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Thesis Tide

Thesis Tide ranks papers based on their relevance to the fields, with the goal of making it easier to find the most relevant papers. It uses AI to analyze the content of papers and rank them!

Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks

Graph Neural Networks (GNNs) are powerful at solving graph classification tasks, yet applied problems often contain noisy labels. In this work, we study GNN robustness to label noise, demonstrate GNN ...

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The study addresses a critical issue in the application of Graph Neural Networks (GNNs) to real-world problems: the presence of noisy labels. The empirical and theoretical exploration of GNN failure modes, alongside novel training strategies aimed at improving robustness without sacrificing performance, marks it as a significant contribution. The novelty of linking GNN robustness to Dirichlet Energy minimization adds a strong theoretical foundation. These elements underline the paper's potential for advancing GNN application in domains affected by label noise and providing pathways for future research on robustness strategies.

Apollon Real-Time Adaptive Optics (ARTAO) -- Astronomy-Inspired Wavefront Stabilization in Ultraintense Lasers

Traditional wavefront control in high-energy, high-intensity laser systems usually lacks real-time capability, failing to address dynamic aberrations. This limits experimental accuracy due to shot-to-...

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The article presents a novel approach to wavefront stabilization in high-intensity laser systems, which is crucial for improving the accuracy and efficiency of applications in inertial fusion. Its real-time capabilities are particularly innovative, addressing a significant limitation in current methodologies. The methodological rigor and integration of high-speed control systems exhibit advanced technical solutions that could be broadly applicable, increasing its impact. However, the mention of critical challenges within the unique laser environment suggests room for further exploration and refinement before widespread adoption.

Maximizing the signless Laplacian spectral radius of some theta graphs

Let $Q(G)=D(G)+A(G)$ be the signless Laplacian matrix of a simple graph $G$ , where $D(G)$ and $A(G)$ are the degree diagonal matrix and the adjacency matrix of $G&#...

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The paper introduces innovative results concerning the spectral properties of specific graph families, namely theta graphs and friendship graphs. The exploration of relationships between the signless Laplacian spectral radius and the structure of these graphs contributes significantly to the understanding of spectral graph theory. The methodological approach is rigorous, addressing combinatorial structures with broad implications for graph theory and its applications in various fields, which elevates its relevance.

Outcome-guided spike-and-slab Lasso Biclustering: A Novel Approach for Enhancing Biclustering Techniques for Gene Expression Analysis

Biclustering has gained interest in gene expression data analysis due to its ability to identify groups of samples that exhibit similar behaviour in specific subsets of genes (or vice versa), in contr...

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The article presents a novel biclustering approach that integrates disease outcomes, enhancing interpretability and clinical relevance, making it potentially transformative for gene expression analysis. It demonstrates methodological rigor through comprehensive simulations and compares favorably against established methods, indicating a meaningful advancement in the field.

The two-boost problem and Lagrangian Rabinowitz Floer homology

The two-boost problem in space mission design asks whether two points of phase space can be connected with the help of two boosts of given energy. We provide a positive answer for a class of systems r...

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The article tackles a significant problem in space mission design, which is both relevant and practical, providing a new mathematical approach through Lagrangian Rabinowitz Floer homology. The application of advanced mathematical techniques to a real-world problem is novel, and addressing the challenge of noncompactness adds to both the rigor and complexity of the work. Such advancements could influence future research in orbital mechanics and control theory, proving its importance.

Detecting Conversational Mental Manipulation with Intent-Aware Prompting

Mental manipulation severely undermines mental wellness by covertly and negatively distorting decision-making. While there is an increasing interest in mental health care within the natural language p...

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The article presents a novel approach with Intent-Aware Prompting (IAP) which improves the detection of mental manipulation through large language models. The study demonstrates methodological rigor by comparing IAP to other strategies and shows substantial gains in performance metrics like reducing false negatives. This work is timely given the rising significance of mental wellness and the practical implications for mental health care, positioning it as a potential catalyst for further research in both NLP and psychological assessment.

Equivalence classes of lower and upper descent weak Bruhat intervals

Let $\mathrm{Int}(n)$ denote the set of nonempty left weak Bruhat intervals in the symmetric group $\mathfrak{S}_n$ . We investigate the equivalence relation $\overset{D}{\simeq}...

