Tootfinder

'Without merit': Imprisoned Peter Navarro loses bid not to turn over presidential records - Raw Story
https://www.rawstory.com/peter-navarro-presidential-records/

'Without merit': Imprisoned Peter Navarro loses bid not to turn over presidential records
While serving four months in prison, former White House trade adviser Peter Navarro will not be able to sue the federal government in an effort not to turn over potential presidential records.In an order issued Monday, a federal court of appeals affirmed a district court's order about whether the go...

This https://arxiv.org/abs/2403.00748 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Primal-Dual iLQR
We introduce a new algorithm for solving unconstrained discrete-time optimal control problems. Our method follows a direct multiple shooting approach, and consists of applying the SQP method together with an $\ell_2$ augmented Lagrangian primal-dual merit function. We use the LQR algorithm to efficiently solve the primal-dual SQP problem. As our algorithm is a specialization of NPSQP (Gill et al. 1992), it inherits its generic properties, including global convergence, fast local convergence, an…

Does anyone know what is the technical merit behind banking websites fucking dying when you press the back button in your browser?

This https://arxiv.org/abs/2401.08997 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Five families of rapidly convergent evaluations of zeta values
This work derives 5 methods to evaluate families of odd zeta values by combining a power of $π$ with Lambert series whose ratios of successive terms tend to $e^{-π\sqrt{a}}$ with integers $a\ge7$, outperforming Ramanujan's results with merit $a=4$. Families with $a=7$ and $a=8$ evaluate $ζ(2n+1)$. Families with $a=9$ and $a=16$ evaluate $ζ(4n+1)$ with faster convergence. A fifth family with $a=12$ evaluates $ζ(6n+1)$ and gives the fastest convergence for $ζ(6n+7)$. Members of three of the…

Updated my "I was right about Crypto" merit badges for 2024
Free to use.
Support me: #Crypto

Didier J. MARY is mainly writing useful content or fun stuff on his blogs.
Do you enjoy the content on my blogs? You should buy me a coffee, then...Thx!

Future of Pandemic Prevention and Response CCC Workshop Report
David Danks, Rada Mihalcea, Katie Siek, Mona Singh, Brian Dixon, Haley Griffin
https://arxiv.org/abs/2403.00096

Future of Pandemic Prevention and Response CCC Workshop Report
This report summarizes the discussions and conclusions of a 2-day multidisciplinary workshop that brought together researchers and practitioners in healthcare, computer science, and social sciences to explore what lessons were learned and what actions, primarily in research, could be taken. One consistent observation was that there is significant merit in thinking not only about pandemic situations, but also about peacetime advances, as many healthcare networks and communities are now in a perp…

Does anyone know what is the technical merit behind banking websites fucking dying when you press the back button in your browser?

This https://arxiv.org/abs/2310.18556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
Design-based causal inference, also known as randomization-based or finite-population causal inference, is one of the most widely used causal inference frameworks, largely due to the merit that its statistical validity can be guaranteed by the study design (e.g., randomized experiments) and does not require assuming specific outcome-generating distributions or super-population models. Despite its advantages, design-based causal inference can still suffer from other data-related issues, among wh…

Wenzhou TE: a first-principles calculated thermoelectric materials database
Ying Fang, Hezhu Shao
https://arxiv.org/abs/2404.02571 https://

Wenzhou TE: a first-principles calculated thermoelectric materials database
Since the implementation of the Materials Genome Project by the Obama administration in the United States, the development of various computational materials databases has fundamentally expanded the choices of industries such as materials and energy. In the field of thermoelectric materials, the thermoelectric figure of merit ZT quantifies the performance of the material. From the viewpoint of calculations for vast materials, the ZT values are not easily obtained due to their computational comp…

ICFP reviews done.

