Tootfinder

Steelers 53-man roster projection: Emerging running back makes his case to make Pittsburgh's roster

https://www.cbssports.com/nfl/news/steeler

Final Cowboys 53-man roster projection: Injury timelines affect several key spots https://www.nytimes.com/athletic/6570778/2025/08/23/dallas-cowboys-final-roster-projection-preseason/

Parallel Polyhedral Projection Method for the Convex Feasibility Problem
Pablo Barros, Roger Behling, Vincent Guigues
https://arxiv.org/abs/2506.15895 http…

Parallel Polyhedral Projection Method for the Convex Feasibility Problem
In this paper, we introduce and study the Parallel Polyhedral Projection Method (3PM) and the Approximate Parallel Polyhedral Projection Method (A3PM) for finding a point in the intersection of finitely many closed convex sets. Each iteration has two phases: parallel projections onto the target sets (exact in 3PM, approximate in A3PM), followed by an exact or approximate projection onto a polyhedron defined by supporting half-spaces. These strategies appear novel, as existing methods largely fo…

Optimal differentially private kernel learning with random projection
Bonwoo Lee, Cheolwoo Park, Jeongyoun Ahn
https://arxiv.org/abs/2507.17544 https://

Optimal differentially private kernel learning with random projection
Differential privacy has become a cornerstone in the development of privacy-preserving learning algorithms. This work addresses optimizing differentially private kernel learning within the empirical risk minimization (ERM) framework. We propose a novel differentially private kernel ERM algorithm based on random projection in the reproducing kernel Hilbert space using Gaussian processes. Our method achieves minimax-optimal excess risk for both the squared loss and Lipschitz-smooth convex loss fu…

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Detection and Reconstruction of a Random Hypergraph from Noisy Graph Projection
Shuyang Gong, Zhangsong Li, Qiheng Xu
https://arxiv.org/abs/2506.17527 http…

Detection and Reconstruction of a Random Hypergraph from Noisy Graph Projection
For a $d$-uniform random hypergraph on $n$ vertices in which hyperedges are included i.i.d.\ so that the average degree in the hypergraph is $n^{δ+o(1)}$, the projection of such a hypergraph is a graph on the same $n$ vertices where an edge connects two vertices if and only if they belong to a same hyperedge. In this work, we study the inference problem where the observation is a \emph{noisy} version of the graph projection where each edge in the projection is kept with probability $p=n^{-1+α…

Steelers' final 53-man roster projection: Who are Rodgers' receivers? https://www.espn.com/nfl/story/_/id/46010142/pittsburgh-steelers-final-53-man-roster-projection-2025

Cowboys 53-man pre-training camp projection: Does Diggs make it? 2nd rounder cut? https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/23/cowboys-53-man-pre-training-camp-projec…

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
Fang Chen, Weifeng Zhang, Xingyu Ai, BingXuan Li, An Li, Qiegen Liu
https://arxiv.org/abs/2506.16733

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
Positron emission tomography (PET) is widely used to assess metabolic activity, but its application is limited by the availability of radiotracers. 18F-labeled fluorodeoxyglucose (18F-FDG) is the most commonly used tracer but shows limited effectiveness for certain tumors. In contrast, 6-18F-fluoro-3,4-dihydroxy-L-phenylalanine (18F-DOPA) offers higher specificity for neuroendocrine tumors and neurological disorders. However, its complex synthesis and limitations in transportation and clinical …

Cowboys' final 53-man roster projection: Will Mazi Smith make the roster? Is Trevon Diggs healthy? https://www.espn.com/nfl/story/_/id/46029785/dallas-cowboys-final-53-man-roster-projection-2025

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

NFL Projection Model, AFC win totals: Will the Chiefs still reign supreme? https://www.nytimes.com/athletic/6562753/2025/08/20/nfl-projection-model-afc-win-totals-2025/

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
Chengcan Wu, Zeming Wei, Huanran Chen, Yinpeng Dong, Meng Sun
https://arxiv.org/abs/2508.15449

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
While Large Language Models (LLMs) have demonstrated impressive performance in various domains and tasks, concerns about their safety are becoming increasingly severe. In particular, since models may store unsafe knowledge internally, machine unlearning has emerged as a representative paradigm to ensure model safety. Existing approaches employ various training techniques, such as gradient ascent and negative preference optimization, in attempts to eliminate the influence of undesired data on ta…

GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP
Myeongwon Jung, Takanori Fujiwara, Jaemin Jo
https://arxiv.org/abs/2507.17174 https://

GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP
Despite the widespread use of Uniform Manifold Approximation and Projection (UMAP), the impact of its stochastic optimization process on the results remains underexplored. We observed that it often produces unstable results where the projections of data points are determined mostly by chance rather than reflecting neighboring structures. To address this limitation, we introduce (r,d)-stability to UMAP: a framework that analyzes the stochastic positioning of data points in the projection space. …

