to serve content to users. Sequential recommendation -- continuously providing new items within a single session in a contextually coherent manner -- has been an emerging top
Externí odkaz:
http://arxiv.org/abs/2409.07367
We explore the use of FCNNs (Fully Connected Neural Networks) for designing end-to-end communication systems without taking any inspiration from existing classical communications models or error control coding. This work relies solely on the tools of
Externí odkaz:
http://arxiv.org/abs/2409.01129
Autor:
Seshadri, Ranjani
The phenomenon of Parametric Resonance (PR) is very well studied in classical systems with one of the textbook examples being the stabilization of a Kapitza's pendulum in the inverted configuration when the suspension point is oscillated vertically.
Externí odkaz:
http://arxiv.org/abs/2408.06228
Autor:
Chapman, Stephen D., Seshadri, Suparna, Lukens, Joseph M., Peters, Nicholas A., McKinney, Jason D., Weiner, Andrew M., Lu, Hsuan-Hao
We demonstrate nonlocal modulation of entangled photons with truly distributed RF clocks. Leveraging a custom radio-over-fiber (RFoF) system characterized via classical spectral interference, we validate its effectiveness for quantum networking by mu
Externí odkaz:
http://arxiv.org/abs/2407.17330
Autor:
Verma, Apurv, Krishna, Satyapriya, Gehrmann, Sebastian, Seshadri, Madhavan, Pradhan, Anu, Ault, Tom, Barrett, Leslie, Rabinowitz, David, Doucette, John, Phan, NhatHai
Creating secure and resilient applications with large language models (LLM) requires anticipating, adjusting to, and countering unforeseen threats. Red-teaming has emerged as a critical technique for identifying vulnerabilities in real-world LLM impl
Externí odkaz:
http://arxiv.org/abs/2407.14937
Autor:
Mukhopadhyay, Swarnav, Seshadri, Parthasarathy, Haque, Mobinul, Xie, Shuwen, Bai, Ruixin, Sanyal, Surjava, Wang, Guangying, Gupta, Chirag, Pasayat, Shubhra S.
Thin Si-doped Al-rich (Al>0.85) regrown Al(Ga)N layers were deposited on AlN on Sapphire template using metal-organic chemical vapor deposition (MOCVD) techniques. The optimization of the deposition conditions such as temperature, V/III ratio, deposi
Externí odkaz:
http://arxiv.org/abs/2407.10342
Autor:
Zancato, Luca, Seshadri, Arjun, Dukler, Yonatan, Golatkar, Aditya, Shen, Yantao, Bowman, Benjamin, Trager, Matthew, Achille, Alessandro, Soatto, Stefano
We describe a family of architectures to support transductive inference by allowing memory to grow to a finite but a-priori unknown bound while making efficient use of finite resources for inference. Current architectures use such resources to repres
Externí odkaz:
http://arxiv.org/abs/2407.06324
Autor:
Fraser, Tristan S., Paillas, Enrique, Percival, Will J., Nadathur, Seshadri, Radinović, Slađana, Winther, Hans A.
We introduce an emulator-based method to model the cross-correlation between cosmological voids and galaxies. This allows us to model the effect of cosmology on void finding and on the shape of the void-galaxy cross-correlation function, improving on
Externí odkaz:
http://arxiv.org/abs/2407.03221