Zobrazeno 1 - 10
of 14 113
pro vyhledávání: '"Pandit, P."'
Autor:
Bagchi, Arjun, Chakraborty, Pronoy, Chakrabortty, Shankhadeep, Fredenhagen, Stefan, Grumiller, Daniel, Pandit, Priyadarshini
We consider Carrollian conformal field theories in two dimensions and construct the boundary Carrollian conformal algebra (BCCA), opening up innumerable possibilities for further studies, given the growing relevance of Carrollian symmetries. We prove
Externí odkaz:
http://arxiv.org/abs/2409.01094
Voice cloning is a prominent feature in personalized speech interfaces. A neural vocal cloning system can mimic someone's voice using just a few audio samples. Both speaker encoding and speaker adaptation are topics of research in the field of voice
Externí odkaz:
http://arxiv.org/abs/2408.10128
Catastrophic interference, the loss of previously learned information when learning new information, remains a major challenge in machine learning. Since living organisms do not seem to suffer from this problem, researchers have taken inspiration fro
Externí odkaz:
http://arxiv.org/abs/2409.00021
The implementation of Artificial Intelligence (AI) in the healthcare industry has garnered considerable attention, attributable to its prospective enhancement of clinical outcomes, expansion of access to superior healthcare, cost reduction, and eleva
Externí odkaz:
http://arxiv.org/abs/2408.11861
Recent results suggest that highly active, chaotic, non-equilibrium states of living fluids might share much in common with high Reynolds number, inertial turbulence. We now show, by using a hydrodynamical model, the onset of intermittency and the co
Externí odkaz:
http://arxiv.org/abs/2408.06950
Given a set of co-located mobile robots in an unknown anonymous graph, the robots must relocate themselves in distinct graph nodes to solve the dispersion problem. In this paper, we consider the dispersion problem for silent robots \cite{gorain2024co
Externí odkaz:
http://arxiv.org/abs/2408.05491
Kernel ridge regression (KRR) is a popular class of machine learning models that has become an important tool for understanding deep learning. Much of the focus has been on studying the proportional asymptotic regime, $n \asymp d$, where $n$ is the n
Externí odkaz:
http://arxiv.org/abs/2408.01062
Autor:
Mallinar, Neil, Beaglehole, Daniel, Zhu, Libin, Radhakrishnan, Adityanarayanan, Pandit, Parthe, Belkin, Mikhail
Neural networks trained to solve modular arithmetic tasks exhibit grokking, a phenomenon where the test accuracy starts improving long after the model achieves 100% training accuracy in the training process. It is often taken as an example of "emerge
Externí odkaz:
http://arxiv.org/abs/2407.20199
We demonstrate the existence of interface-induced turbulence, an emergent nonequilibrium statistically steady state (NESS) with spatiotemporal chaos, which is induced by interfacial fluctuations in low-Reynolds-number binary-fluid mixtures. We uncove
Externí odkaz:
http://arxiv.org/abs/2407.13393
Autor:
Gosal, Gurpreet, Xu, Yishi, Ramakrishnan, Gokul, Joshi, Rituraj, Sheinin, Avraham, Zhiming, Chen, Mishra, Biswajit, Vassilieva, Natalia, Hestness, Joel, Sengupta, Neha, Sahu, Sunil Kumar, Jia, Bokang, Pandit, Onkar, Katipomu, Satheesh, Kamboj, Samta, Ghosh, Samujjwal, Pal, Rahul, Mullah, Parvez, Doraiswamy, Soundar, Chami, Mohamed El Karim, Nakov, Preslav
We present an efficient method for adapting a monolingual Large Language Model (LLM) to another language, addressing challenges of catastrophic forgetting and tokenizer limitations. We focus this study on adapting Llama 2 to Arabic. Our two-stage app
Externí odkaz:
http://arxiv.org/abs/2407.12869