$\textit{A Priori}$ Error Analysis for the $p$-Stokes Equations with Slip Boundary Conditions: A Discrete Leray Projection Framework
Alex Kaltenbach, J\"orn Wichmann
https://arxiv.org/abs/2507.15016

$\textit{A Priori}$ Error Analysis for the $p$-Stokes Equations with Slip Boundary Conditions: A Discrete Leray Projection Framework
We present an $\textit{a priori}$ error analysis for the kinematic pressure in a fully-discrete finite-differences/-elements discretization of the unsteady $p$-Stokes equations, modelling non-Newtonian fluids. This system is subject to both impermeability and perfect Navier slip boundary conditions, which are incorporated either weakly via Lagrange multipliers or strongly in the discrete velocity space. A central aspect of the $\textit{a priori}$ error analysis is the discrete Leray projection,…

Patriots: Will two former starters make Vrabel's roster? https://www.espn.com/nfl/story/_/id/46009841/new-england-patriots-final-53-man-roster-projection-2025

Moment-like maps and real algebraic functions with prescribed preimages
Naoki Kitazawa
https://arxiv.org/abs/2506.17791 https://arxiv…

Moment-like maps and real algebraic functions with prescribed preimages
We discuss a problem on singularity theory of differentiable (smooth) or real algebraic maps which is different from knowing existence and has been difficult: constructing explcit real algebraic functions. We discuss construction of real algebraic functions with exactly one singular value, the singular points being of definite type, and prescribed preimages of single points. We discuss generalizations of the canonical projection of the unit sphere around the pole and the Morse-Bott functions …

Variational Quantum Latent Encoding for Topology Optimization
Alireza Tabarraei
https://arxiv.org/abs/2506.17487 https://arxiv.org/pd…

Variational Quantum Latent Encoding for Topology Optimization
A variational framework for structural topology optimization is developed, integrating quantum and classical latent encoding strategies within a coordinate-based neural decoding architecture. In this approach, a low-dimensional latent vector, generated either by a variational quantum circuit or sampled from a Gaussian distribution, is mapped to a higher-dimensional latent space via a learnable projection layer. This enriched representation is then decoded into a high-resolution material distrib…

np spin correlations in the deuteron ground state
Ashutosh Singh, Ankit Kumar Das, Ankit Kumar, P. Arumugam
https://arxiv.org/abs/2506.16621 https://

np spin correlations in the deuteron ground state
The deuteron is the simplest atomic nucleus made of two particles - a proton and a neutron. In this work, we study how their spins are quantum entangled with each other. We study two cases: when the deuteron is in a fixed projection of total angular momentum, and when it exists in a superposition of all projections. Our findings show that the spins are most entangled when the total projection is zero, and that strong entanglement still exists even when all spin states are superposed.

Ergodic averages and the large intersection property along IP sets
Bryna Kra, Or Shalom
https://arxiv.org/abs/2506.17771 https://arxi…

Ergodic averages and the large intersection property along IP sets
We study multiple ergodic averages along IP sets, meaning we restrict iterates in the averages to all finite sums of some infinite sequence of natural numbers. We give criteria for convergence and divergence in mean of these multiple averages and derive sufficient conditions for convergence to the projection onto the space of invariant functions. For a class of sequences that, roughly speaking, only have rational obstructions to such a limit, we show that the behavior is controlled by nilsystem…

The matched projection and geodesics of the Grassmann manifold
Esteban Andruchow
https://arxiv.org/abs/2508.14870 https://arxiv.org/pdf/2508.14870

The matched projection and geodesics of the Grassmann manifold
Given an idempotent operator $E$ in a complex Hilbert space ${\mathcal H}$, one can associate to it two orthogonal projections: - The polar decomposition $2E-1=(2P-1)|2E-1|$ provides an orthogonal projection $P$. That the unitary part in the decomposition of $2E-1$ is of this form, i.e., a selfadjoint unitary operator, is a remarkable observation done by G. Corach, H. Porta and L. Recht (see references below). - The question of which, among all orthogonal projections, is the one c…

NFL Projection Model, NFC win totals: How wide is gap between Eagles and everyone else? https://www.nytimes.com/athletic/6565019/2025/08/21/nfl-projection-model-nfc-win-totals-2025/

Raiders 53-man roster projection: What did we learn in OTAs and minicamp? https://www.nytimes.com/athletic/6433403/2025/06/20/las-vegas-raiders-53-man-roster-projection-minicamp/

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI
Zhenyu Yang, Chen Yang, Rihui Zhang, Minbin Chen, Chunhao Wang, Fang-Fang Yin
https://arxiv.org/abs/2507.15622

A Voxel-Wise Uncertainty-Guided Framework for Glioma Segmentation Using Spherical Projection-Based U-Net and Localized Refinement in Multi-Parametric MRI
Purpose: Accurate segmentation of glioma subregions in multi-parametric MRI (MP-MRI) is essential for diagnosis and treatment planning but remains challenging due to tumor heterogeneity and ambiguous boundaries. This study proposes an uncertainty-guided hybrid framework integrating spherical projection-based 2D modeling with targeted 3D refinement to enhance segmentation accuracy and interpretability. Methods: Using the BraTS2020 dataset (369 patients, four-modality MP-MRI), three 2D U-Nets wer…