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The paper presents a novel investigation into the equivalence relation on weak Bruhat intervals, defining new posets and characterizations that contribute significant insights to the algebraic combinatorial structure. The rigorous exploration of lower and upper descent intervals adds depth to existing knowledge and opens avenues for future research in related areas. However, the advanced nature of the topic may limit its immediate applicability to broader fields.

A nonreciprocal and tunable active acoustic scatterer

A passive loudspeaker mounted in a duct acts as a reciprocal scatterer for plane waves impinging on either of its sides. However, the reciprocity can be broken by means of an asymmetric electroacousti...

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The article introduces a novel concept of using active acoustic scatterers that break the reciprocity of sound waves, which is a significant advancement in the field of acoustics. The experimental verification of theoretical predictions and the innovative applications demonstrated (such as asymmetric reflectionless configurations and directional amplification) highlight both novelty and practical applicability. However, the paper's impact could be limited by the specific context (subwavelength regime) in which these phenomena were explored, which may restrict broader applicability across all acoustic applications.

$L^p$ -Sobolev inequalities on Euclidean submanifolds

The paper is devoted to prove Allard-Michael-Simon-type $L^p$ -Sobolev (p>1) inequalities with explicit constants on Euclidean submanifolds of any codimension. Such inequalities co...

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The article presents a novel approach to $L^p$-Sobolev inequalities that can potentially advance the understanding of geometric analysis on submanifolds. Its reliance on optimal mass transport theory suggests a significant methodological rigor and a fresh perspective that could inspire future research in both geometric analysis and related areas. The explicit constants provided enhance its applicability, making it a robust contribution to the field. However, the specificity of the topic might limit its broader interdisciplinary impact.

Polymer Composites Informatics for Flammability, Thermal, Mechanical and Electrical Property Predictions

Polymer composite performance depends significantly on the polymer matrix, additives, processing conditions, and measurement setups. Traditional physics-based optimization methods for these parameters...

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The article presents a novel extension of Polymer Informatics into polymer composites, incorporating AI-based methods that could significantly enhance property prediction and design efficiency. The methodological rigor is notable, especially with the development of a comprehensive database and machine-learning models validated on unseen data. The ability to streamline traditional optimization processes could create substantial advancements in the field.

Embedding and Enriching Explicit Semantics for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VIReID) retrieves pedestrian images with the same identity across different modalities. Existing methods learn visual content solely from images, lacking the...

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This article presents a novel approach to an important problem in computer vision, specifically the challenge of visible-infrared person re-identification. The introduction of the EEES framework is significant due to its integration of language-vision models and multi-view information, addressing a gap in the current methodologies. The methodological rigor, with clear problem formulation and validation through experiments, indicates that this research has the potential to make a substantial impact in its field and inspire future work in both VIReID and related areas.

On-demand Quick Metasurface Design with Neighborhood Attention Transformer

Metasurfaces are reshaping traditional optical paradigms and are increasingly required in complex applications that demand substantial computational resources to numerically solve Maxwell's equati...

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The article presents an innovative approach to metasurface design, utilizing a novel Neighborhood Attention Transformer for rapid and accurate predictions. Its potential for revolutionizing how researchers approach complex optical problems, including large-scale systems and high-density metadevices, indicates significant advancements in the field. The high speedup factor and applicability to practical examples enhance its relevance.

A study of the transition to a turbulent shock using a coarse-graining approach to ion phase space transport

Shocks and turbulence are ubiquitous phenomena, responsible for particle acceleration to very high energies in a large collection of astrophysical systems. Using self-consistent, hybrid-kinetic simula...

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The study introduces a novel methodological framework (coarse-graining approach) to analyze the transition between shock and turbulence, a vital process in astrophysical contexts. The use of hybrid-kinetic simulations demonstrates methodological rigor, and the implications for upstream proton transport are significant for understanding particle acceleration processes. The applicability of the approach to other systems enhances its interdisciplinary appeal. The combination of a novel method and its relevant applications warrants a high relevance score.

