Tootfinder

PULSE: Parametric Hardware Units for Low-power Sparsity-Aware Convolution Engine
Ilkin Aliyev, Tosiron Adegbija
https://arxiv.org/abs/2402.06210 https://…

PULSE: Parametric Hardware Units for Low-power Sparsity-Aware Convolution Engine
Spiking Neural Networks (SNNs) have become popular for their more bio-realistic behavior than Artificial Neural Networks (ANNs). However, effectively leveraging the intrinsic, unstructured sparsity of SNNs in hardware is challenging, especially due to the variability in sparsity across network layers. This variability depends on several factors, including the input dataset, encoding scheme, and neuron model. Most existing SNN accelerators fail to account for the layer-specific workloads of an a…

PULSE: Parametric Hardware Units for Low-power Sparsity-Aware Convolution Engine
Ilkin Aliyev, Tosiron Adegbija
https://arxiv.org/abs/2402.06210 https://…

PULSE: Parametric Hardware Units for Low-power Sparsity-Aware Convolution Engine
Spiking Neural Networks (SNNs) have become popular for their more bio-realistic behavior than Artificial Neural Networks (ANNs). However, effectively leveraging the intrinsic, unstructured sparsity of SNNs in hardware is challenging, especially due to the variability in sparsity across network layers. This variability depends on several factors, including the input dataset, encoding scheme, and neuron model. Most existing SNN accelerators fail to account for the layer-specific workloads of an a…

This https://arxiv.org/abs/2302.14230 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Optimal Priors for the Discounting Parameter of the Normalized Power Prior
The power prior is a popular class of informative priors for incorporating information from historical data. It involves raising the likelihood for the historical data to a power, which acts as discounting parameter. When the discounting parameter is modelled as random, the normalized power prior is recommended. In this work, we prove that the marginal posterior for the discounting parameter for generalized linear models converges to a point mass at zero if there is any discrepancy between the …

This https://arxiv.org/abs/2311.12205 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

SDN-Based Dynamic Cybersecurity Framework of IEC-61850 Communications in Smart Grid
In recent years, critical infrastructure and power grids have experienced a series of cyber-attacks, leading to temporary, widespread blackouts of considerable magnitude. Since most substations are unmanned and have limited physical security protection, cyber breaches into power grid substations present a risk. Nowadays, software-defined network (SDN), a popular virtual network technology based on the OpenFlow protocol is being widely used in the substation automation system. However, the susce…

Psephology, polling, elections
okay, assume 100% turnout (this is an exercise in voting system nerdiness madness)
(I guess this is going off party affiliation and habits of each demographic)
okay is this sayin' there's a lot of registered republicans or something else?
or maybe it's really showin' how much multiplication power having every state district go 50/50 split has in making things unequal (the efficiency gap, in voting terms)
also, for kicks, a 56 point independent would get 40% popular vote, and enough candidates to win, which is wild.

This https://arxiv.org/abs/2211.13383 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Non-Gaussian Bayesian Filter Using Power and Generalized Logarithmic Moments
In this paper, we aim to propose a consistent non-Gaussian Bayesian filter of which the system state is a continuous function. The distributions of the true system states, and those of the system and observation noises, are only assumed Lebesgue integrable with no prior constraints on what function classes they fall within. This type of filter has significant merits in both theory and practice, which is able to ameliorate the curse of dimensionality for the particle filter, a popular non-Gaussi…

From Fair Vote Canada
What if an election were held today? How the votes are counted determines our country’s future.
If the federal election were held today, 41% percent of the popular vote would hand Pierre Poilievre’s Conservatives 60% of the seats and 100% of the power.
#canpoli #cdnpoli
<…

If the federal election was held today with proportional representation - Fair Vote Canada
What if a federal election were held today with proportional representation? Projected outcome with first-past-the-post versus proportional representation.

This https://arxiv.org/abs/2402.14095 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Zero-shot generalization across architectures for visual classification
Generalization to unseen data is a key desideratum for deep networks, but its relation to classification accuracy is unclear. Using a minimalist vision dataset and a measure of generalizability, we show that popular networks, from deep convolutional networks (CNNs) to transformers, vary in their power to extrapolate to unseen classes both across layers and across architectures. Accuracy is not a good predictor of generalizability, and generalization varies non-monotonically with layer depth.