This https://arxiv.org/abs/2401.08997 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Five families of rapidly convergent evaluations of zeta values
This work derives 5 methods to evaluate families of odd zeta values by combining a power of $π$ with Lambert series whose ratios of successive terms tend to $e^{-π\sqrt{a}}$ with integers $a\ge7$, outperforming Ramanujan's results with merit $a=4$. Families with $a=7$ and $a=8$ evaluate $ζ(2n+1)$. Families with $a=9$ and $a=16$ evaluate $ζ(4n+1)$ with faster convergence. A fifth family with $a=12$ evaluates $ζ(6n+1)$ and gives the fastest convergence for $ζ(6n+7)$. Members of three of the…

Google or ChatGPT: Who is the Better Helper for University Students
Mengmeng Zhang, Xiantong Yang
https://arxiv.org/abs/2405.00341 https://

Google or ChatGPT: Who is the Better Helper for University Students
Using information technology tools for academic help-seeking among college students has become a popular trend. In the evolutionary process between Generation Artificial Intelligence (GenAI) and traditional search engines, when students face academic challenges, do they tend to prefer Google, or are they more inclined to utilize ChatGPT? And what are the key factors influencing learners' preference to use ChatGPT for academic help-seeking? These relevant questions merit attention. The study emp…

FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Matteo Gambella, Fabrizio Pittorino, Manuel Roveri
https://arxiv.org/abs/2402.19102 <…

FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Neural Architecture Search (NAS) paves the way for the automatic definition of Neural Network (NN) architectures, attracting increasing research attention and offering solutions in various scenarios. This study introduces a novel NAS solution, called Flat Neural Architecture Search (FlatNAS), which explores the interplay between a novel figure of merit based on robustness to weight perturbations and single NN optimization with Sharpness-Aware Minimization (SAM). FlatNAS is the first work in the…

2024 NFL Draft: Why Falcons can actually be applauded for Michael Penix Jr. pick, even after Kirk Cousins deal

https://www.cbssports.com/nfl/n…

2024 NFL Draft: Why Falcons can actually be applauded for Michael Penix Jr. pick, even after Kirk Cousins deal
Atlanta is taking a risk, but it is not without merit

Primal-Dual iLQR
Jo\~ao Sousa-Pinto, Dominique Orban
https://arxiv.org/abs/2403.00748 https://arxiv.org/pdf/2403.00748

Primal-Dual iLQR
We introduce a new algorithm for solving unconstrained discrete-time optimal control problems. Our method follows a direct multiple shooting approach, and consists of applying the SQP method together with an $\ell_2$ augmented Lagrangian primal-dual merit function. We use the LQR algorithm to efficiently solve the primal-dual SQP problem. As our algorithm is a specialization of NPSQP (Gill et al. 1992), it inherits its generic properties, including global convergence, fast local convergence, an…

I've been reading "On Green” (https://joecarlsmith.com/2024/03/21/on-green) and its following article, “On Attunement” with some interest today. I am uninterested in the ways he is focused on “AGI”, but that might actually be part of what he's saying and missing.
They talk about the philosophy of green in the "magic the gathering" sense, which has five core modes of things, and being a game, designed to balance. It's an attractive system and not without merit as a philosophical labeling system. In short: white, moral; blue, knowledge and rationality; red, passion and desire; black, power and achievement. And green. Green is the subject they can't identify clearly.
I don't think they really understand green. (They come from a very rationalist place, and that's not a good mode to understand Green)
Green is the domain of systems thinking and of ecology. It's one of flexible boundaries and hierarchies that vanish when you look at them for long. They talk about philosophical agents and try to fit a green philosophical stance into that framework, but it misses: the very idea of a self is nebulous in a green philosophy. Yes, it obviously exists, we are all separate from each other. But also we are inseparable from each other. Green is a philosophy of relationality and multiple perspectives and ever shifting viewpoints. It's not just yin, passive, permissive, but holistic. It's not that it lets the Other in, it's that it actively is in relation with the Other. The other is the self, the self is the other.
The essays also label green as conservative, and this is not quite true. It is not about being slow or regressive or traditional, but about being whole. They can't quite see that green's willingness to accept death and pain as things that happen and also its strong preservationist stance are not opposed to each other. It seems incoherent, but it's not: death and pain are things that happen to living parts of an ecosystem. They matter, but so too does the whole matter. Where so many blue rationalists see statistical and demographic counts of deaths and "sentient beings harmed”, green sees a whole ecosystem where some of that is deeply natural. It's unnatural, ecosystem-harming deaths that are disasters in the green philosophy. Wholesale extinctions. Protracted, painful deaths, as much for the wound they cause outside the individual as the individual suffering as well. But we all come to an end, and to change that wholesale would end so many kinds of relationship, so many things.
Green revels in the illegible, the incomplete, and the connected. It's easy to be green-blind, to ignore the subtle systemic effects. So many of us want simple cause and effect, rather than action and plurality of reactions.
Green's ability to embrace the illegible lets it deal with Red chaos; its resilience tempers red passion. It can ally with White philosophies into a pastoral, conservative, moralistic framework. It ends up at odds with the rationalist Blue and the power-hungry Black, because they drive disequilibrium, but more than just transition to new stable ecologies, they drive systems permanently out of stability, destroying relationships in their path. When confronted with this, they will deny it because the objects are still there. Preserved. Catalogued. Legible and accounted for. Perhaps used instrumentally. Perhaps wrecked for some "greater purpose” but only acknowledged as objects. The relationships between things remain illegible.