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu
https://arxiv.org/abs/2506.12394

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
The advent of parameter-efficient fine-tuning methods has significantly reduced the computational burden of adapting large-scale pretrained models to diverse downstream tasks. However, existing approaches often struggle to achieve robust performance under domain shifts while maintaining computational efficiency. To address this challenge, we propose Low-rAnk Regulated Gradient Projection (LARGO) algorithm that integrates dynamic constraints into low-rank adaptation methods. Specifically, LARGO …

Commanders 53-man roster projection: Quarterbacks, wide receivers, trenches among biggest question marks

https://www.cbssports.com/nfl/news/command

Coarse graining of stochastic differential equations: averaging and projection method
Manh Hong Duong, Carsten Hartmann, Michela Ottobre
https://arxiv.org/abs/2506.14939

Coarse graining of stochastic differential equations: averaging and projection method
We study coarse-graining methods for stochastic differential equations. In particular we consider averaging and a type of projection operator method, sometimes referred to as effective dynamic via conditional expectations. The projection method (PM) we consider is related to the ``mimicking marginals'' coarse graining approach proposed by Gyöngy. The first contribution of this paper is to provide further theoretical background for the PM and a rigorous link to the Gyöngy method. Moreover, we …

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

Stein's theorem in the upper-half plane and Bergman spaces with weights
Aline Bonami (UO, IDP), Sandrine Grellier (UO, IDP), Beno\^it Sehba
https://arxiv.org/abs/2506.18377

Stein's theorem in the upper-half plane and Bergman spaces with weights
This is a companion paper to our previous one, Avatars of Stein's Theorem in the complex setting. In this previous paper, we gave a sufficient condition for an integrable function in the upper-half plane to have an integrable Bergman projection. Here we push forward methods and establish in particular a converse statement. This naturally leads us to study a family of weighted Bergman spaces for logarithmic weights (1 + ln + (1/___m(z)) + ln + (|z|)) k , which have the same kind of beh…

Zero-shot Volumetric CT Super-Resolution using 3D Gaussian Splatting with Upsampled 2D X-ray Projection Priors
Jeonghyun Noh, Hyun-Jic Oh, Byungju Chae, Won-Ki Jeong
https://arxiv.org/abs/2508.15151

Zero-shot Volumetric CT Super-Resolution using 3D Gaussian Splatting with Upsampled 2D X-ray Projection Priors
Computed tomography (CT) is widely used in clinical diagnosis, but acquiring high-resolution (HR) CT is limited by radiation exposure risks. Deep learning-based super-resolution (SR) methods have been studied to reconstruct HR from low-resolution (LR) inputs. While supervised SR approaches have shown promising results, they require large-scale paired LR-HR volume datasets that are often unavailable. In contrast, zero-shot methods alleviate the need for paired data by using only a single LR inpu…

San Francisco 49ers: Can the 49ers rely on young players to fill holes? https://www.espn.com/nfl/story/_/id/45784928/san-francisco-49ers-2025-training-camp-preview-roster-projection-brock-purdy-christian-…

from my link log —
Map projection transitions.
https://www.jasondavies.com/maps/transition/
saved 2025-06-28 https://

Map Projection Transitions
Smoothly animated map projections.

A convergence proof for a finite element discretization of Chorin's projection method of the incompressible Navier-Stokes equations
Franziska Weber
https://arxiv.org/abs/2508.13416

A convergence proof for a finite element discretization of Chorin's projection method of the incompressible Navier-Stokes equations
We study Chorin's projection method combined with a finite element spatial discretization for the time-dependent incompressible Navier-Stokes equations. The scheme advances the solution in two steps: a prediction step, which computes an intermediate velocity field that is generally not divergence-free, and a projection step, which enforces incompressibility by projecting this velocity onto the divergence-free subspace. We establish convergence, up to a subsequence, of the numerical approximatio…

Prediction of linear fractional stable motions using codifference
Matthieu Garcin, Karl Sawaya, Thomas Valade
https://arxiv.org/abs/2507.15437 https://

Prediction of linear fractional stable motions using codifference
The linear fractional stable motion (LFSM) extends the fractional Brownian motion (fBm) by considering $α$-stable increments. We propose a method to forecast future increments of the LFSM from past discrete-time observations, using the conditional expectation when $α>1$ or a semimetric projection otherwise. It relies on the codifference, which describes the serial dependence of the process, instead of the covariance. Indeed, covariance is commonly used for predicting an fBm but it is infinite…

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware
Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Hanjie Liu, Zhengwu Liu, Ngai Wong, Wang Kang
https://arxiv.org/abs/2508.11935