Fascism isn't adhering to any ideology but “win-no-matter-what”, Mussolini got into power by couping, Hitler got elected. Modern fascist movements have no problem idealizing Europe, Democracy, or “Freedom” because that's what is popular.
The original Nazis called themselves “socialists” for a reason, and some even believe they were that to this day!
The “white power” movement was a horrid “black power” rip-off (those two cannot be compared at all), and modern alt-rightis…

Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Danning Li, Lingzhou Xue, Haoyi Yang, Xiufan Yu
https://arxiv.org/abs/2405.02551

Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Testing differences in mean vectors is a fundamental task in the analysis of high-dimensional compositional data. Existing methods may suffer from low power if the underlying signal pattern is in a situation that does not favor the deployed test. In this work, we develop two-sample power-enhanced mean tests for high-dimensional compositional data based on the combination of $p$-values, which integrates strengths from two popular types of tests: the maximum-type test and the quadratic-type test.…

"""
The case of One Laptop per Child shows us why it is dangerous to ignore the origins of charisma: one risks being perpetually entranced by the newest charismatic technology. This is not to say that cultural change with a technology-centric project is impossible. Still, even more realistic reforms grounded in the realities of their intended beneficiaries sometimes have difficulty gaining broad popular support outside the school unless they add a charismatic gloss of rapid, revolutionary change.
This charismatic pressure can put even open-eyed reformers in a catch-22. They must promise dramatic results to gain the social and financial support for reforms, and then they must either admit to not achieving their goals or pretend that they did achieve them. Either way, funders will declare that the project is finished and withdraw financial support, and then researchers and other observers will begin to note the discrepancies between reformers’ promises and their own observations. Thus, projects that rely on charismatic technologies are often short lived; their resources are cut off before charisma recedes into the background and before the technology becomes part of everyday classroom experience. This catch-22 has dogged efforts for educational reform, development, and cultural change — especially those funded through grants or other short-term funding — for well over a century. As the technology community moves on to the next charismatic device without learning from its failures, this will continue to hamper the possibility of real, if incremental, change.
[…] After all, charisma is ultimately a conservative social force. Even when charismatic technologies promise to quickly and painlessly transform our lives for the better, they appeal precisely because they echo existing stereotypes, confirm the value of existing power relations, and reinforce existing ideologies. Meanwhile, they may divert attention and resources from more complicated, expensive, or politically charged reforms that do not promise a quick fix and are thus less charismatic.
"""
(Morgan G. Ames, The Charisma Machine)

This https://arxiv.org/abs/2204.04099 has been replaced.
link: https://scholar.google.com/scholar?q=a

Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
In the \emph{graph matching} problem we observe two graphs $G,H$ and the goal is to find an assignment (or matching) between their vertices such that some measure of edge agreement is maximized. We assume in this work that the observed pair $G,H$ has been drawn from the Correlated Gaussian Wigner (CGW) model -- a popular model for correlated weighted graphs -- where the entries of the adjacency matrices of $G$ and $H$ are independent Gaussians and each edge of $G$ is correlated with one edge of…

Extending direct data-driven predictive control towards systems with finite control sets
Manuel Kl\"adtke, Moritz Schulze Darup, Daniel E. Quevedo
https://arxiv.org/abs/2404.02727

Extending direct data-driven predictive control towards systems with finite control sets
Although classical model predictive control with finite control sets (FCS-MPC) is quite a popular control method, particularly in the realm of power electronics systems, its direct data-driven predictive control (FCS-DPC) counterpart has received relatively limited attention. In this paper, we introduce a novel reformulation of a commonly used DPC scheme that allows for the application of a modified sphere decoding algorithm, known for its efficiency and prominence in FCS-MPC applications. We t…