No, generative AI will not give you personalized movies from a book. Not in 5 years, not in ever.
Just please listen to the fucking grift generative AI stans are trying to make you believe. Not a single word they’re saying has any merit whatsoever.
Generative AI is complete and utter shit. More computing resources will just generate more shit faster.
I don’t understand how these people aren’t laughed off the Internet, it’s such a transparent bullshit hype.

The rationals being put forth by Alito and Kav on SCOTUS strike me as "coddling" of a President on some vague presumption that lack of such coddling would affect how a President exercises its powers.
That is a silly argument - normally it would be answered if you are afraid of the consequences of doing X than do not do X.
However, to the extent that it has a minute molecule of merit, that argument suggests that everyone in the chain of Presidential succession also dese…

Sources: the EU has decided that Microsoft's OpenAI deal doesn't merit a formal probe because it falls short of a takeover and Microsoft doesn't control OpenAI (Samuel Stolton/Bloomberg)
https://www.bloomberg.com/news/articles/20<…

Microsoft’s $13 Billion OpenAI Deal to Avoid Formal EU Probe
Microsoft Corp.’s $13 billion investment into OpenAI Inc. is set to avoid a formal investigation by European Union merger watchdogs, calming fears that the relationship could be forced apart.

Quasi-superfluid and Quasi-Mott phases of strongly interacting bosons in shallow optical lattice
Subhrajyoti Roy, Rhombik Roy, Arnaldo Gammal, Barnali Chakrabarti, Budhaditya Chatterjee
https://arxiv.org/abs/2403.00124

Quasi-superfluid and Quasi-Mott phases of strongly interacting bosons in shallow optical lattice
We explore the ground states of strongly interacting bosons in the vanishingly small and weak lattices using the multiconfiguration time-dependent Hartree method for bosons (MCTDHB) which calculate numerically exact many-body wave function. Two new many-body phases: fragmented or quasi superfluid (QSF) and incomplete fragmented Mott or quasi Mott insulator (QMI) are emerged due to the strong interplay between interaction and lattice depth. Fragmentation is utilized as a figure of merit to disti…

Wenzhou TE: a first-principles calculated thermoelectric materials database
Ying Fang, Hezhu Shao
https://arxiv.org/abs/2404.02571 https://

Wenzhou TE: a first-principles calculated thermoelectric materials database
Since the implementation of the Materials Genome Project by the Obama administration in the United States, the development of various computational materials databases has fundamentally expanded the choices of industries such as materials and energy. In the field of thermoelectric materials, the thermoelectric figure of merit ZT quantifies the performance of the material. From the viewpoint of calculations for vast materials, the ZT values are not easily obtained due to their computational comp…

I’m getting quite tired of people insisting that “both sides” always merit a hearing.
We are at the point where the wrong side is basically arguing for reviving the cutting edge ideas of the Late Bronze Age.

