25 papers · ranked by Valyu relevance
Taira Kaminaga, Hampei Sasahara
Matrix ellipsoids provide a standard framework for representing bounded uncertainties in data-driven control. Since noise models for sequential observations are naturally represented as the Minkowski sum of multiple matrix ellipsoids, applying existing robust control methods, which typically assume a single ellipsoidal…
Juwon Jung, Leeju Hwang, Nagyeong Kim, Kibaek Kim + 5 more
Spectroscopic ellipsometry (SE) is a powerful, non-destructive technique for nanoscale structural characterization. However, conventional SE data analysis typically assumes perfectly periodic specimen structures, overlooking fabrication-induced structural variations and thereby reducing the accuracy of predicted…
Zhi Gu, Wai Ho Mow
—In wireless communications, the performance of non-orthogonal sequence sets significantly affects the level of multi-user interference when the number of users surpasses the sequence length. The design of non-orthogonal sequences plays a crucial role in both the non-orthogonality of the pilots in multicell systems and…
Rushabha Balaji, Kuan-Lin Chen, Danijela Cabric, Bhaskar D. Rao
Sparse Bayesian Learning is one of the most popular sparse signal recovery methods, and various algorithms exist under the SBL paradigm. However, given a performance metric and a sparse recovery problem, it is difficult to know a-priori the best algorithm to choose. This difficulty is in part due to a lack of a unified…
Xiqi Gao, Akang Wang, Junkai Zhang, Qihong Duan + 1 more
—Precoding design based on weighted sum-rate (WSR) maximization is a fundamental problem in downlink multi-user multiple-input multiple-output (MU-MIMO) systems. While the weighted minimum mean-square error (WMMSE) algorithm is a standard solution, its high computational complexity—cubic in the number of base station…
Shyan Akmal, Nick Fischer
Weighted variants of triangle detection are an important object of study because of their prominence in fine-grained complexity. We revisit the Node-Weighted Triangle problem, where the goal is to decide if a vertex-weighted graph contains a triangle whose node weights sum to zero. This problem has been the focus of a…
Xingyu Yuan, Hui Chen, Lei Liu, He Li + 1 more
Multimodal Large Language Models (MLLMs) offer powerful capabilities for processing and generating text, image, and audio data, enabling real-time intelligence in diverse applications. Deploying MLLM services at the edge can reduce transmission latency and enhance responsiveness, but it also introduces significant…
Soumyajit Mandal, Preetam Mukherjee
This paper describes MMP, a three-stage framework for systematic quantum optimization of constrained molecular docking problems. The protocol addresses the “formulation bottleneck”—the critical challenge of translating constrained optimization problems into valid QUBO (Quadratic Unconstrained Binary Optimization)…
Authors not listed
Chemical reactions in solution are central to biological function, synthetic chemistry, and materials design. Accurate modeling of these systems is essential for obtaining mechanistic insights, but remains computationally demanding. Hybrid machine-learned/molecular mechanics (ML/MM) simulations offer a promising…
Valdemar Farre, José Vega-Sánchez, Alejandro Cama-Pinto, Victor Garzón Pacheco + 5 more
The transition to Beyond fifth generation of wireless networks (B5G) and sixth generation of wireless networks (6G) exposes the severe interference and coverage limitations of conventional cell-centric architectures. To overcome these bottlenecks, this paper presents a scalable four-layer radio network planning…
Authors not listed
We present the next generation of AMP, a neural network potential (NNP) with anisotropic message passing designed to study large biomolecular systems at DFT accuracy in the condensed phase using a multiscale approach similar to quantum-mechanics/molecular-mechanics (QM/MM) with electrostatic embedding. We trained AMPv3…
Yanbo Wang, Yuxuan Wang, Chen Chen, Chunyu Xue + 5 more
With the wide adoption of Multimodal Models (MMs) in real-world scenarios, it is significant to efficiently train emerging MMs that exhibit increasingly complex module architectures. For MM deployment, existing works allocate a GPU to only one MM module in a temporal-multiplexing manner; this compromises training…
