Zobrazeno 1 - 10
of 89 504
pro vyhledávání: '"Saeed, P."'
Autor:
Hosseininejad, Reyhaneh, Shukla, Megh, Saadatnejad, Saeed, Salzmann, Mathieu, Alahi, Alexandre
Human pose forecasting is inherently multimodal since multiple futures exist for an observed pose sequence. However, evaluating multimodality is challenging since the task is ill-posed. Therefore, we first propose an alternative paradigm to make the
Externí odkaz:
http://arxiv.org/abs/2412.18883
We study the ground-state phase diagram of the spin-$1/2$ Kitaev-Heisenberg model on the bilayer honeycomb lattice with large-scale tensor network calculations based on the infinite projected entangled pair state technique as well as high-order serie
Externí odkaz:
http://arxiv.org/abs/2412.17495
Early detection of cancer is critical in improving treatment outcomes and increasing survival rates, particularly for common cancers such as lung, breast, and prostate which collectively contribute to a significant global mortality burden. With advan
Externí odkaz:
http://arxiv.org/abs/2412.17155
Autor:
Petersen, Carsten Lunde, Zakeri, Saeed
We introduce a general framework to study the local dynamics of near-parabolic maps using the meromorphic $1$-form introduced by X.~Buff. As a sample application of this setup, we prove the following tameness result on invariant curves of near-parabo
Externí odkaz:
http://arxiv.org/abs/2412.17125
Autor:
Biniaz, Ahmad, Maheshwari, Anil, Mitchell, Joseph S. B., Odak, Saeed, Polishchuk, Valentin, Shermer, Thomas
We study the problem of guarding the boundary of a simple polygon with a minimum number of guards such that each guard covers a contiguous portion of the boundary. First, we present a simple greedy algorithm for this problem that returns a guard set
Externí odkaz:
http://arxiv.org/abs/2412.15053
As well known, the cross sections of the resonance and Quasi-Elastic (QE) scattering off nucleons depend on quantities known as form factors that describe the nucleon structure. There are alternative approaches to determine the values of these non-pe
Externí odkaz:
http://arxiv.org/abs/2412.13349
Autor:
Fabrizi, Federico, Cegielski, Piotr J., Goudarzi, Saeed, Kurahashi, Naho, Runkel, Manuel, Kreusel, Cedric, Chmielak, Bartos, Suckow, Stephan, Riedl, Thomas, Anantharaman, Surendra B., Mohammadi, Maryam, Lemme, Max C.
Silicon photonic integrated circuits (PICs) require cost-effective laser sources that can be monolithically integrated. The low cost and low-temperature solution processability of metal halide perovskites (MHPs) make them attractive alternatives to e
Externí odkaz:
http://arxiv.org/abs/2412.15245
Autor:
Zhang, Sai Qian, Li, Ziyun, Guo, Chuan, Mahloujifar, Saeed, Dangwal, Deeksha, Suh, Edward, De Salvo, Barbara, Liu, Chiao
Inverting visual representations within deep neural networks (DNNs) presents a challenging and important problem in the field of security and privacy for deep learning. The main goal is to invert the features of an unidentified target image generated
Externí odkaz:
http://arxiv.org/abs/2412.10448
Autor:
Buchin, Kevin, Kalb, Antonia, Maheshwari, Anil, Odak, Saeed, Smid, Michiel, Rehs, Carolin, Wong, Sampson
Given a point set $P$ in a metric space and a real number $t \geq 1$, an \emph{oriented $t$-spanner} is an oriented graph $\overrightarrow{G}=(P,\overrightarrow{E})$, where for every pair of distinct points $p$ and $q$ in $P$, the shortest oriented c
Externí odkaz:
http://arxiv.org/abs/2412.08165
In this study, we presented two innovative methods, which are Threshold-Based Derivative (TBD) and Adaptive Derivative Peak Detection(ADPD), that enhance the accuracy of Learning models for blood glucose estimation using Mid-Infrared (MIR) spectrosco
Externí odkaz:
http://arxiv.org/abs/2412.07821