WISDOM Project -- XIX. Figures of merit for supermassive black hole mass measurements using molecular gas and/or megamaser kinematics
Hengyue Zhang, Martin Bureau, Mark D. Smith, Michele Cappellari, Timothy A. Davis, Pandora Dominiak, Jacob S. Elford, Fu-Heng Liang, Ilaria Ruffa, Thomas G. Williams
https://arxiv.org/abs/2404.163…

WISDOM Project -- XIX. Figures of merit for supermassive black hole mass measurements using molecular gas and/or megamaser kinematics
The mass ($M_\mathrm{BH}$) of a supermassive black hole (SMBH) can be measured using spatially-resolved kinematics of the region where the SMBH dominates gravitationally. The most reliable measurements are those that resolve the smallest physical scales around the SMBHs. We consider here three metrics to compare the physical scales probed by kinematic tracers dominated by rotation: the radius of the innermost detected kinematic tracer $R_\mathrm{min}$ normalised by respectively the SMBH's Schwa…

Deeper Learning in Astronomy
Douglas Scott, Ali Frolop
https://arxiv.org/abs/2403.19937 https://arxiv.org/pdf/2403.19937

Deeper Learning in Astronomy
It is well known that the best way to understand astronomical data is through machine learning, where a "black box" is set up, inside which a kind of artificial intelligence learns how to interpret the features in the data. We suggest that perhaps there may be some merit to a new approach in which humans are used instead of machines to understand the data. This may even apply to fields other than astronomy.

Uspol
I find it hard to understand how people who voted twice for Obama feel that Biden is not left enough* to merit a second term. (*You may have other arguments against voting for him.)

This https://arxiv.org/abs/2210.15962 has been replaced.
link: https://scholar.google.com/scholar?q=a

Parallel Self-Avoiding Walks for a Low-Autocorrelation Binary Sequences Problem
A low-autocorrelation binary sequences problem with a high figure of merit factor represents a formidable computational challenge. An efficient parallel computing algorithm is required to reach the new best-known solutions for this problem. Therefore, we developed the $\mathit{sokol}_{\mathit{skew}}$ solver for the skew-symmetric search space. The developed solver takes the advantage of parallel computing on graphics processing units. The solver organized the search process as a sequence of par…

This https://arxiv.org/abs/2307.14281 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Moments of Autocorrelation Demerit Factors of Binary Sequences
Sequences with low aperiodic autocorrelation are used in communications and remote sensing for synchronization and ranging. The autocorrelation demerit factor of a sequence is the sum of the squared magnitudes of its autocorrelation values at every nonzero shift when we normalize the sequence to have unit Euclidean length. The merit factor, introduced by Golay, is the reciprocal of the demerit factor. We consider the uniform probability measure on the $2^\ell$ binary sequences of length $\ell$ …

Exploratory Landscape Analysis for Mixed-Variable Problems
Raphael Patrick Prager, Heike Trautmann
https://arxiv.org/abs/2402.16467 https://arxiv.org/pdf/2402.16467
arXiv:2402.16467v1 Announce Type: new
Abstract: Exploratory landscape analysis and fitness landscape analysis in general have been pivotal in facilitating problem understanding, algorithm design and endeavors such as automated algorithm selection and configuration. These techniques have largely been limited to search spaces of a single domain. In this work, we provide the means to compute exploratory landscape features for mixed-variable problems where the decision space is a mixture of continuous, binary, integer, and categorical variables. This is achieved by utilizing existing encoding techniques originating from machine learning. We provide a comprehensive juxtaposition of the results based on these different techniques. To further highlight their merit for practical applications, we design and conduct an automated algorithm selection study based on a hyperparameter optimization benchmark suite. We derive a meaningful compartmentalization of these benchmark problems by clustering based on the used landscape features. The identified clusters mimic the behavior the used algorithms exhibit. Meaning, the different clusters have different best performing algorithms. Finally, our trained algorithm selector is able to close the gap between the single best and the virtual best solver by 57.5% over all benchmark problems.

«Sound of Freedom». A film about the trafficking and sexual enslavement of children. Based on a true story -the problem is that we usually don't know which parts are the actual true of the story- which tends to make ir more shocking. But there's no much than that. An average movie.
The merit is to make visible a topic that is not so often mentioned in mass media.
★★½ on #Letterboxd…

GOP threats to keep Biden off the ballot in November have no historical precedent this century
Secretaries of state in Alabama (Wes Allen-R) and Ohio (Frank LaRose-R) are threatening to keep President Joe Biden off the November ballot because the Democratic National Convention is scheduled after ballot deadlines.
News organizations are treating these proclamations as though they have merit. As though there’s never before been a conflict between ballot deadlines and convention dat…

