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[1802.02627] Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Over the past few years, Spiking Neural Networks (SNNs) have become popular as a possible pathway to enable low-power event-driven neuromorphic hardware. However, their application in machine learning have largely been limited to very shallow neural network architectures for simple problems. In this paper, we propose a novel algorithmic technique for generating an SNN with a deep architecture, and demonstrate its effectiveness on complex visual recognition problems such as CIFAR-10 and ImageNet. Our technique applies to both VGG and Residual network architectures, with significantly better accuracy than the state-of-the-art. Finally, we present analysis of the sparse event-driven computations to demonstrate reduced hardware overhead when operating in the spiking domain.
via:?  to-write-about  to-read  neural-networks  representation  models-and-modes  machine-learning  simulation 
6 days ago by Vaguery
Chimamanda Adichie: The daughter of postcolonial theory | France | Al Jazeera
But postcolonial artists and theorists alike face an intractable challenge: the burden of representation, which American literary critic Henry Louis Gates Jr defines as "that homely notion that you represent your race, thus that your actions can betray or honor it". 

While Gates Jr has in mind the eight, remarkable Black men he profiles in Thirteen Ways of Looking at a Black Man, his concept resonates with the literary world. Because the global literary marketplace can only celebrate a few writers of colour at a time, such writers become laden with the responsibility of representing their people.

The stakes are high. Under this pressure, there is little room for decontextualised humour. The risks of erasure of entire intellectual histories and hard-earned victories are real. Perhaps the lesson is not that we should joke less.

If we are to dismantle the inequalities that limit the possibilities of art and ideas from the postcolonial world, the lesson is clear: we should all embrace postcolonial thought.
literary-criticism  colonialism  theory  philosophy-in-practice  to-write-about 
12 days ago by Vaguery
Open Conference Systems | Public Knowledge Project
Open Conference Systems (OCS) is a free Web publishing tool that will create a complete Web presence for your scholarly conference. OCS will allow you to:

create a conference Web site
compose and send a call for papers
electronically accept paper and abstract submissions
allow paper submitters to edit their work
post conference proceedings and papers in a searchable format
post, if you wish, the original data sets
register participants
integrate post-conference online discussions
open-source  conferences  rather-interesting  infrastructure  disintermediation-in-action  to-write-about  to-understand 
13 days ago by Vaguery
Open Journal Systems | Public Knowledge Project
Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project through its federally funded efforts to expand and improve access to research.
open-access  publishing  academia  rather-interesting  to-understand  to-write-about 
13 days ago by Vaguery
About the Journal
fully open-access journal with explicit integration into distributed scholarly archives and libraries
computational-geometry  open-access  publishing  to-write-about  to-do 
13 days ago by Vaguery
[1404.6520] How to partition diversity
Diversity measurement underpins the study of biological systems, but measures used vary across disciplines. Despite their common use and broad utility, no unified framework has emerged for measuring, comparing and partitioning diversity. The introduction of information theory into diversity measurement has laid the foundations, but the framework is incomplete without the ability to partition diversity, which is central to fundamental questions across the life sciences: How do we prioritise communities for conservation? How do we identify reservoirs and sources of pathogenic organisms? How do we measure ecological disturbance arising from climate change?
The lack of a common framework means that diversity measures from different fields have conflicting fundamental properties, allowing conclusions reached to depend on the measure chosen. This conflict is unnecessary and unhelpful. A mathematically consistent framework would transform disparate fields by delivering scientific insights in a common language. It would also allow the transfer of theoretical and practical developments between fields.
We meet this need, providing a versatile unified framework for partitioning biological diversity. It encompasses any kind of similarity between individuals, from functional to genetic, allowing comparisons between qualitatively different kinds of diversity. Where existing partitioning measures aggregate information across the whole population, our approach permits the direct comparison of subcommunities, allowing us to pinpoint distinct, diverse or representative subcommunities and investigate population substructure. The framework is provided as a ready-to-use R package to easily test our approach.
diversity  population-biology  bioinformatics  philosophy-of-science  algorithms  statistics  rather-interesting  to-write-about  to-understand  consider:genetic-programming  define-your-terms 
13 days ago by Vaguery
Breakdown - Futility Closet
These are called Borwein integrals, after David and Jonathan Borwein, the father-and-son mathematicians who first presented them in 2001.

