Zobrazeno 1 - 10
of 11 610
pro vyhledávání: '"Vaishnavi, A."'
Autor:
Runkel, Christina, Gandikota, Kanchana Vaishnavi, Geiping, Jonas, Schönlieb, Carola-Bibiane, Moeller, Michael
Being able to reconstruct training data from the parameters of a neural network is a major privacy concern. Previous works have shown that reconstructing training data, under certain circumstances, is possible. In this work, we analyse such reconstru
Externí odkaz:
http://arxiv.org/abs/2412.08544
We introduce CPP-UT-Bench, a benchmark dataset to measure C++ unit test generation capability of a large language model (LLM). CPP-UT-Bench aims to reflect a broad and diverse set of C++ codebases found in the real world. The dataset includes 2,653 {
Externí odkaz:
http://arxiv.org/abs/2412.02735
The rapid development of Large Multimodal Models (LMMs) has significantly advanced multimodal understanding by harnessing the language abilities of Large Language Models (LLMs) and integrating modality-specific encoders. However, LMMs are plagued by
Externí odkaz:
http://arxiv.org/abs/2411.19187
In this work, we study the existence, non-existence, and uniqueness results for nonlocal elliptic equations involving logarithmic Laplacian, and subcritical, critical, and supercritical logarithmic nonlinearities. The Poho\u zaev's identity and D\'ia
Externí odkaz:
http://arxiv.org/abs/2411.15985
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
The vulnerability of machine learning models in adversarial scenarios has garnered significant interest in the academic community over the past decade, resulting in a myriad of attacks and defenses. However, while the community appears to be overtly
Externí odkaz:
http://arxiv.org/abs/2410.12076
This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of multiple LLMs which demonstrates the diversities capable with a single LL
Externí odkaz:
http://arxiv.org/abs/2410.12839
Autor:
Hoffmann, Marco, Krizakova, Viola, Kateel, Vaishnavi, Cai, Kaiming, Couet, Sebastien, Gambardella, Pietro
Publikováno v:
Phys. Rev. Applied 22, 034052, 2024
The writing energy for reversing the magnetization of the free layer in a magnetic tunnel junction (MTJ) is a key figure of merit for comparing the performances of magnetic random access memories with competing technologies. Magnetization switching o
Externí odkaz:
http://arxiv.org/abs/2409.16454
The use of cryptocurrencies has led to an increase in illicit activities such as money laundering, with traditional rule-based approaches becoming less effective in detecting and preventing such activities. In this paper, we propose a novel approach
Externí odkaz:
http://arxiv.org/abs/2410.07150
Autor:
Kasuluru, Vaishnavi, Blanco, Luis, Vazquez, Miguel Angel, Vaca-Rubio, Cristian J., Zeydan, Engin
This paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal-to-noise-plus-interference ratio (SINR) constraints. Considering that
Externí odkaz:
http://arxiv.org/abs/2409.04135