This https://arxiv.org/abs/2402.16732 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

C-Band Lithium Niobate on Silicon Carbide SAW Resonator with Figure-of-Merit of 124 at 6.5 GHz
In this work, we demonstrate a C-band shear-horizontal surface acoustic wave (SH-SAW) resonator with high electromechanical coupling (keff2) of 22% and a quality factor (Q) of 565 based on a thin-film lithium niobate (LN) on silicon carbide (SiC) platform, featuring an excellent figure-of-merit (FoM = keff2*Q ) of 124 at 6.5 GHz, the highest FoM reported in this frequency range. The resonator frequency upscaling is achieved through wavelength ($λ$) reduction and the use of thin aluminum (Al) e…

The rationals being put forth by Alito and Kav on SCOTUS strike me as "coddling" of a President on some vague presumption that lack of such coddling would affect how a President exercises its powers.
That is a silly argument - normally it would be answered if you are afraid of the consequences of doing X than do not do X.
However, to the extent that it has a minute molecule of merit, that argument suggests that everyone in the chain of Presidential succession also dese…

Globally Convergent Distributed Sequential Quadratic Programming with Overlapping Decomposition and Exact Augmented Lagrangian Merit Function
Runxin Ni, Sen Na, Sungho Shin, Mihai Anitescu
https://arxiv.org/abs/2402.17170

Globally Convergent Distributed Sequential Quadratic Programming with Overlapping Decomposition and Exact Augmented Lagrangian Merit Function
In this paper, we address the problem of solving large-scale graph-structured nonlinear programs (gsNLPs) in a scalable manner. GsNLPs are problems in which the objective and constraint functions are associated with a graph node, and they depend only on the variables of adjacent nodes. This graph-structured formulation encompasses various specific instances, such as dynamic optimization, PDE-constrained optimization, multi-stage stochastic optimization, and optimization over networks. We propos…

This https://arxiv.org/abs/1911.11246 has been replaced.
link: https://scholar.google.com/scholar?q=a

The mean and variance of the reciprocal merit factor of four classes of binary sequences
The merit factor of a $\{-1, 1\}$ binary sequence measures the collective smallness of its non-trivial aperiodic autocorrelations. Binary sequences with large merit factor are important in digital communications because they allow the efficient separation of signals from noise. It is a longstanding open question whether the maximum merit factor is asymptotically unbounded and, if so, what is its limiting value. Attempts to answer this question over almost sixty years have identified certain cla…

The Feasibility of Implementing Large-Scale Transformers on Multi-FPGA Platforms
Yu Gao, Juan Camilo Vega, Paul Chow
https://arxiv.org/abs/2404.16158 https…

The Feasibility of Implementing Large-Scale Transformers on Multi-FPGA Platforms
FPGAs are rarely mentioned when discussing the implementation of large machine learning applications, such as Large Language Models (LLMs), in the data center. There has been much evidence showing that single FPGAs can be competitive with GPUs in performance for some computations, especially for low latency, and often much more efficient when power is considered. This suggests that there is merit to exploring the use of multiple FPGAs for large machine learning applications. The challenge with …

Recently, there has been a spate of interviews of individuals who are either mentally ill or, just as likely, poseurs as if their thoughts are somehow interesting or useful. This is a sickness in itself and utterly without merit. Cease.

Constrained Bayesian optimization with merit functions
J. Wang, C. G. Petra, J. L. Peterson
https://arxiv.org/abs/2403.13140 https://…

Constrained Bayesian optimization with merit functions
Bayesian optimization is a powerful optimization tool for problems where native first-order derivatives are unavailable. Recently, constrained Bayesian optimization (CBO) has been applied to many engineering applications where constraints are essential. However, several obstacles remain with current CBO algorithms that could prevent a wider adoption. We propose CBO algorithms using merit functions, such as the penalty merit function, in acquisition functions, inspired by nonlinear optimization …

Integrating Dark Pattern Taxonomies
Frank Lewis, Julita Vassileva
https://arxiv.org/abs/2402.16760 https://arxiv.org/pdf/2402.16760…