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware
State Space Models (SSMs) are efficient alternatives to traditional sequence models, excelling at processing long sequences with lower computational complexity. Their reliance on matrix multiplications makes them ideal for compute-in-memory (CIM) architectures, which improve energy efficiency by computing within memory arrays. However, device non-idealities in CIM introduce weight perturbations that can degrade inference accuracy. In this paper, we systematically analyze the robustness of SSMs …

Leading vector coupling in baryon semileptonic decays in large-$N_c$ chiral perturbation theory revisited: Extension to decuplet baryons
Ruben Flores-Mendieta, Guillermo Sanchez-Almanza
https://arxiv.org/abs/2507.15069

Leading vector coupling in baryon semileptonic decays in large-$N_c$ chiral perturbation theory revisited: Extension to decuplet baryons
The leading vector coupling defined in the semileptonic decay of a baryon is revisited in the framework of large-$N_c$ baryon chiral perturbation. Aspects of $SU(3)$ flavor symmetry breaking are taken into account in two ways: Explicitly through perturbative symmetry breaking and implicitly through the integrals occurring in the one-loop corrections. The analysis of perturbative breaking is performed by using flavor projection operators which are exceptionally helpful in understanding previousl…

Quantum Algorithms for Projection-Free Sparse Convex Optimization
Jianhao He, John C. S. Lui
https://arxiv.org/abs/2507.08543 https://

Quantum Algorithms for Projection-Free Sparse Convex Optimization
This paper considers the projection-free sparse convex optimization problem for the vector domain and the matrix domain, which covers a large number of important applications in machine learning and data science. For the vector domain $\mathcal{D} \subset \mathbb{R}^d$, we propose two quantum algorithms for sparse constraints that finds a $\varepsilon$-optimal solution with the query complexity of $O(\sqrt{d}/\varepsilon)$ and $O(1/\varepsilon)$ by using the function value oracle, reducing a fa…

Fisher-Orthogonal Projection Methods for Natural Gradient Descent with Large Batches
Yishun Lu, Wesley Armour
https://arxiv.org/abs/2508.13898 https://arxi…

Fisher-Orthogonal Projection Methods for Natural Gradient Descent with Large Batches
Modern GPUs are equipped with large amounts of high-bandwidth memory, enabling them to support mini-batch sizes of up to tens of thousands of training samples. However, most existing optimizers struggle to perform effectively at such a large batch size. As batch size increases, gradient noise decreases due to averaging over many samples, limiting the ability of first-order methods to escape sharp or suboptimal minima and reach the global minimum. Meanwhile, second-order methods like the natural…

Rigidity of highly twisted plat diagrams
Nir Lazarovich, Yoav Moriah, Tali Pinsky, Jessica S. Purcell
https://arxiv.org/abs/2508.07303 https://arxiv.org/pd…

Rigidity of highly twisted plat diagrams
In this paper we prove that if a knot or link has a sufficiently complicated plat projection, then that plat projection is unique. More precisely, if a knot or link has a $2m$-plat projection, where $m$ is at least four, and height at least two, and each twist region of the plat contains at least four crossings, then such a projection is unique up to obvious rotations. In particular, this projection gives a canonical form for such knots and links, and thus provides a classification of these lin…

Measures of Systems of Oscillators and Properties of Trajectories
Vsevolod Sakbaev (Steklov Mathematical Institute of Russian Academy of Sciences), Igor Volovich (Steklov Mathematical Institute of Russian Academy of Sciences)
https://arxiv.org/abs/2506.18093

Measures of Systems of Oscillators and Properties of Trajectories
Properties of trajectories of systems of harmonic oscillators equipped with a point, absolutely continuous or singular measure are considered in this paper. Linear flow of an infinite system of oscillators on an infinite dimensional tori in the phase space are studied. It was shown in [28] that for infinite-dimensional linear flows of a countable system of oscillators there is a new type of trajectories that is not periodic and has no transitive projection on any 4-dimensional symplectic subspa…

NFL Projection Model, NFC win totals: How wide is gap between Eagles and everyone else? https://www.nytimes.com/athletic/6565019/2025/08/21/nfl-projection-model-nfc-win-totals-2025/

Interactive Hybrid Rice Breeding with Parametric Dual Projection
Changjian Chen, Pengcheng Wang, Fei Lyu, Zhuo Tang, Li Yang, Long Wang, Yong Cai, Feng Yu, Kenli Li
https://arxiv.org/abs/2507.11848

Interactive Hybrid Rice Breeding with Parametric Dual Projection
Hybrid rice breeding crossbreeds different rice lines and cultivates the resulting hybrids in fields to select those with desirable agronomic traits, such as higher yields. Recently, genomic selection has emerged as an efficient way for hybrid rice breeding. It predicts the traits of hybrids based on their genes, which helps exclude many undesired hybrids, largely reducing the workload of field cultivation. However, due to the limited accuracy of genomic prediction models, breeders still need t…

