On blocky ranks of matrices

D Avraham, A Yehudayoff - computational complexity, 2024 - Springer
A matrix is blocky if it is a" blowup" of a permutation matrix. The blocky rank of a matrix M is
the minimum number of blocky matrices that linearly span M. Hambardzumyan, Hatami and …

Cryptographic hardness under projections for time-bounded Kolmogorov complexity

E Allender, J Gouwar, S Hirahara, C Robelle - Theoretical Computer …, 2023 - Elsevier
A version of time-bounded Kolmogorov complexity, denoted KT, has received attention in
the past several years, due to its close connection to circuit complexity and to the Minimum …

Trade-Offs Between Energy and Depth of Neural Networks

K Uchizawa, H Abe - Neural Computation, 2024 - direct.mit.edu
We present an investigation on threshold circuits and other discretized neural networks in
terms of the following four computational resources—size (the number of gates), depth (the …

Depth-Three Circuits for Inner Product and Majority Functions

K Amano - 34th International Symposium on Algorithms and …, 2023 - drops.dagstuhl.de
We consider the complexity of depth-three Boolean circuits with limited bottom fan-in that
compute some explicit functions. This is one of the simplest circuit classes for which we …

On the Complexity of Neural Network Representations

KM Kiliç - 2024 - search.proquest.com
The evolution of the human brain was one of the milestones in the history of information after
the emergence of life. The underlying biological, chemical, and physical processes of the …

[HTML][HTML] Breaking Graphs into Independent Rectangles

D Xie - 2024 - search.proquest.com
We survey the problem of covering and partitioning a bipartite graph using vertex-disjoint
unions of bicliques. The concept of a vertex-disjoint union of bicliques has been given many …

Black-Box Hypotheses and Lower Bounds

BK Chapman, RR Williams - 46th International Symposium on …, 2021 - drops.dagstuhl.de
What sort of code is so difficult to analyze that every potential analyst can discern essentially
no information from the code, other than its input-output behavior? In their seminal work on …

Exponential Lower Bounds for Threshold Circuits of Sub-Linear Depth and Energy

K Uchizawa, H Abe - arXiv preprint arXiv:2107.00223, 2021 - arxiv.org
In this paper, we investigate computational power of threshold circuits and other theoretical
models of neural networks in terms of the following four complexity measures: size (the …

A Dual Perspective on Computational Complexity

B Chapman - 2022 - dspace.mit.edu
One central aim of theoretical computer science is to understand the limits of computation.
On the one hand, algorithms give upper bounds on the resources required for a …