Integrating Dark Pattern Taxonomies
The problem of ``Dark Patterns" in user interface/user experience (UI/UX) design has proven a difficult issue to tackle. Malicious and explotitative design has expanded to multiple domains in the past 10 years and which has in turn led to multiple taxonomies attempting to describe them. While these taxonomies holds their own merit, and constitute unique contributions to the literature, their usefulness as separate entities is limited. We believe that in order to make meaningful progress in regu…

Scientific Impact of novel Instrumentation: the Case of MUSE
Martin M. Roth
https://arxiv.org/abs/2402.13540 https://arxiv.org/pdf/24…

Scientific Impact of novel Instrumentation: the Case of MUSE
In the process of transforming science cases into a viable and affordable design for a novel instrument, there is the problem of how to gauge their scientific impact, especially when they end up in competing top level requirements that can be incompatible with each other. This research note presents a case study for scientific impact of the integral field spectrograph MUSE in terms of number of refereed publications from 2014 to 2024 as a figure of merit, broken down by different research areas…

«Sound of Freedom». A film about the trafficking and sexual enslavement of children. Based on a true story -the problem is that we usually don't know which parts are the actual true of the story- which tends to make ir more shocking. But there's no much than that. An average movie.
The merit is to make visible a topic that is not so often mentioned in mass media.
★★½ on #Letterboxd…

This https://arxiv.org/abs/2309.07267 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Generation of photoionized plasmas in the laboratory of relevance to accretion-powered x-ray sources using keV line radiation
We describe laboratory experiments to generate X-ray photoionized plasmas of relevance to accretion-powered X-ray sources such as neutron star binaries and quasars, with significant improvements over previous work. A key quantity is referenced, namely the photoionization parameter. This is normally meaningful in an astrophysical steady-state context, but is also commonly used in the literature as a figure of merit for laboratory experiments that are, of necessity, time-dependent. We demonstrate…

MPS: A New Method for Selecting the Stable Closed-Loop Equilibrium Attitude-Error Quaternion of a UAV During Flight
Francisco M. F. R. Gon\c{c}alves, Ryan M. Bena, Konstantin I. Matveev, N\'estor O. P\'erez-Arancibia
https://arxiv.org/abs/2403.07269

MPS: A New Method for Selecting the Stable Closed-Loop Equilibrium Attitude-Error Quaternion of a UAV During Flight
We present model predictive selection (MPS), a new method for selecting the stable closed-loop (CL) equilibrium attitude-error quaternion (AEQ) of an uncrewed aerial vehicle (UAV) during the execution of high-speed yaw maneuvers. In this approach, we minimize the cost of yawing measured with a performance figure of merit (PFM) that takes into account both the aerodynamic-torque control input and attitude-error state of the UAV. Specifically, this method uses a control law with a term whose sign…

House Republicans fail to #impeach DHS Secretary Alejandro #Mayorkas | The Independent

House Republicans fail to impeach DHS Secretary Alejandro Mayorkas
White House pans Republican-led impeachment effort against Mayorkas as unserious and without legal or constitutional merit

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
Halima Bouzidi, Smail Niar, Hamza Ouarnoughi, El-Ghazali Talbi
https://arxiv.org/abs/2402.13204 https://arxiv.org/pdf/2402.13204
arXiv:2402.13204v1 Announce Type: new
Abstract: Recent advancements in Artificial Intelligence (AI), driven by Neural Networks (NN), demand innovative neural architecture designs, particularly within the constrained environments of Internet of Things (IoT) systems, to balance performance and efficiency. HW-aware Neural Architecture Search (HW-aware NAS) emerges as an attractive strategy to automate the design of NN using multi-objective optimization approaches, such as evolutionary algorithms. However, the intricate relationship between NN design parameters and HW-aware NAS optimization objectives remains an underexplored research area, overlooking opportunities to effectively leverage this knowledge to guide the search process accordingly. Furthermore, the large amount of evaluation data produced during the search holds untapped potential for refining the optimization strategy and improving the approximation of the Pareto front. Addressing these issues, we propose SONATA, a self-adaptive evolutionary algorithm for HW-aware NAS. Our method leverages adaptive evolutionary operators guided by the learned importance of NN design parameters. Specifically, through tree-based surrogate models and a Reinforcement Learning agent, we aspire to gather knowledge on 'How' and 'When' to evolve NN architectures. Comprehensive evaluations across various NAS search spaces and hardware devices on the ImageNet-1k dataset have shown the merit of SONATA with up to 0.25% improvement in accuracy and up to 2.42x gains in latency and energy. Our SONATA has seen up to sim$93.6% Pareto dominance over the native NSGA-II, further stipulating the importance of self-adaptive evolution operators in HW-aware NAS.