Raiders’ 53-man roster projection: Who’s in, who’s out 1 week before cuts? https://www.reviewjournal.com/sports/raiders/raiders-53-man-roster-projection-whos-in-whos-out-1-week-before-cuts-3426086/

On the quantum algebra $su_q(1,1)$ from a Special Function standpoint
R. Alvarez-Nodarse, A. Arenas-Gomez
https://arxiv.org/abs/2507.14100 https://

On the quantum algebra $su_q(1,1)$ from a Special Function standpoint
In this paper, we study the tensor product of two unitary irreducible representations, as well as the tensor product of a unitary irreducible representation with a finite-dimensional one, and determine the corresponding Clebsch-Gordan coefficients. Using von Neumann's projection operator method, we obtain an explicit representation of these coefficients, which allows us to express them as symmetric q-hypergeometric series. Finally, by leveraging the properties of the q-hypergeometric function, …

Project-connex Decompositions and Tractability of Aggregate Group-by Conjunctive Queries
Diego Figueira, Cibele Freire
https://arxiv.org/abs/2507.14101 htt…

Project-connex Decompositions and Tractability of Aggregate Group-by Conjunctive Queries
We introduce 'project-connex' tree-width as a measure of tractability for counting and aggregate conjunctive queries over semirings with 'group-by' projection (also known as 'AJAR' or 'FAQ' queries). This elementary measure allows to obtain comparable complexity bounds to the ones obtained by previous structural conditions tailored for efficient evaluation of semiring aggregate queries, enumeration algorithms of conjunctive queries, and tractability of counting answers to conjunctive queries. …

Dimer-projection contact and the clock shift of a unitary Fermi gas
Kevin G. S. Xie, Colin J. Dale, Kiera Pond Grehan, Maggie Fen Wang, Tilman Enss, Paul S. Julienne, Zhenhua Yu, Joseph H. Thywissen
https://arxiv.org/abs/2506.13707

Dimer-projection contact and the clock shift of a unitary Fermi gas
The time evolution of the contact parameter provides key insights into correlation dynamics in ultracold gases. However, most contact measurements to date have focused on equilibrium systems or slow, global dynamics. Here, we demonstrate that projecting a unitary Fermi gas onto a low-lying dimer state enables rapid probing of the contact. Using $^{40}$K near a broad s-wave Feshbach resonance, we compare the strength of the dimer-projection feature to the strength of the high-frequency tail of r…

Do you see Michael Caine or do you see a mitten with a thumb sticking out?

Maximal subgroups of free projection- and idempotent-generated semigroups with applications to partition monoids
James East, Robert D. Gray, P. A. Azeef Muhammed, Nik Ruskuc
https://arxiv.org/abs/2507.06600

Maximal subgroups of free projection- and idempotent-generated semigroups with applications to partition monoids
This paper investigates the maximal subgroups of a free projection-generated regular $*$-semigroup $PG(P)$ over a projection algebra $P$, and their relationship to the maximal subgroups of the free idempotent-generated semigroup $IG(E)$ over the corresponding biordered set $E = E(P)$. In the first part of the paper we obtain a number of general presentations by generators and defining relations, in each case reflecting salient combinatorial/topological properties of the groups. In the second pa…

Overprinting with Tomographic Volumetric Additive Manufacturing
Felix Wechsler, Viola Sgarminato, Riccardo Rizzo, Baptiste Nicolet, Wenzel Jakob, Christophe Moser
https://arxiv.org/abs/2507.13842

Overprinting with Tomographic Volumetric Additive Manufacturing
Tomographic Volumetric Additive Manufacturing (TVAM) is a light-based 3D printing technique capable of producing centimeter-scale objects within seconds. A key challenge lies in the calculation of projection patterns under non-standard conditions, such as the presence of occlusions and materials with diverse optical properties, including varying refractive indices or scattering surfaces. This work focuses on demonstrating a wide variety of overprinting scenarios. First, utilizing a telecentric …

Finding a Maximal Determinant Principal Submatrix via Hadamard's Inequality and Conic Relaxations
Hao Hu, Stefan Sremac, Hugo J. Woerdeman, Henry Wolkowicz
https://arxiv.org/abs/2508.15608

Finding a Maximal Determinant Principal Submatrix via Hadamard's Inequality and Conic Relaxations
An important yet challenging problem in numerical linear algebra is finding a principal submatrix with the maximum determinant. In this paper, we examine several exact and approximate approaches to this problem. We first propose an upper bound based on Hadamard's inequality, along with a projection scheme based on the Gram-Schmidt process without normalization. This scheme yields a highly effective exact algorithm for solving small- to medium-scale instances. We then study a linear programming …

🇺🇦 Auf radioeins läuft...
A Projection:
🎵 Transition
#NowPlaying #AProjection
https://atransition.bandcamp.com/track/fear-is-a-projection-3
https://open.spotify.com/track/2eEe6VzkBOnvm7w9qTxtGq

