An argument for sparsity by Zeitlyn, D

Sparsity driven ultrasound imaging. by Tuysuzoglu, A, Kracht, J, Cleveland, R, Çetin, M, Karl, W

“…An image formation framework for ultrasound imaging from synthetic transducer arrays based on sparsity-driven regularization functionals using single-frequency Fourier domain data is proposed. …”

Exploiting sparsity for neural network verification by Newton, M, Papachristodoulou, A

“…There has been significant progress to improve the efficiency and the accuracy of these methods. We investigate the sparsity that arises in a recently proposed semi-definite programming framework to verify a fully connected feed-forward neural network. …”

LOCAL AND GLOBAL PROCESSING - ROLE OF SPARSITY by Martin, M

“…The two types of processing were compared here in four different ways, for stimuli with many and with few local elements (i.e., differing sparsities). These methods consisted of assessing naming latency, intrastimulus Stroop-like interference, intermodality Stroop-like interference, and phenomenal judgment. …”

Chordal sparsity, decomposing SDPs and the Lyapunov equation by Mason, R, Papachristodoulou, A

“…For large LMIs it is important to exploit structure and sparsity within the problem in order to solve the associated Semidefinite Programs efficiently. …”

Passive cavitation mapping with temporal sparsity constraint. by Gyöngy, M, Coviello, C

Fast ADMM for semidefinite programs with chordal sparsity by Zheng, Y, Fantuzzi, G, Papachristodoulou, A, Goulart, P, Wynn, A

“…For large-scale SDPs, it is important to exploit the inherent sparsity to improve scalability. This paper develops efficient first-order methods to solve SDPs with chordal sparsity based on the alternating direction method of multipliers (ADMM). …”

Exploring the sparsity of seismic wave propagation in complex media by Haindl, CM

“…I find that the sparsity of wavefields persists in the presence of complex local-scale structures such as thrust faults and salt bodies and in models with full anisotropy. …”

Deep neural network initialization with sparsity inducing activations by Price, I, Daultry Ball, N, Jones, AC, Chun Hei Lam, S, Tanner, J

On sparsity, power-law and clustering properties of graphex processes by Caron, F, Panero, F, Rousseau, J

“…Finally, we propose a class of models within this framework where one can separately control the latent structure and the global sparsity/power-law properties of the graph.…”

Chordal sparsity in control and optimization of large-scale systems by Zheng, Y

“…</p> <p>The first part of this thesis proposes a new conversion framework for large-scale SDPs characterized by chordal sparsity. This framework is analogous to standard conversion techniques for interior-point methods, but is more suitable for the application of first-order methods. …”

Sparsity-inducing optimal control via differential dynamic programming by Dinev, T, Merkt, W, Ivan, V, Havoutis, I, Vijayakumar, S

“…In this paper, we study approaches to induce sparsity in optimal control solutions—namely via smooth L 1 and Huber regularization penalties. …”

Multi-index Monte Carlo: when sparsity meets sampling by Haji-Ali, A, Nobile, F, Tempone, R

Understanding the effects of data parallelism and sparsity on neural network training by Lee, N, Ajanthan, T, Torr, PHS, Jaggi, M

“…We study two factors in neural network training: data parallelism and sparsity; here, data parallelism means processing training data in parallel using distributed systems (or equivalently increasing batch size), so that training can be accelerated; for sparsity, we refer to pruning parameters in a neural network model, so as to reduce computational and memory cost. …”

Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data by Miscouridou, X, Caron, F, Teh, Y

Tensor-sparsity of solutions to high-dimensional elliptic partial differential equations by Dahmen, W, DeVore, R, Grasedyck, L, Süli, E

“…Since these results require knowledge of the eigenbasis of the elliptic operator considered, we propose a second “basis-free” model of tensor-sparsity and prove a regularity theorem for this second sparsity model as well. …”

A chordal sparsity approach to scalable linear and nonlinear systems analysis by Mason, R

“…<p>In this thesis we investigate how the properties of chordal graphs can be used to exploit sparsity in several optimisation problems that arise in control theory. …”

Adult-born dentate granule cells promote hippocampal population sparsity by McHugh, SB, Lopes-dos-Santos, V, Gava, GP, Hartwich, K, Tam, SKE, Bannerman, DM, Dupret, D

“…Selectively activating abDGCs in their 4–7-week post-birth period increases sparsity of hippocampal population patterns, whereas suppressing abDGCs reduces this sparsity, increases principal cell firing rates and impairs novel object recognition with reduced dimensionality of the network firing structure, without affecting single-neuron spatial representations. …”

Bayesian sparsity-path-analysis of genetic association signal using generalized t priors. by Lee, A, Caron, F, Doucet, A, Holmes, C

“…For low degrees of freedom, we show that the generalized t exhibits "sparsity-prior" properties with some attractive features over other common forms of sparse priors and includes the well known double-exponential distribution as the degrees of freedom tends to infinity. …”

Sparsity of Non−trivial Proving Speed−up in Random Systems of Propositional Calculus by Hernandez−Orozco, S, Hernandez−Quiroz, F, Zenil, H