House Republicans fail to #impeach DHS Secretary Alejandro #Mayorkas | The Independent

House Republicans fail to impeach DHS Secretary Alejandro Mayorkas
White House pans Republican-led impeachment effort against Mayorkas as unserious and without legal or constitutional merit

This https://arxiv.org/abs/2402.09771 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Detailed analysis of the direct piezo-response of AlN nanowire-based vertically integrated nanogenerators
In this work, detailed analysis of the direct piezo-response of AlN nanowire-based vertically integrated nanogenerators (VINGs) is undertaken as a function of mechanical excitation frequency. We demonstrate that the piezo-charge, piezo-voltage, and impedance of the devices can be directly correlated using an equivalent circuit model. The performance figure of merit (FoM) of nanowire-based VINGs, namely the piezoelectric voltage constant (g) for sensing, and the product gxd for energy harvesting…

Valley edge states as bound states in the continuum
Shunda Yin, Liping Ye, Hailong He, Xueqin Huang, Manzhu Ke, Weiyin Deng, Jiuyang Lu, Zhengyou Liu
https://arxiv.org/abs/2404.05412

Valley edge states as bound states in the continuum
Bound states in the continuum (BICs) are spatially localized states with energy embedded in the continuum spectrum of extended states. The combination of BICs physics and nontrivial band topology theory giving rise to topological BICs, which are robust against disorders and meanwhile of the merit of conventional BICs, is attracting wide attention recently. Here, we report valley edge states as topological BICs, which appear at domain wall between two distinct valley topological phases. The robu…

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
Halima Bouzidi, Smail Niar, Hamza Ouarnoughi, El-Ghazali Talbi
https://arxiv.org/abs/2402.13204 https://arxiv.org/pdf/2402.13204
arXiv:2402.13204v1 Announce Type: new
Abstract: Recent advancements in Artificial Intelligence (AI), driven by Neural Networks (NN), demand innovative neural architecture designs, particularly within the constrained environments of Internet of Things (IoT) systems, to balance performance and efficiency. HW-aware Neural Architecture Search (HW-aware NAS) emerges as an attractive strategy to automate the design of NN using multi-objective optimization approaches, such as evolutionary algorithms. However, the intricate relationship between NN design parameters and HW-aware NAS optimization objectives remains an underexplored research area, overlooking opportunities to effectively leverage this knowledge to guide the search process accordingly. Furthermore, the large amount of evaluation data produced during the search holds untapped potential for refining the optimization strategy and improving the approximation of the Pareto front. Addressing these issues, we propose SONATA, a self-adaptive evolutionary algorithm for HW-aware NAS. Our method leverages adaptive evolutionary operators guided by the learned importance of NN design parameters. Specifically, through tree-based surrogate models and a Reinforcement Learning agent, we aspire to gather knowledge on 'How' and 'When' to evolve NN architectures. Comprehensive evaluations across various NAS search spaces and hardware devices on the ImageNet-1k dataset have shown the merit of SONATA with up to 0.25% improvement in accuracy and up to 2.42x gains in latency and energy. Our SONATA has seen up to sim$93.6% Pareto dominance over the native NSGA-II, further stipulating the importance of self-adaptive evolution operators in HW-aware NAS.

This https://arxiv.org/abs/2310.18556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
Design-based causal inference, also known as randomization-based or finite-population causal inference, is one of the most widely used causal inference frameworks, largely due to the merit that its statistical validity can be guaranteed by the study design (e.g., randomized experiments) and does not require assuming specific outcome-generating distributions or super-population models. Despite its advantages, design-based causal inference can still suffer from other data-related issues, among wh…