Information Retention in Iterative Random Projection of Convex Bodies to Lower Dimensions
Nazanin Mirhosseini
https://arxiv.org/abs/2508.10218 https://arxi…

Information Retention in Iterative Random Projection of Convex Bodies to Lower Dimensions
In this paper, we consider a bounded convex body $K_0 \subset \mathbb{R}^{n}$ subjected to two successive random orthogonal projections onto $\mathbb{R}^{n-1}$ and $\mathbb{R}^{n-2}$, respectively. First, we project $K_0$ orthogonally onto $U_{1}^{\perp}$, the orthogonal complement of $\mbox{\boldmath $U$}_1$, where $\mbox{\boldmath $U$}_1$ is uniformly distributed on the unit sphere $S^{n-1}$. This yields a random convex body $K_1 = \mathrm{Proj}_{{U_1}^{\perp}}(K_0) \subset \mathbb{R}^{n-1}$.…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 84 nodes and 84 edges.
Tags: Social, Offline, Weighted, Projection

Cowboys' uncertainty on offense leads to mediocre win total projection https://www.si.com/nfl/cowboys/news/dallas-cowboys-uncertainty-offense-mediocre-win-total-projection

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
Yiting Yang, Hao Luo, Yuan Sun, Qingsen Yan, Haokui Zhang, Wei Dong, Guoqing Wang, Peng Wang, Yang Yang, Hengtao Shen
https://arxiv.org/abs/2507.13260

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
A prevalent approach in Parameter-Efficient Fine-Tuning (PEFT) of pre-trained Vision Transformers (ViT) involves freezing the majority of the backbone parameters and solely learning low-rank adaptation weight matrices to accommodate downstream tasks. These low-rank matrices are commonly derived through the multiplication structure of down-projection and up-projection matrices, exemplified by methods such as LoRA and Adapter. In this work, we observe an approximate orthogonality among any two ro…

Raiders’ 53-man roster projection: How defense stacks up after OTAs https://www.reviewjournal.com/sports/raiders/raiders-53-man-roster-projection-how-defense-stacks-up-after-otas-3386148/

Defending Colts starting Daniel Jones at QB: Projection model loves decision to bench Anthony Richardson

https://www.cbssports.com/nfl/news/defendi

from my link log —
Eidophor: 1950's space age video projection technology. (video)
https://youtu.be/3-BvMcqEc98?si=_OkQjEKADeva4QD5
saved 2024-10-08

Projection-based multifidelity linear regression for data-scarce applications
Vignesh Sella, Julie Pham, Karen Willcox, Anirban Chaudhuri
https://arxiv.org/abs/2508.08517 https:…

Projection-based multifidelity linear regression for data-scarce applications
Surrogate modeling for systems with high-dimensional quantities of interest remains challenging, particularly when training data are costly to acquire. This work develops multifidelity methods for multiple-input multiple-output linear regression targeting data-limited applications with high-dimensional outputs. Multifidelity methods integrate many inexpensive low-fidelity model evaluations with limited, costly high-fidelity evaluations. We introduce two projection-based multifidelity linear reg…

Which NFL teams have the best -- and worst -- rosters? Let's stack all 32 projected lineups https://www.espn.com/nfl/story/_/id/45711952/2025-nfl-roster-ranking-starting-lineups-projection-32-teams

The CN matrix of a pure braid projection
Yuko Ozawa, Ayaka Shimizu, Yoshiro Yaguchi
https://arxiv.org/abs/2506.08659 https://arxiv.or…

The CN matrix of a pure braid projection
The CN matrix of an $n$-braid projection $B$ is an $n \times n$ matrix such that each $(i,j)$ entry indicates the number of crossings between $i^{th}$ and $j^{th}$ strands of $B$. In this paper, patterns of an $n \times n$ matrix to be a CN matrix are discussed and the CN matrix of a pure 6-braid projection is characterized. As an application, the OU matrix of a pure 6-braid diagram and the crossing matrix of a positive pure 6-braid are also characterized.

The empirical discrete copula process
Gery Geenens, Ivan Kojadinovic, Tommaso Martini
https://arxiv.org/abs/2506.12316 https://arxiv.…

The empirical discrete copula process
This paper develops a general inferential framework for discrete copulas on finite supports in any dimension. The copula of a multivariate discrete distribution is defined as Csiszar's I-projection (i.e., the minimum-Kullback-Leibler divergence projection) of its joint probability array onto the polytope of uniform-margins probability arrays of the same size, and its empirical estimator is obtained by applying that same projection to the array of empirical frequencies observed on the sample. Un…

Raiders 53-man roster projection: Tom Brady gets an up-close look on Saturday https://www.nytimes.com/athletic/6557648/2025/08/16/raiders-53-man-roster-projection-after-second-preseason-game/

Joint Denoising of Cryo-EM Projection Images using Polar Transformers
Joakim And\'en, Justus Sagem\"uller
https://arxiv.org/abs/2506.11283 https:/…