Here's their press release from this morning:
Alt text here instead of in images due to length:
NEWS RELEASE Embargoed until April 24, 7:00am PST
Divest From Death USA
Media Contact: Media Liaisons, USC Divest From Death Coalition USCSolidarityOccupation@protonmail.com
USC Divest From Death Coalition to Begin Gaza Solidarity Occupation in University of
Southern California Campus
LOS ANGELES. (April 24, 2023) — USC Divest From Death Coalition today announced theit occupation of USC's Alumni Park, where the increasingly controversial 2024 Commencement is currently set to take place. The students taking part in the Gaza Solidarity Occupation are planning to occupy USC until their demands are met. The coalition joins other students groups across the country in the National Students for Justice in Palestine's "Popular University for Gaza," a coordinated mass movement of students, faculty and staff that disrupts universities, creating climates that push universities to answer community and international calls for full divestment from the Zionist entity, and all of the industries that sustain it.
1. End War Profiteering and Investment in Genocide. USC must fully disclose and divest its finances and endowment from companies and institutions that profit from Israeli apartheid, genocide, and occupation in Palestine, including the US Military and weapons manufacturing. USC must comumit to accountability through full transparency of their financial investments.
2. Complete Academic Boycott of Israel. USC must end its study abroad programs at Hebrew University's Rothenberg International School and Reichman University and sever all academic ties and research cooperation with Israeli universities.
3. Protect free speech on campus and provide full amnesty to all students, staff, and faculty disciplined, penalized, or fired for their pro-Palestine ackivism. USC must abide by their self- proclaimed Diversity, Equity, and Inclusion values and implement material policies protecting the safety of its marginalized students.
4. Stop the Displacement, from South Central to Palestine. No land grabs, whether in South Central, Tongva territory, or Palestine. Cease expansion, provide reparations, and support housing for low-income South Central residents. No development by USC without genuine community control.
5. No Policing on Campus. End the targeted repression and harassment of Black, Brown, and Palestinian students and their allies on and off campus, including through university disciplinary processes. Defund the Department of Public Safety and disclose and sever all ties with the LAPD.
6. End the Silence on the Genocide in Palestine. Release a public statement calling for an immediate, permanent ceasefire in Gaza, denouncing the ongoing genocidal campaign against the Palestinian people, and call on government officials o do so too.
"I'm participating in the Gaza Solidarity Occupation at USC to highlight and amplify the anti- zionist Jewish voice at USC and be in solidarity with the Palestinian fight for liberation," says a student organizer from USC's chapter of Jewish Voices for Palestine (JVP). "JVP USC feels our voice is especially important right now as many people at USC and across the country are equating zionism and Judaism, but we are here to say they are not the same! We stand by our belief of free speech, resistance to oppressive systems and solidarity with our valedictorian Asna and all other college campuses where pro-Palestine voices have been silenced."
The USC Divest From Death Coalition establishes the occupation mo st fundamentally in solidarity with the people of Palestine as they resist genocide and continue in their struggle for liberation. The occupation is also in resistance to attempts by USC and other universities to suppress the student movement for Palestine on its campuses, in resistance to the silencing of students that criticize the state of Israel, in resistance to the university administrators and boards of trustees who profit off the genocide of Palestinians; The students taking part are firm in their commitment to speaking out against the university's complicity in the genocide of the Palestinian people.
"USC's funding of the ongoing genocide perpetuated by the zionist entity is reflective of maintaining imperialist interests abroad, as well as solidifying the shared ideology of amerikan and zionist institutions in preserving racialized oppression," says a student organizer of the Gaza Solidarity Occupation. "To not stand in opposition to the expressly racist violence here and abroad is to ignore the calls for solidarity demanded by the majority of the world. USC acts in accordance with these oppressions, and to call against this is to recognize both the inhumanity of these systems and our own humanity in opposing them."
We have chosen to use the word "occupation” instead of "encampment" to draw attention to USC as an occupying force on unceded Gabrieleno/Tongva land, an occupying force in South Central through its expansion into, gentrification of, and destruction of the existing community, and as a complicit power in Israeli occupation of Palestine.
About USC Divest From Death
In joining the national "Cut Ties with Genocide: Divest from Death" campaign, USC Divest From Death pushes our institutions to divest from companies complicit in the genocide of Palestinians, in all its iterations, alongside thousands of campuses. The coalition's push for the advancement of the key demand points on campus is the first steps towards the liberation of all people by ending the complicity of the University of Southern California in the violence enacted on our communities. Through the intentional act of coalition building, the students of USC realize that we are part of an interconnected fight for freedom taking place on campus, in our communities and homelands. We envision campuses free from militarism, occupation, and war through the implementation of divestment at USC
About Students for Justice in Palestine (SJP)
The student movement for the liberation of Palestine first began in the 1950s through the formation of the General Union of Palestinian Students (GUPS). From the U.S. to Palestine, GUPS chapters galvanized thousands of students towards a liberated Palestine. The 90s” wave of corrupt politicians and faulty deals changed the liberation movement as we knew it and many institutions, including the student movement, collapsed. In the absence of a Palestinian student movement, organizations such as Students for Justice in Palestine emerged across occupied Turtle Island (U.S. and Canada) as a way to educate, advocate, and mobilize in support for Palestinian liberation. Nearly two decades after the formation of the first Students for Justice in Palestine, the movement for Palestine has taken colleges and universities across North America by storm. With over 200 campus Palestine solidarity organizations across the continent, students have been leaders in uplifting demands for freedom, Justice, and equality for the Palestinian people.