Sina Straub, Raphaela Schöpfer, Sarah Godehardt, Florian Wüthrich + 1 more
Accurate electrode placement is essential for studies using transcranial direct current stimulation (tDCS) since it determines whether – and to which extent - the intended brain region was modulated. Precise electrode placement also reduces between-subject variability. Using in-scanner tDCS, accuracy and precision of…
Ran Wang, Weiquan Huang, Junyu Wu, Chen Chen + 3 more
To address the rapid population diversity loss and premature convergence of the Artificial Lemming Algorithm (ALA) in complex optimization problems, this paper proposes an Improved Artificial Lemming Algorithm (IALA) with multi-strategy enhancements inspired by lemming behavior. First, a non-uniform mutation operator…
Yannic Maus, Janosch Ruff, Sonia Simons, George Skretas
Real-world networks like the internet share patterns like a power law degree distribution and a high clustering coefficient. Many of these properties are captured by the generative model of hyperbolic random graphs (HRGs), which provides a theoretical framework for studying such networks. Motivated by the observation…
Ahmed Mehedi Nizam, Zeheng Wang
We introduce a supervised learning method that classifies each test point by selecting the class for which its inclusion causes minimum displacement of the class’s existing n-th central moment. After each such inclusion, the n-th central moment of the corresponding class is updated by some incremental calculations in…
Authors not listed
Channelrhodopsin-2 (ChR2) is a light-gated ion channel widely used in optogenetics, a technique that enables precise control of neuronal activity by genetically engineering light-sensitive proteins into cell membranes. This protein exists in dimeric form, with each monomer containing a retinal Schiff base (RSB) moiety…
Oz Shaul, Tali Ilovitsh
Beam shaping of ultra-short pulses is essential for medical ultrasound, where single-cycle excitations are required to achieve high axial resolution and improve frame rate. Conventional methods, such as the Gerchberg–Saxton (GS) algorithm or more recent deep learning approaches, are generally effective for…
Hoang M. Tran, Tung V. Dinh, Hoa T. Nguyen, Huy T. Nguyen + 1 more
This paper investigates a reconfigurable intelligent surface (RIS)-aided hybrid beamforming (HBF) framework for downlink multi-user millimeter-wave (mmWave) systems operating under practical hardware constraints. Given the severe path-loss disparity and blockage sensitivity inherent in mmWave propagation, RIS-assisted…
Authors not listed
To elucidate the relationship between conformational changes upon protein folding and amide I bands of infrared (IR) spectrum, we investigated amide I bands of chignolin, which not only folds to a native, β-hairpin conformation but also misfolds to another conformation. Chignolin’s conformations were sampled using…
Authors not listed
Neural network potentials (NNPs) can provide insight into biological processes at atomic resolution. Training these NNPs requires large and diverse datasets of molecules, conformations, and configurations. However, so far little attention has been paid to the description of solvation, despite its importance for…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Michael L. Helde, Alexander G. Dimitrov
We adapted an olfactory neuromorphic algorithm to image and sound recognition. To achieve this, we carried out specific preprocessing procedures that were tailored to each modality. For images, we used the NIST digits dataset directly. For sound, we used samples from the Google Speech Command dataset. A gammatone…
Dijian Xu, Yao Huang, Apurba Deb Mitra, Simon X. Yang + 5 more
At present, most of the switchgear partial discharge detection means are offline detection and cannot monitor multiple partial discharge sources online at the same time. Based on this, this paper investigates the application of ultrasonic technology in localized discharge fault localization in high-voltage switchgear…
Sumedh S Nagrale, Alik S Widge
The use of Deep Brain Stimulation (DBS) on the ventral capsule/ventral striatum (VCVS) has therapeutic potential for patients with refractory psychiatric disorders, but clinical success is impeded by the need for a time-consuming and trial-and-error process when setting the parameters, this process relying on…