Joint Denoising of Cryo-EM Projection Images using Polar Transformers
Deep neural networks~(DNNs) have proven powerful for denoising, but they are ultimately of limited use in high-noise settings, such as for cryogenic electron microscopy~(cryo-EM) projection images. In this setting, however, datasets contain a large number of projections of the same molecule, each taken from a different viewing direction. This redundancy of information is useful in traditional denoising techniques known as class averaging methods, where images are clustered, aligned, and then av…

NFL Projection Model, AFC win totals: Will the Chiefs still reign supreme? https://www.nytimes.com/athletic/6562753/2025/08/20/nfl-projection-model-afc-win-totals-2025/

Beyond the Projection Postulate and Back: Quantum Theories with Generalised State-Update Rules
Vincenzo Fiorentino, Stefan Weigert
https://arxiv.org/abs/2506.06207

Beyond the Projection Postulate and Back: Quantum Theories with Generalised State-Update Rules
Are there consistent and physically reasonable alternatives to the projection postulate? Does it have unique properties compared to acceptable alternatives? We answer these questions by systematically investigating hypothetical state-update rules for quantum systems that nature could have chosen over the Lüders rule. Among other basic properties, any prospective rule must define unique post-measurement states and not allow for superluminal signalling. Particular attention will be paid to consi…

Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines
Rishi Mishra, Smriti, Ganapathy Krishnamurthi, Balaji Srinivasan, Sundararajan Natarajan
https://arxiv.org/abs/2508.15343

Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines
In this work, a novel Eig-PIELM framework is proposed that extends physics-informed extreme learning machine for an efficient and accurate solution of linear eigenvalue problems. The method reformulates the governing differential equations into a compact algebraic system solvable in a single step. Boundary conditions are enforced exactly via an algebraic projection onto the boundary-admissible subspace, eliminating the computational overhead of penalty parameters, and backpropagation while pres…

Cowboys 53-man roster projection sees former 1st-round pick with fully guaranteed deal cut https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/20/cowboys-53-man-roster-sees-former-1st-ro…

Today's top games to watch, best bets, odds: College football season kicks off, Dodgers-Padres and more

https://www.cbssports.com/betting/news/tod

Raiders’ 53-man roster projection: How offense stacks up after OTAs https://www.reviewjournal.com/sports/raiders/raiders-53-man-roster-projection-how-offense-stacks-up-after-otas-3385734/

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Expansive Natural Neural Gradient Flows for Energy Minimization
Wolfgang Dahmen, Wuchen Li, Yuankai Teng, Zhu Wang
https://arxiv.org/abs/2507.13475 https:/…

Expansive Natural Neural Gradient Flows for Energy Minimization
This paper develops expansive gradient dynamics in deep neural network-induced mapping spaces. Specifically, we generate tools and concepts for minimizing a class of energy functionals in an abstract Hilbert space setting covering a wide scope of applications such as PDEs-based inverse problems and supervised learning. The approach hinges on a Hilbert space metric in the full diffeomorphism mapping space, which could be viewed as a generalized Wasserstein-2 metric. We then study a projection gr…

2 veteran cut candidates who would still play for Cowboys in 2025 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/18/cowboys-cutdown-day-projection-bring-back-veterans/84239624007/

An adaptive symplectic integrator for gravitational dynamics
Keqi Ye, Zizhe Cai, Mingji Wang, Kun Yang, Xiaodong Liu
https://arxiv.org/abs/2507.14881 https…

An adaptive symplectic integrator for gravitational dynamics
This paper presents an adaptive symplectic integrator, SQQ-PTQ, developed on the basis of the fixed-step symplectic integrator SQQ. To mitigate the Runge phenomenon, SQQ-PTQ employs Chebyshev interpolation for approximating the action, enhancing both the precision and stability of the interpolation. In addition, to reduce the computational cost of evaluating interpolation functions, SQQ-PTQ introduces a projection method that improves the efficiency of these computations. A key feature of SQQ-P…

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
Geonwoo Cho, Jaemoon Lee, Jaegyun Im, Subi Lee, Jihwan Lee, Sundong Kim
https://arxiv.org/abs/2506.05980

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
Skill-based reinforcement learning (SBRL) enables rapid adaptation in environments with sparse rewards by pretraining a skill-conditioned policy. Effective skill learning requires jointly maximizing both exploration and skill diversity. However, existing methods often face challenges in simultaneously optimizing for these two conflicting objectives. In this work, we propose a new method, Adaptive Multi-objective Projection for balancing Exploration and skill Diversification (AMPED), which expli…

Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
Daniel Kl\"otzl, Ozan Tastekin, David H\"agele, Marina Evers, Daniel Weiskopf
https://arxiv.org/abs/2508.13990

Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
Multidimensional data is often associated with uncertainties that are not well-described by normal distributions. In this work, we describe how such distributions can be projected to a low-dimensional space using uncertainty-aware principal component analysis (UAPCA). We propose to model multidimensional distributions using Gaussian mixture models (GMMs) and derive the projection from a general formulation that allows projecting arbitrary probability density functions. The low-dimensional proje…

dblp_coauthor_snap: DBLP authors (2012)
A coauthorship network extracted from the DBLP computer science manuscript database, in 2012. This network is a one-mode projection from the bipartite graph of computer scientists and their publications.
This network has 425957 nodes and 1049866 edges.
Tags: Social, Collaboration, Unweighted, Metadata, Projection

Cowboys 53-man roster projection: 5 running backs? A surprise at corner? https://www.nytimes.com/athletic/6546150/2025/08/11/cowboys-53-man-roster-projection-preseason-opener/

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Raiders’ 53-man roster projection: What changed after preseason opener? https://www.reviewjournal.com/sports/raiders/raiders-53-man-roster-projection-what-changed-after-preseason-opener-3415562/

Addendum on data driven regularization by projection
Martin Hanke, Otmar Scherzer
https://arxiv.org/abs/2508.07709 https://arxiv.org/pdf/2508.07709

Addendum on data driven regularization by projection
We study the stability of regularization by projection for solving linear inverse problems if the forward operator is given indirectly but specified via some input-output training pairs. We extend the approach in "Data driven regularization by projection" (Aspri, Korolev, and Scherzer; Inverse Problems; 36 (2020), 125009) to data pairs, which are noisy and, possibly, linearly dependent.

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
William de Vazelhes, Xiao-Tong Yuan, Bin Gu
https://arxiv.org/abs/2506.08558

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
In sparse optimization, enforcing hard constraints using the $\ell_0$ pseudo-norm offers advantages like controlled sparsity compared to convex relaxations. However, many real-world applications demand not only sparsity constraints but also some extra constraints. While prior algorithms have been developed to address this complex scenario with mixed combinatorial and convex constraints, they typically require the closed form projection onto the mixed constraints which might not exist, and/or on…

Philadelphia Eagles: Can the defending Super Bowl champs do it again? https://www.espn.com/nfl/story/_/id/45754583/philadelphia-eagles-2025-training-camp-preview-jalen-hurts-saquon-barkley

Las Vegas Raiders predicted to have shocking 53-man roster upsets at running back https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/las-vegas-raiders-predicted-53-man-roster-upsets-running-ba…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

NFL's top 10 offenses in 2025? Bills, Bucs, Ravens headline my projection; Broncos coming in HOT https://www.nfl.com/news/nfl-s-top-10-offenses-in-2025-bills-bucs-ravens-headline-my-projection-broncos-coming-in-ho…

Raiders 53-man roster projection: Jamal Adams is making things interesting https://www.nytimes.com/athletic/6541861/2025/08/08/las-vegas-raiders-53-man-roster-projection/

dblp_coauthor_snap: DBLP authors (2012)
A coauthorship network extracted from the DBLP computer science manuscript database, in 2012. This network is a one-mode projection from the bipartite graph of computer scientists and their publications.
This network has 425957 nodes and 1049866 edges.
Tags: Social, Collaboration, Unweighted, Metadata, Projection

Essential 2025 fantasy football player projections for every position https://www.nytimes.com/athletic/6565039/2025/08/21/fantasy-football-2025-player-projections-by-position/

Cowboys 53-man roster prediction after preseason opener: Last 4 in, First 4 out https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/11/53-man-roster-projection-after-cowboys-preseason-op…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 72 nodes and 1089 edges.
Tags: Social, Offline, Weighted, Projection

Projecting Cowboys 53-man roster: Defensive line in flux awaiting Micah Parsons' return, veteran TE shown door

https://www.cbssports.com/nfl/news/pro…

Today's top games to watch, best bets, odds: Yankees-Red Sox, Patriots-Giants, WNBA and more

https://www.cbssports.com/betting/news/tod…

baseball: Baseball steroid use (2008)
Two networks representing steroid use among baseball players. First, a bipartite network of players and their steroid providers (of illegal performance-enhancing substances). Second, a one-mode projection of players, which are linked if they have a common supplier.
This network has 84 nodes and 84 edges.
Tags: Social, Offline, Weighted, Projection

Cowboys 53-man roster projection: One spot left open for player not on current roster https://www.nytimes.com/athletic/6451352/2025/06/26/cowboys-53-man-roster-projection-predictions/

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

Today's best bets for Wednesday, August 20: MLB, PGA, college football, NFL picks, predictions

https://www.cbssports.com/betting/news/tod

dblp_coauthor_snap: DBLP authors (2012)
A coauthorship network extracted from the DBLP computer science manuscript database, in 2012. This network is a one-mode projection from the bipartite graph of computer scientists and their publications.
This network has 425957 nodes and 1049866 edges.
Tags: Social, Collaboration, Unweighted, Metadata, Projection

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Today's top games to watch, best bets, odds: Bengals at Commanders, Astros at Tigers, and more

https://www.cbssports.com/betting/news/tod