Zobrazeno 1 - 10
of 20 513
pro vyhledávání: '"Ravishankar, A."'
Autor:
Quinton, Joshua, Fadel, Mayada, Xu, Junqing, Habib, Adela, Chandra, Mani, Ping, Yuan, Sundararaman, Ravishankar
Spin relaxation of electrons in materials involve both reversible dephasing and irreversible decoherence processes. Their interplay leads to a complex dependence of spin relaxation times on the direction and magnitude of magnetic fields, relevant for
Externí odkaz:
http://arxiv.org/abs/2411.18608
Autor:
Chen, Deming, Youssef, Alaa, Pendse, Ruchi, Schleife, André, Clark, Bryan K., Hamann, Hendrik, He, Jingrui, Laino, Teodoro, Varshney, Lav, Wang, Yuxiong, Sil, Avirup, Jabbarvand, Reyhaneh, Xu, Tianyin, Kindratenko, Volodymyr, Costa, Carlos, Adve, Sarita, Mendis, Charith, Zhang, Minjia, Núñez-Corrales, Santiago, Ganti, Raghu, Srivatsa, Mudhakar, Kim, Nam Sung, Torrellas, Josep, Huang, Jian, Seelam, Seetharami, Nahrstedt, Klara, Abdelzaher, Tarek, Eilam, Tamar, Zhao, Huimin, Manica, Matteo, Iyer, Ravishankar, Hirzel, Martin, Adve, Vikram, Marinov, Darko, Franke, Hubertus, Tong, Hanghang, Ainsworth, Elizabeth, Zhao, Han, Vasisht, Deepak, Do, Minh, Oliveira, Fabio, Pacifici, Giovanni, Puri, Ruchir, Nagpurkar, Priya
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet the growing complexity of AI workloads through innovative, full-stack co
Externí odkaz:
http://arxiv.org/abs/2411.13239
Investigating students' thinking in classroom tasks, particularly in science and engineering, is essential for improving educational practices and advancing student learning. In this context, the notion of Ways of Thinking (WoT) has gained traction i
Externí odkaz:
http://arxiv.org/abs/2411.11654
In this paper, we argue that iterative computation with diffusion models offers a powerful paradigm for not only generation but also visual perception tasks. We unify tasks such as depth estimation, optical flow, and amodal segmentation under the fra
Externí odkaz:
http://arxiv.org/abs/2411.08034
Deep learning (DL) methods have been extensively applied to various image recovery problems, including magnetic resonance imaging (MRI) and computed tomography (CT) reconstruction. Beyond supervised models, other approaches have been recently explore
Externí odkaz:
http://arxiv.org/abs/2410.04482
Autor:
Alkhouri, Ismail, Liang, Shijun, Huang, Cheng-Han, Dai, Jimmy, Qu, Qing, Ravishankar, Saiprasad, Wang, Rongrong
Diffusion models (DMs) are a class of generative models that allow sampling from a distribution learned over a training set. When applied to solving inverse imaging problems (IPs), the reverse sampling steps of DMs are typically modified to approxima
Externí odkaz:
http://arxiv.org/abs/2410.04479
Autor:
Li, Kejun, Xu, Junqing, Huynh, Uyen N., Bodin, Rikard, Gupta, Mayank, Multunas, Christian, Simoni, Jacopo, Sundararaman, Ravishankar, Verdany, Zeev Valy, Ping, Yuan
The hybrid organic-inorganic halide perovskite (HOIP), for example MAPbBr3, exhibits extended spin lifetime and apparent spin lifetime anisotropy in experiments. The underlying mechanisms of these phenomena remain illusive. By utilizing our first-pri
Externí odkaz:
http://arxiv.org/abs/2409.13200
Securing HPC has a unique threat model. Untrusted, malicious code exploiting the concentrated computing power may exert an outsized impact on the shared, open-networked environment in HPC, unlike well-isolated VM tenants in public clouds. Therefore,
Externí odkaz:
http://arxiv.org/abs/2409.09602
Autor:
Subramaniam, Ravishankar Chatta, Borse, Nikhil, Bralin, Amir, Morphew, Jason W., Rebello, Carina M., Rebello, N. Sanjay
Reform documents advocate for innovative pedagogical strategies to enhance student learning. A key innovation is the integration of science and engineering practices through Engineering Design (ED)-based physics laboratory tasks, where students tackl
Externí odkaz:
http://arxiv.org/abs/2409.08224
Autor:
Gautam, Siddhant, Klasky, Marc L., Nadiga, Balasubramanya T., Wilcox, Trevor, Salazar, Gary, Ravishankar, Saiprasad
Density reconstruction from X-ray projections is an important problem in radiography with key applications in scientific and industrial X-ray computed tomography (CT). Often, such projections are corrupted by unknown sources of noise and scatter, whi
Externí odkaz:
http://arxiv.org/abs/2408.12766