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相关论文: From DNF compression to sunflower theorems via reg…

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Sunflowers, or $\Delta$-systems, are a fundamental concept in combinatorics introduced by Erd\H{o}s and Rado in their paper: {\em Intersection theorems for systems of sets}, J. Lond. Math. Soc. (1) {\bf 35} (1960), 85--90. A sunflower is a…

组合数学 · 数学 2025-09-19 Anup Rao

A decision list is an ordered list of rules. Each rule is specified by a term, which is a conjunction of literals, and a value. Given an input, the output of a decision list is the value corresponding to the first rule whose term is…

计算复杂性 · 计算机科学 2020-02-19 Shachar Lovett , Kewen Wu , Jiapeng Zhang

Robust sunflowers are a generalization of combinatorial sunflowers that have applications in monotone circuit complexity, DNF sparsification, randomness extractors, and recent advances on the Erd\H{o}s-Rado sunflower conjecture. The recent…

计算复杂性 · 计算机科学 2022-08-08 Bruno Pasqualotto Cavalar , Mrinal Kumar , Benjamin Rossman

This paper theoretically investigates the following empirical phenomenon: given a high-complexity network with poor generalization bounds, one can distill it into a network with nearly identical predictions but low complexity and vastly…

机器学习 · 计算机科学 2021-04-13 Daniel Hsu , Ziwei Ji , Matus Telgarsky , Lan Wang

In recent studies [1][13][12] Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, data compression is also based on…

计算与语言 · 计算机科学 2017-05-03 Juan Andrés Laura , Gabriel Masi , Luis Argerich

Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new possibilities for data compression, allowing compression…

机器学习 · 计算机科学 2023-08-22 Yibo Yang , Stephan Mandt , Lucas Theis

A sunflower is a collection of sets $\{U_1,\ldots, U_n\}$ such that the pairwise intersection $U_i\cap U_j$ is the same for all choices of distinct $i$ and $j$. We study sunflowers of convex open sets in $\mathbb R^d$, and provide a…

组合数学 · 数学 2022-07-19 R. Amzi Jeffs

Using the recently developed framework of [Daniely et al, 2014], we show that under a natural assumption on the complexity of refuting random K-SAT formulas, learning DNF formulas is hard. Furthermore, the same assumption implies the…

机器学习 · 计算机科学 2014-11-05 Amit Daniely , Shai Shalev-Shwatz

A sunflower with $k$ petals, or $k$-sunflower, is a family of $k$ sets every two of which have a common intersection. Known since 1960, the sunflower conjecture states that a family ${\mathcal F}$ of sets each of cardinality $m$ includes a…

组合数学 · 数学 2021-12-28 Junichiro Fukuyama

We study the problem of efficient compression of a stochastic source of probability distributions. It can be viewed as a generalization of Shannon's source coding problem. It has relation to the theory of common randomness, as well as to…

量子物理 · 物理学 2016-09-08 Andreas Winter

Detection and elimination of redundant clauses from propositional formulas in Conjunctive Normal Form (CNF) is a fundamental problem with numerous application domains, including AI, and has been the subject of extensive research. Moreover,…

计算机科学中的逻辑 · 计算机科学 2012-07-11 Anton Belov , Joao Marques-Silva

We introduce a class of convolutional neural networks (CNNs) that utilize recurrent neural networks (RNNs) as convolution filters. A convolution filter is typically implemented as a linear affine transformation followed by a non-linear…

计算与语言 · 计算机科学 2018-08-29 Yi Yang

In recent years, many backdoor attacks based on training data poisoning have been proposed. However, in practice, those backdoor attacks are vulnerable to image compressions. When backdoor instances are compressed, the feature of specific…

计算机视觉与模式识别 · 计算机科学 2023-05-26 Mingfu Xue , Xin Wang , Shichang Sun , Yushu Zhang , Jian Wang , Weiqiang Liu

The subject logic in computer science should entail proof theoretic applications. So the question arises whether open problems in computational complexity can be solved by advanced proof theoretic techniques. In particular, consider the…

计算复杂性 · 计算机科学 2020-12-09 L. Gordeev , E. H. Haeusler

We propose tensorial neural networks (TNNs), a generalization of existing neural networks by extending tensor operations on low order operands to those on high order ones. The problem of parameter learning is challenging, as it corresponds…

机器学习 · 统计学 2018-12-11 Jiahao Su , Jingling Li , Bobby Bhattacharjee , Furong Huang

Recently, deep unfolding methods that guide the design of deep neural networks (DNNs) through iterative algorithms have received increasing attention in the field of inverse problems. Unlike general end-to-end DNNs, unfolding methods have…

最优化与控制 · 数学 2022-11-28 Zhuo-Xu Cui , Qingyong Zhu , Jing Cheng , Dong Liang

The Union Closed Sets Conjecture is one of the most renowned problems in combinatorics. Its appeal lies in the simplicity of its statement contrasted with the potential complexity of its resolution. The conjecture posits that, in any union…

组合数学 · 数学 2025-10-02 Nived J M

We demonstrate the truth of the sunflower conjecture by showing that a family $\mathcal{F}$ of sets each of cardinality at most $m$ includes a $k$-sunflower, if $|\mathcal{F}| > ( c k )^{2m}$ for a constant $c>0$ independent of $m$ and $k$,…

组合数学 · 数学 2026-04-29 Junichiro Fukuyama

In traditional software programs, it is easy to trace program logic from variables back to input, apply assertion statements to block erroneous behavior, and compose programs together. Although deep learning programs have demonstrated…

机器学习 · 计算机科学 2021-10-27 Mike Wu , Noah Goodman , Stefano Ermon

We introduce some generalized topological concepts to deal with union-closed families, and show that one can reduce the proof of Frankl's conjecture to some families of so-called supratopological spaces. We prove some results on the…

组合数学 · 数学 2025-09-18 André Carvalho , António Machiavelo
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