Engineer Hanspeter Schmid writes, “[W]hen this fact was recently verified by a researcher using a computer algebra package, he concluded that there must be a ‘bug’ in the software. It is not a bug, though; this series of integrals really only results in π/2 up to a certain point, and then breaks down. This astonishes most mathematically educated readers, as especially those readers mentally extrapolate the sequence shown above and find it surprising that something fundamental should change when the factor sinc(x/15) is introduced.” He gives a graphic explanation of what’s happening.
mathematical-recreations  rather-interesting  misleading-trends  to-write-about 
13 days ago by Vaguery
World Wide Wanderings
Over the years I have worked on many different research and computing projects, all over the world. Most of my scientific work is related to the origin of life, evolution, and complex systems & emergence. Below is a brief overview of the main projects that I am currently working on. Preprints of my publications on this work are available for download (see the list of publications).
hey-I-know-this-guy  science  complexology  to-write-about 
13 days ago by Vaguery
BDD Done easy – The three levels of BDD | The IT Risk Manager
The easy way to do BDD is “Working Backwards“(1). Sadly “Working Backwards” is a principle that few people are aware of and even fewer practice.
software-development-is-not-programming  BDD  agile-practices  philosophy-of-engineering  the-mangle-in-practice  to-write-about 
14 days ago by Vaguery
Highly composite number - Wikipedia
A highly composite number (or anti-prime[1]) is a positive integer with more divisors than any smaller positive integer has. The term was coined by Ramanujan (1915). However, Jean-Pierre Kahane has suggested that the concept might have been known to Plato, who set 5040 as the ideal number of citizens in a city as 5040 has more divisors than any numbers less than it.[2]
The related concept of largely composite number refers to a positive integer which has at least as many divisors as any smaller positive integer.
number-theory  nudge-targets  to-write-about  consider:classification 
14 days ago by Vaguery
Creating Intricate Art with Neural Style Transfer – Becoming Human: Artificial Intelligence Magazine
The architecture is based on Gatys’ style transfer algorithm with a few minor modifications. In this case, the content image is a silhouette and style image can be any pattern (ranging from simple black and white doodle to more complex color mosaics). The code also contains a module to invert and create a mask based on the content image, which will eventually be applied to the generated pattern.
generative-art  generative-models  style-transfer  computational-recreations  to-write-about  to-do  nudge-targets  consider:representation 
14 days ago by Vaguery
[1711.10485] AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
In this paper, we propose an Attentional Generative Adversarial Network (AttnGAN) that allows attention-driven, multi-stage refinement for fine-grained text-to-image generation. With a novel attentional generative network, the AttnGAN can synthesize fine-grained details at different subregions of the image by paying attentions to the relevant words in the natural language description. In addition, a deep attentional multimodal similarity model is proposed to compute a fine-grained image-text matching loss for training the generator. The proposed AttnGAN significantly outperforms the previous state of the art, boosting the best reported inception score by 14.14% on the CUB dataset and 170.25% on the more challenging COCO dataset. A detailed analysis is also performed by visualizing the attention layers of the AttnGAN. It for the first time shows that the layered attentional GAN is able to automatically select the condition at the word level for generating different parts of the image.
deep-learning  generative-models  adversarial-models  coevolution  machine-learning  representation  algorithms  to-write-about 
14 days ago by Vaguery
[1604.02181] A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide variety of applications where an unknown, non-negative quantity must be recovered from linear measurements. We present a unified framework for S-NNLS based on a rectified power exponential scale mixture prior on the sparse codes. We show that the proposed framework encompasses a large class of S-NNLS algorithms and provide a computationally efficient inference procedure based on multiplicative update rules. Such update rules are convenient for solving large sets of S-NNLS problems simultaneously, which is required in contexts like sparse non-negative matrix factorization (S-NMF). We provide theoretical justification for the proposed approach by showing that the local minima of the objective function being optimized are sparse and the S-NNLS algorithms presented are guaranteed to converge to a set of stationary points of the objective function. We then extend our framework to S-NMF, showing that our framework leads to many well known S-NMF algorithms under specific choices of prior and providing a guarantee that a popular subclass of the proposed algorithms converges to a set of stationary points of the objective function. Finally, we study the performance of the proposed approaches on synthetic and real-world data.
matrices  inverse-problems  algorithms  rather-interesting  nudge-targets  performance-measure  to-write-about 
14 days ago by Vaguery
The (Math) Problem With Pentagons | Quanta Magazine
To understand the problem with pentagons, let’s start with one of the simplest and most elegant of geometric structures: the regular tilings of the plane. These are arrangements of regular polygons that cover flat space entirely and perfectly, with no overlap and no gaps. Here are the familiar triangular, square and hexagonal tilings. We find them in floors, walls and honeycombs, and we use them to pack, organize and build things more efficiently.
