21 papers · ranked by Valyu relevance
Wenwen Liao, Hang Ruan, Jianbo Yu, Xiaofeng Yang + 2 more
—Metric-based few-shot approaches have gained significant popularity due to their relatively straightforward implementation, high interpretability, and computational efficiency. However, stemming from the batch-independence assumption during testing, which prevents the model from leveraging valuable knowledge…
Alexander A. Boulgakov, Erhu Xiong, Sanchita Bhadra, Andrew D. Ellington + 1 more
We extend the concept of DNA proximity ligation from a single readout per oligonucleotide pair to multiple reversible, iterative ligations re-using the same oligonucleotide molecules. Using iterative proximity ligation (IPL), we can in principle capture multiple ligation events between each oligonucleotide and its…
Yushi Liu, Yan Wang, Chengzhi Liu, Madhu Chetty
During the iterative process of the progressive iterative approximation, it is necessary to calculate the difference between the current interpolation curve and the corresponding data points, known as the adjustment vector. To achieve more precise adjustments of control points, this paper decomposes the adjustment…
Jingguo Dai, Yeqing Yi, Chengzhi Liu, Xuebo Zhang
In (Dai et al. 2023), the authors proposed a fast algorithm for surface reconstruction that converges rapidly from point cloud data by alternating Anderson extrapolation with implicit progressive iterative approximation (I-PIA). This algorithm employs a fixed step size during iterations to enhance convergence. To…
Authors not listed
Bottom-up coarse-graining enables efficient simulation of complex molecular systems at mesoscopic scales. Many methods capture structural features well but often overestimate pressure, as computed by the virial theorem, due to thermodynamic representability issues. This limits utility, particularly for studying…
Shane Koscielniak
Before AI and neural nets, the excitement was about iterative learning control (ILC): the idea to train robots to perform repetitive tasks, or train a system to reject quasiperiodic disturbances. The excitement waned after the discovery of "learning transients" in systems which satisfy the ILC asymptotic convergence…
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo
— We propose novel iterative learning control algorithms to track a reference trajectory in resource-constrained control systems. In many applications, there are constraints on the number of control actions, delivered to the actuator from the controller, due to the limited bandwidth of communication channels or…
Elizabeta Šamec, Petra Gidak, Krešimir Fresl
Constrained form-finding results in a nonlinear system of equations unless a linear form-finding method (force density method) is iteratively applied until the given constraints are satisfied. Because the goal of this paper is to contribute to the further development of this method, a brief overview of the method and…
Valerio Fasano, Rory Mykura, James Fordham, Jack Rogers + 3 more
Automation has fuelled dramatic advances in fields such as proteomics and genomics (e.g., in preparation of proteins and nucleic acids),1,2 enabling non-experts to prepare, test and analyse complex biological molecules. However, the field of automated organic synthesis lags far behind, partly because of the complexity…
Yarong Li, Chuandong Qin, Heming Jia
Inspired by the hovering, diving, and cooperative hunting behaviors of the pied kingfisher, the Pied Kingfisher Optimizer (PKO) has demonstrated competitive performance in optimization tasks. However, it exhibits several phase-specific limitations, including uneven population distribution caused by random…
Eric Hermes, Khachik Sargsyan, Habib Najm, Judit Zádor
We present a new algorithm for the optimization of molecular structures to saddle points on the potential energy surface using a redundant internal coordinate system. This algorithm automates the procedure of defining the internal coordinate system, including the handling of linear bending angles, e.g. through the…
Yusuf Fatihu Hamza, Hongwei Lin, Zihao Li
Implicit curve and surface reconstruction attracts the attention of many researchers and gains a wide range of applications, due to its ability to describe objects with complicated geometry and topology. However, extra zero-level sets or spurious sheets arise in the reconstruction process makes the reconstruction…
Zhixing Cao, Hans-Bernd Dürr, Christian Ebenbauer, Frank Allgöwer + 1 more
'Furong Gao'] Abstract—In this paper, we develop an iterative learning control method integrated with extremum seeking control to track a time-varying optimizer within finite time horizon. The behavior of the extremum seeking system is analyzed via an approximating system – the modified Lie bracket system. The modified…
Lippl Samuel, Peters Benjamin, Kriegeskorte Nikolaus
Recent work has suggested that feedforward residual neural networks (ResNets) approximate iterative recurrent computations. Iterative computations are useful in many domains, so they might provide good solutions for neural networks to learn. Here we quantify the degree to which ResNets learn iterative solutions and…
Alessandro Colombo, Mario Sauppe, Andre Al Haddad, Kartik Ayyer + 39 more
'Morsal Babayan' 'Rebecca Boll' 'Ritika Dagar' 'Simon Dold' 'Thomas Fennel' 'Linos Hecht' 'Gregor Knopp' 'Katharina Kolatzki' 'Bruno Langbehn' 'Filipe R. N. C. Maia' 'Abhishek Mall' 'Parichita Mazumder' 'Tommaso Mazza' 'Yevheniy Ovcharenko' 'Ihsan Caner Polat' 'Dirk Raiser' 'Julian C. Schäfer-Zimmermann' 'Kirsten…
Yu Chen, Zihao Wang, Jingrong Zhang, Lun Li + 3 more
'Fa Zhang'] Electron tomography (ET) plays an important role in studying in situ cell ultrastructure in three-dimensional space. Due to limited tilt angles, ET reconstruction always suffers from the “missing wedge” problem. With a validation procedure, iterative compressed-sensing optimized NUFFT reconstruction (ICON)…
Richard W. Longman, Shuo Liu, Tarek A. Elsharhawy
Various spacecraft have sensors that repeatedly perform a prescribed scanning maneuver, and one may want high precision. Iterative Learning Control (ILC) records previous run tracking error, adjusts the next run command, aiming for zero tracking error in the real world, not our model of the world. In response to a…
Yoshio Nishimoto
Complete active space second-order perturbation theory (CASPT2) is useful for accurately predicting properties of complex electronic structures, but it is well known that it systematically underestimates excitation energies. The underestimation can be corrected using the ionization potential--electron affinity (IPEA)…
Benjamin B. Chu, Seyoon Ko, Jin J. Zhou, Aubrey Jensen + 3 more
In genome-wide association studies (GWAS), analyzing multiple correlated traits is potentially superior to conducting multiple univariate analyses. Standard methods for multivariate GWAS operate marker-by-marker and are computationally intensive. We present a penalized regression algorithm for multivariate GWAS based…
Authors not listed
Automated reaction path search based on quantum chemical calculations enables the construction of reaction path networks with minimal prior knowledge. When combined with kinetic simulation on the obtained network, essential mechanistic insights can be extracted to better understand and eventually design novel chemical…
Dongqi Liu, Nicholas L.F. Gallina, Chenhai Li, Nicole Irizarry-Tardi + 6 more
Enterotoxigenic Escherichia coli (ETEC) strains expressing F4 and F18 fimbriae are major causes of neonatal and post-weaning diarrhea in swine. Although epithelial maturation influences susceptibility in vivo, its impact on ETEC-host interactions remains poorly defined. This study characterizes emerging F18 ETEC…