This https://arxiv.org/abs/2401.08997 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Five families of rapidly convergent evaluations of zeta values
This work derives 5 methods to evaluate families of odd zeta values by combining a power of $π$ with Lambert series whose ratios of successive terms tend to $e^{-π\sqrt{a}}$ with integers $a\ge7$, outperforming Ramanujan's results with merit $a=4$. Families with $a=7$ and $a=8$ evaluate $ζ(2n+1)$. Families with $a=9$ and $a=16$ evaluate $ζ(4n+1)$ with faster convergence. A fifth family with $a=12$ evaluates $ζ(6n+1)$ and gives the fastest convergence for $ζ(6n+7)$. Members of three of the…

Radiant fluence from ray tracing in optical multipass systems
Miros{\l}aw Marsza{\l}ekInstitute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland, Laboratory for Particle Physics, Paul Scherrer Institute, Villigen PSI, Switzerland, Lukas AffolterInstitute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland, Oguzhan KaraInstitute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland, Laboratory for Particle Physics, Paul Scherrer …

Radiant fluence from ray tracing in optical multipass systems
In applications of optical multipass cells in photochemical reactors and laser excitation of weak transitions, estimation of the radiation dose in a volume of interest allows to assess the performance and optimize the design of the cell. We adopt radiant fluence as the figure of merit and employ the radiative transfer equation to derive analytical expressions for average radiant fluence in a given volume of interest. These are used to establish practical approximations and a Monte Carlo ray tra…

Radiant fluence from ray tracing in optical multipass systems
Miros{\l}aw Marsza{\l}ekInstitute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland, Laboratory for Particle Physics, Paul Scherrer Institute, Villigen PSI, Switzerland, Lukas AffolterInstitute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland, Oguzhan KaraInstitute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland, Laboratory for Particle Physics, Paul Scherrer …

Radiant fluence from ray tracing in optical multipass systems
In applications of optical multipass cells in photochemical reactors and laser excitation of weak transitions, estimation of the radiation dose in a volume of interest allows to assess the performance and optimize the design of the cell. We adopt radiant fluence as the figure of merit and employ the radiative transfer equation to derive analytical expressions for average radiant fluence in a given volume of interest. These are used to establish practical approximations and a Monte Carlo ray tra…

This https://arxiv.org/abs/2403.00748 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Primal-Dual iLQR
We introduce a new algorithm for solving unconstrained discrete-time optimal control problems. Our method follows a direct multiple shooting approach, and consists of applying the SQP method together with an $\ell_2$ augmented Lagrangian primal-dual merit function. We use the LQR algorithm to efficiently solve the primal-dual SQP problem. As our algorithm is a specialization of NPSQP (Gill et al. 1992), it inherits its generic properties, including global convergence, fast local convergence, an…

This https://arxiv.org/abs/2403.00748 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Primal-Dual iLQR
We introduce a new algorithm for solving unconstrained discrete-time optimal control problems. Our method follows a direct multiple shooting approach, and consists of applying the SQP method together with an $\ell_2$ augmented Lagrangian primal-dual merit function. We use the LQR algorithm to efficiently solve the primal-dual Newton-KKT system. As our algorithm is a specialization of NPSQP, it inherits its generic properties, including global convergence, fast local convergence, and the lack of…

Highly reflective and high-$Q$ thin resonant subwavelength gratings
Gurpreet Singh, Trishala Mitra, S{\o}ren P. Madsen, Aur\'elien Dantan
https://arxiv.org/abs/2404.06143

Highly reflective and high-$Q$ thin resonant subwavelength gratings
We theoretically investigate the design of thin subwavelength gratings possessing high-reflectivity and high-$Q$ resonances when illuminated at normal incidence by a Gaussian beam. We compare the performances of single-period and dual-period rectangular gratings using Finite Element Method-based optimization and predict one to two orders of magnitude improvement in their transmission loss-linewidth product, which is the relevant figure of merit for e.g. resonant mirror-based microcavity applica…

This https://arxiv.org/abs/2311.13499 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Optimal optomechanical cavity setups with highly reflecting membranes
Highly reflecting mechanically compliant membranes based on photonic-crystal patterns have recently gained increasing attention within cavity optomechanics due to their prospects of reaching high coupling rates in membrane-in-the-middle experiments. Here we present an analysis and comparison of four different setups in which highly reflecting membranes can be employed for cavity optomechanics, and discuss optimal choices w.r.t. the figures of merit cooperativity and efficiency-weighted cooperat…