tiling  to-write-about  mathematical-recreations  the-mangle-in-practice  define-your-terms  rather-interesting 
14 days ago by Vaguery
Concrete examples for utopian ideals: how the Sharing Cities movement is paving the way | P2P Foundation
Humanitas, the very first case study is a wonderful example.This Netherlands-based project has proven how intergenerational living works. This is an elder-care residence that also provides housing to students and young people. The exchange for living there is 30 hours of their time per month, engaging with the elderly community. The project has been so successful they have set up in multiple locations. This is a very encouraging concept when we think of the baby-boom generation globally ageing along with the housing-crisis the millennial generation is going through. This is a model for institutions to copy or for individuals to replicate.
utopianism  sharing  social-norms  social-engineering  rather-interesting  to-write-about  political-economy 
14 days ago by Vaguery
[1710.00709] Synthesising Evolutionarily Stable Normative Systems
Within the area of multi-agent systems, normative systems are a widely used framework for the coordination of interdependent activities. A crucial problem associated with normative systems is that of synthesising norms that effectively accomplish a coordination task and whose compliance forms a rational choice for the agents within the system. In this work, we introduce a framework for the synthesis of normative systems that effectively coordinate a multi-agent system and whose norms are likely to be adopted by rational agents. Our approach roots in evolutionary game theory. Our framework considers multi-agent systems in which evolutionary forces lead successful norms to prosper and spread within the agent population, while unsuccessful norms are discarded. The outputs of this evolutionary norm synthesis process are normative systems whose compliance forms a rational choice for the agents. We empirically show the effectiveness of our approach through empirical evaluation in a simulated traffic domain.
evolutionary-dynamics  game-theory  rather-interesting  meta-simulation  performance-measure  inverse-problems  to-write-about  consider:looking-to-see 
15 days ago by Vaguery
[1710.04211] StackSeq2Seq: Dual Encoder Seq2Seq Recurrent Networks
A widely studied non-deterministic polynomial time (NP) hard problem lies in finding a route between the two nodes of a graph. Often meta-heuristics algorithms such as A∗ are employed on graphs with a large number of nodes. Here, we propose a deep recurrent neural network architecture based on the Sequence-2-Sequence (Seq2Seq) model, widely used, for instance in text translation. Particularly, we illustrate that utilising a context vector that has been learned from two different recurrent networks enables increased accuracies in learning the shortest route of a graph. Additionally, we show that one can boost the performance of the Seq2Seq network by smoothing the loss function using a homotopy continuation of the decoder's loss function.
neural-networks  machine-learning  algorithms  rather-interesting  operations-research  optimization  heuristics  to-write-about  nudge-targets 
15 days ago by Vaguery
[1710.04372] Wealth and Identity: The dynamics of dual segregation
We extend our model of wealth segregation to incorporate migration and study the tendencies towards dual segregation - segregation due to identity (migrants vs. residents) and segregation due to wealth. We find a sharp, non-linear transformation between segregated and mixed-wealth states as neighborhood wealth thresholds become less stringent, allowing agents to move into neighborhoods they cannot afford. The number of such moves required for the onset of this transformation varies inversely with the likelihood of agents willing to move into less wealthy neighborhoods. We also find that this sharp transformation from segregated to mixed wealth states is simultaneously accompanied by a corresponding non-linear transformation from a less identity-segregated to a highly identity-segregated state. We argue that the decrease in wealth segregation does not merely accompany, but in fact drives the increase in identity-based segregation. This implies that lowering wealth segregation necessarily exacerbates identity segregation and that therefore, this trade-off could to be an important consideration in designing urban policy. Additionally, we find that the time taken for the tolerance levels of residents to be breached is significantly lesser under rapid migration. This rapidity of breach of tolerance could potentially underpin the intensity of resident responses to sharp bursts of migration.
social-dynamics  agent-based  simulation  evolutionary-economics  to-write-about  consider:making-one 
15 days ago by Vaguery
What is Category Theory Anyway? — Math3ma
A quick browse through my Twitter or Instagram accounts, and you might guess that I've had category theory on my mind. You'd be right, too! So I have a few category-theory themed posts lined up for this semester, and to start off, I'd like to (attempt to) answer the question, What is category theory, anyway? for anyone who may not be familiar with the subject.

Now rather than give you a list of definitions--which are easy enough to find and may feel a bit unmotivated at first--I thought it would be nice to tell you what category theory is in the grand scheme of (mathematical) things. You see, it's very different than other branches of math. Rather than being another sibling lined up in the family photograph, it's more like a common gene that unites them in the first place.

Let me explain.
category-theory  introduction  rather-interesting  to-read  to-write-about  to-emulate 
15 days ago by Vaguery

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