Zobrazeno 1 - 10
of 12 883
pro vyhledávání: '"Sahay AS"'
Autor:
Manuvinakurike, Ramesh, Watkins, Elizabeth, Savur, Celal, Rhodes, Anthony, Biswas, Sovan, Mejia, Gesem Gudino, Beckwith, Richard, Sahay, Saurav, Raffa, Giuseppe, Nachman, Lama
In this work we explore utilizing LLMs for data augmentation for manufacturing task guidance system. The dataset consists of representative samples of interactions with technicians working in an advanced manufacturing setting. The purpose of this wor
Externí odkaz:
http://arxiv.org/abs/2412.02638
Nowadays, the enhanced capabilities of in-expensive imaging devices have led to a tremendous increase in the acquisition and sharing of multimedia content over the Internet. Despite advances in imaging sensor technology, annoying conditions like \tex
Externí odkaz:
http://arxiv.org/abs/2409.13242
Autor:
Khatua, Soumen, Sahay, Anurag
This work examines the full scope of long-standing conjectures identifying the invariant thermodynamic curvature $R$ as the correlation volume $\xi^d$ and also as a measure of underlying statistical interactions. To this end, we set up a two-paramete
Externí odkaz:
http://arxiv.org/abs/2409.01643
Autor:
Kumar, Shachi H, Sahay, Saurav, Mazumder, Sahisnu, Okur, Eda, Manuvinakurike, Ramesh, Beckage, Nicole, Su, Hsuan, Lee, Hung-yi, Nachman, Lama
Large Language Models (LLMs) have excelled at language understanding and generating human-level text. However, even with supervised training and human alignment, these LLMs are susceptible to adversarial attacks where malicious users can prompt the m
Externí odkaz:
http://arxiv.org/abs/2408.03907
Recent experimental advances have made it possible to implement logical multi-qubit transversal gates on surface codes in a multitude of platforms. A transversal controlled-NOT (tCNOT) gate on two surface codes introduces correlated errors across the
Externí odkaz:
http://arxiv.org/abs/2408.01393
Recently, a lot of effort has been devoted towards designing erasure qubits in which dominant physical noise excites leakage states whose population can be detected and returned to the qubit subspace. Interest in these erasure qubits has been driven
Externí odkaz:
http://arxiv.org/abs/2408.00842
Autor:
Tyagi, Arjun, Sahay, Shubham
The unprecedented growth in the field of machine learning has led to the development of deep neuromorphic networks trained on labelled dataset with capability to mimic or even exceed human capabilities. However, for applications involving continuous
Externí odkaz:
http://arxiv.org/abs/2407.08242
Autor:
Heap, Winston, Sahay, Anurag
We prove a sharp upper bound for the fourth moment of the Hurwitz zeta function $\zeta(s,\alpha)$ on the critical line when the shift parameter $\alpha$ is irrational and of irrationality exponent strictly less than 3. As a consequence, we determine
Externí odkaz:
http://arxiv.org/abs/2405.10888
Autor:
Sahay, Rajat, Savakis, Andreas
The emergence of foundation models, such as the Segment Anything Model (SAM), has sparked interest in Parameter-Efficient Fine-Tuning (PEFT) methods that tailor these large models to application domains outside their training data. However, different
Externí odkaz:
http://arxiv.org/abs/2405.00293
Autor:
Sahay, Rahul, Verresen, Ruben
Although tensor network states constitute a broad range of exotic quantum states, their realization is challenging and often requires resources whose depth scales with system size. In this work, we explore criteria on the local tensors for enabling d
Externí odkaz:
http://arxiv.org/abs/2404.17087