It has actually been possible to use Chromium source to build a native Windows ARM browser for ages but Google is in control of a unfortunate key component, "Widevine". Widevine is their copyright "protection" system (a.k.a. DRM). This is widely used on many popular websites such as Netflix, Disney and Spotify. Since DRM systems can only really be maintained by big players, that allows the them to control in the web browser industry, thus further concentrating power with…

Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models
Yueqi Shen, Matthew A. Psioda, Luiz M. Carvalho, Joseph G. Ibrahim
https://arxiv.org/abs/2404.02453

Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models
The power prior is a popular class of informative priors for incorporating information from historical data. It involves raising the likelihood for the historical data to a power, which acts as a discounting parameter. When the discounting parameter is modeled as random, the normalized power prior is recommended. Bayesian hierarchical modeling is a widely used method for synthesizing information from different sources, including historical data. In this work, we examine the analytical relations…

On the Political Economy of Link-based Web Search
Deepak P, James Steinhoff, Stanley Simoes
https://arxiv.org/abs/2404.16530 https://…

On the Political Economy of Link-based Web Search
Web search engines arguably form the most popular data-driven systems in contemporary society. They wield a considerable power by functioning as gatekeepers of the Web, with most user journeys on the Web beginning with them. Starting from the late 1990s, search engines have been dominated by the paradigm of link-based web search. In this paper, we critically analyze the political economy of the paradigm of link-based web search, drawing upon insights and methodologies from critical political ec…

Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors
Srinivas Eswar, Vishwas Rao, Arvind K. Saibaba
https://arxiv.org/abs/2402.16000

Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors
This paper tackles optimal sensor placement for Bayesian linear inverse problems, a popular version of the more general Optimal Experiment Design (OED) problem, using the D-optimality criterion. This is done by establishing connections between sensor placement and Column Subset Selection Problem (CSSP), which is a well-studied problem in Numerical Linear Algebra (NLA). In particular, we use the Golub-Klema-Stewart (GKS) approach which involves computing the truncated Singular Value Decompositio…

Monotonicity formulas and (S$_ $)-property: old and new
\'Angel Crespo-Blanco
https://arxiv.org/abs/2403.19810 https://arxiv.org/…

Monotonicity formulas and (S$_+$)-property: old and new
The connection between monotonicity formulas and the (S$_+$)-property is that, for some popular differential operators, the former is used to prove the latter. The purpose of this paper is to explore this connection, remark how in the past both the monotonicity formulas and the (S$_+$)-property were focused exclusively on power-law growth and prove the same type of results for a more general class of operators.

It has actually been possible to use Chromium source to build a native Windows ARM browser for ages but Google is in control of a unfortunate key component, "Widevine". Widevine is their copyright "protection" system (a.k.a. DRM). This is widely used on many popular websites such as Netflix, Disney and Spotify. Since DRM systems can only really be maintained by big players, that allows the them to control in the web browser industry, thus further concentrating power with…

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks
Gabriel O. Ferreira, Andr\'e F. Zanella, Stefanos Bakirtzis, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe C. Calafiore, Ian Wassel, Jie Zhang, Marco Fiore
https://arxiv.org/abs/2403.14555

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks
Heterogeneous networks have emerged as a popular solution for accommodating the growing number of connected devices and increasing traffic demands in cellular networks. While offering broader coverage, higher capacity, and lower latency, the escalating energy consumption poses sustainability challenges. In this paper a novel optimization approach for OFDMA heterogeneous networks is proposed to minimize transmission power while respecting individual users throughput constraints. The problem is f…

This https://arxiv.org/abs/2401.15236 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones
Sub-10cm diameter nano-drones are gaining momentum thanks to their applicability in scenarios prevented to bigger flying drones, such as in narrow environments and close to humans. However, their tiny form factor also brings their major drawback: ultra-constrained memory and processors for the onboard execution of their perception pipelines. Therefore, lightweight deep learning-based approaches are becoming increasingly popular, stressing how computational efficiency and energy-saving are param…

Battery-Less LoRaWAN Communications using Energy Harvesting: Modeling and Characterization
Carmen Delgado, Jos\'e Mar\'ia Sanz, Chris Blondia, Jeroen Famaey
https://arxiv.org/abs/2402.07528

Battery-Less LoRaWAN Communications using Energy Harvesting: Modeling and Characterization
Billions of IoT devices are deployed worldwide and batteries are their main power source. However, these batteries are bulky, short-lived and full of hazardous chemicals that damage our environment. Relying on batteries is not a sustainable solution for the future IoT. As an alternative, battery-less devices run on long-lived capacitors charged using energy harvesters. The small energy storage capacity of capacitors results in an intermittent on-off behaviour. LoRaWAN is a popular Low Power Wid…