Relativistic Embedded Equation-of-Motion Coupled-Cluster Approach to the Core-Ionized States of Actinides: A Case Study of Uranyl(VI) in Cs $_2$ UO $_2$ Cl $_4$

We investigate the core-level ionization energies of the bare uranyl ion (UO $_2^{2+}$ ) and its interaction with X-rays when it is hosted in the Cs $_2$ UO $_2$ Cl $_4$ cryst...

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The study presents a novel application of relativistic coupled-cluster methods to core-ionized states of actinides, an area of high interest given the relevance of actinides in both environmental and nuclear science. The rigorous evaluation of Hamiltonians and basis sets adds to the methodological robustness. The implications for understanding spectroscopic properties in the context of X-ray interactions is impactful for both theoretical and experimental chemists, especially in the field of actinide chemistry.

A new class of semiclassical gravity solutions, gravitational quantum stealths and regular Cauchy horizons

We consider semiclassical gravity with a Klein-Gordon field with mass $m^2 \geq 0$ and curvature coupling $ξ= 1/2$ . We identify a special class of Hadamard two-point functions for whic...

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The article presents a novel class of solutions in semiclassical gravity, which is a significant advancement as it deals with the well-posedness of such systems without spacetime symmetries. The identification of gravitational quantum stealth configurations also adds a fresh perspective to the understanding of quantum fields in curved spacetime. It bridges classical and quantum gravity, suggesting practical implications for both theoretical and applied settings. However, the complexity of the topic might limit its immediate accessibility to a broader audience within the field.

Remarks on some infinitesimal symmetries of Khovanov--Rozansky homologies in finite characteristic

We give a new proof of a theorem due to Shumakovitch and Wang on base point independence of Khovanov--Rozansky homology in characteristic $p$ . Some further symmetries of $\mathfrak{gl}(p)&...

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The article presents a novel proof of an established theorem in a relatively niche area of algebraic topology and homological algebra. The discussion on $rak{gl}(p)$-homology adds depth and could inspire further explorations in the intersection of finite characteristic theories and homological symmetries. Its focus on base point independence has implications for broader applications in knot theory and categorification, contributing to both theoretical understanding and potential applications.

Combinatorial Characterization of Exponential Families of Lumpable Stochastic Matrices

It is known that the set of lumpable Markov chains over a finite state space, with respect to a fixed lumping function, generally does not form an exponential family of stochastic matrices. In this wo...

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The article presents a novel investigation into the characterization of lumpable Markov chains, a significant aspect of stochastic processes. By establishing efficient and verifiable conditions for these matrices to form exponential families, it addresses a gap in the existing knowledge and has potential implications for both theory and application. The methodological rigor appears strong, suggesting that the findings could influence future studies in similar areas.

3 dimensional Wythoff Nim

We introduce a new generalization of Wythoff Nim using three piles of stones. We show that its P-positions have finite difference properties and produce a partition of positive integers. Further, we g...

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This article introduces a novel generalization of Wythoff Nim, a well-studied combinatorial game, and provides significant insight into its P-positions. The rigorous approach to finite difference properties and the conjecture regarding the semi-line approximation enhances its theoretical contribution, suggesting further avenues for research both mathematically and pedagogically. Its exploration of algebraic numbers also opens the door for interdisciplinary connections.

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

Grasping objects successfully from a single-view camera is crucial in many robot manipulation tasks. An approach to solve this problem is to leverage simulation to create large datasets of pairs of ob...

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The article presents a novel method for generating grasp poses using diffusion models, which is a significant advancement in the field of robotic manipulation. The use of partial point clouds and the introduction of collision-avoidance guidance highlight methodological rigor and innovative problem-solving. The empirical validation demonstrating a high success rate in real-world applications strengthens its applicability and relevance for future robotics research.

Searching for dual/lensed quasar candidates with spectroscopic surveys

Dual and lensed quasars are valuable astrophysical targets in many aspects. Dual quasars, considered as the precursors of supermassive black hole binaries, can provide crucial insights into how black ...

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The article presents a systematic approach to identify potential dual and lensed quasars, which are of significant astrophysical interest. The use of large spectroscopic datasets and the detailed analysis of broad emission line profiles showcases methodological rigor. The findings contribute to understanding black hole formation and evolution, as well as refining cosmological constants. However, the impact is somewhat limited by the ongoing nature of the research and the need for additional confirmations of the candidates identified.