Zobrazeno 1 - 10
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pro vyhledávání: '"P Prashanth"'
Vision-based pose estimation of articulated robots with unknown joint angles has applications in collaborative robotics and human-robot interaction tasks. Current frameworks use neural network encoders to extract image features and downstream layers
Externí odkaz:
http://arxiv.org/abs/2411.17662
Autor:
Ravikumar, Prashanth Thattai
Quantifying and aligning music AI model representations with human behavior is an important challenge in the field of MIR. This paper presents a platform for exploring the Direct alignment between AI music model Representations and Human Musical judg
Externí odkaz:
http://arxiv.org/abs/2411.14907
Autor:
da Silva, Samuel Filgueira, Ozkan, Mehmet Fatih, Idrissi, Faissal El, Ramesh, Prashanth, Canova, Marcello
Accurate modeling of lithium ion (li-ion) batteries is essential for enhancing the safety, and efficiency of electric vehicles and renewable energy systems. This paper presents a data-inspired approach for improving the fidelity of reduced-order li-i
Externí odkaz:
http://arxiv.org/abs/2411.12935
Autor:
Amireddy, Prashanth, Behera, Amik Raj, Paraashar, Manaswi, Srinivasan, Srikanth, Sudan, Madhu
In this work, we show that the class of multivariate degree-$d$ polynomials mapping $\{0,1\}^{n}$ to any Abelian group $G$ is locally correctable with $\widetilde{O}_{d}((\log n)^{d})$ queries for up to a fraction of errors approaching half the minim
Externí odkaz:
http://arxiv.org/abs/2411.07374
Autor:
Lin, Guan-Ting, Shivakumar, Prashanth Gurunath, Gourav, Aditya, Gu, Yile, Gandhe, Ankur, Lee, Hung-yi, Bulyko, Ivan
While textless Spoken Language Models (SLMs) have shown potential in end-to-end speech-to-speech modeling, they still lag behind text-based Large Language Models (LLMs) in terms of semantic coherence and relevance. This work introduces the Align-SLM
Externí odkaz:
http://arxiv.org/abs/2411.01834
Phase change materials (PCMs) that exhibit volatile resistive switching are promising for emulating neuronal oscillators. Charge transfer insulators, such as ReNiO3 (where Re represents rare earth metals like Pr, Nd, Sm, Eu...), form a family of PCMs
Externí odkaz:
http://arxiv.org/abs/2410.22868
Extracting dynamic models from data is of enormous importance in understanding the properties of unknown systems. In this work, we employ Lipschitz neural networks, a class of neural networks with a prescribed upper bound on their Lipschitz constant,
Externí odkaz:
http://arxiv.org/abs/2410.21234
Autor:
Wei, Shiqing, Khorrambakht, Rooholla, Krishnamurthy, Prashanth, Gonçalves, Vinicius Mariano, Khorrami, Farshad
Ensuring the safety of dynamical systems is crucial, where collision avoidance is a primary concern. Recently, control barrier functions (CBFs) have emerged as an effective method to integrate safety constraints into control synthesis through optimiz
Externí odkaz:
http://arxiv.org/abs/2410.19159
Autor:
Velayudhan, Prashanth S, Xu, Xiaoqiao, Kallurkar, Prajkta, Balbon, Ana Patricia, Secara, Maria T, Taback, Adam, Sabac, Denise, Chan, Nicholas, Ma, Shihao, Wang, Bo, Felsky, Daniel, Ameis, Stephanie H, Cox, Brian, Hawco, Colin, Erdman, Lauren, Wheeler, Anne L
metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF i
Externí odkaz:
http://arxiv.org/abs/2410.17976
Large Language Models (LLMs) are being adopted across a wide range of tasks, including decision-making processes in industries where bias in AI systems is a significant concern. Recent research indicates that LLMs can harbor implicit biases even when
Externí odkaz:
http://arxiv.org/abs/2410.12864