Microstructured large-area photoconductive terahertz emitters driven at high average power
Mohsen Khalili, Tim Vogel, Yicheng Wang, Samira Mansourzadeh, Abhishek Singh, Stephan Winnnerl, Clara J. Saraceno
https://arxiv.org/abs/2402.13940

Microstructured large-area photoconductive terahertz emitters driven at high average power
Emitters based on photoconductive materials excited by ultrafast lasers are well established and popular devices for THz generation. However, so far, these emitters, both photoconductive antennas and large area emitters, were mostly explored using driving lasers with moderate average powers (either fiber lasers with up to hundreds of milliwatts or Ti:Sapphire systems up to few watts). In this paper, we explore the use of high power, MHz repetition rate Ytterbium (Yb) based oscillator for THz em…

This https://arxiv.org/abs/2205.00530 has been replaced.
link: https://scholar.google.com/scholar?q=a

Generalized Fisher-Darmois-Koopman-Pitman Theorem and Rao-Blackwell Type Estimators for Power-Law Distributions
This paper generalizes the notion of sufficiency for estimation problems beyond maximum likelihood. In particular, we consider estimation problems based on Jones et al. and Basu et al. likelihood functions that are popular among distance-based robust inference methods. We first characterize the probability distributions that always have a fixed number of sufficient statistics (independent of sample size) with respect to these likelihood functions. These distributions are power-law extensions of…

On the Political Economy of Link-based Web Search
Deepak P, James Steinhoff, Stanley Simoes
https://arxiv.org/abs/2404.16530 https://…

On the Political Economy of Link-based Web Search
Web search engines arguably form the most popular data-driven systems in contemporary society. They wield a considerable power by functioning as gatekeepers of the Web, with most user journeys on the Web beginning with them. Starting from the late 1990s, search engines have been dominated by the paradigm of link-based web search. In this paper, we critically analyze the political economy of the paradigm of link-based web search, drawing upon insights and methodologies from critical political ec…

This https://arxiv.org/abs/2310.03556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective
Probabilistic modelling of power systems operation and planning processes depends on data-driven methods, which require sufficiently large datasets. When historical data lacks this, it is desired to model the underlying data generation mechanism as a probability distribution to assess the data quality and generate more data, if needed. Kernel density estimation (KDE) based models are popular choices for this task, but they fail to adapt to data regions with varying densities. In this paper, an …

Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors
Srinivas Eswar, Vishwas Rao, Arvind K. Saibaba
https://arxiv.org/abs/2402.16000

Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors
This paper tackles optimal sensor placement for Bayesian linear inverse problems, a popular version of the more general Optimal Experiment Design (OED) problem, using the D-optimality criterion. This is done by establishing connections between sensor placement and Column Subset Selection Problem (CSSP), which is a well-studied problem in Numerical Linear Algebra (NLA). In particular, we use the Golub-Klema-Stewart (GKS) approach which involves computing the truncated Singular Value Decompositio…

A Fundamental Analysis of the Impact on Traffic Assignment by Toll System of Electric Road System
Wataru Nakanishi, Noriko Kaneko
https://arxiv.org/abs/2402.07144

A Fundamental Analysis of the Impact on Traffic Assignment by Toll System of Electric Road System
Electric road system (ERS) is expected to make electric vehicles (EVs) more popular as EVs with Dynamic Wireless Power Transfer (DWPT) system can be charged while driving on ERS. Although some studies dealt with ERS implementation, its toll system has not been explored yet. This paper aims at a fundamental analysis on impact of ERS toll system on a traffic assignment. We conduct assignments on a simple network where two vehicle types (EVs with DWPT and others) are co-existing. The results under…

A Fundamental Analysis of the Impact on Traffic Assignment by Toll System of Electric Road System
Wataru Nakanishi, Noriko Kaneko
https://arxiv.org/abs/2402.07144

A Fundamental Analysis of the Impact on Traffic Assignment by Toll System of Electric Road System
Electric road system (ERS) is expected to make electric vehicles (EVs) more popular as EVs with Dynamic Wireless Power Transfer (DWPT) system can be charged while driving on ERS. Although some studies dealt with ERS implementation, its toll system has not been explored yet. This paper aims at a fundamental analysis on impact of ERS toll system on a traffic assignment. We conduct assignments on a simple network where two vehicle types (EVs with DWPT and others) are co-existing. The results under…