Results 61 to 70 of about 93,812 (304)

A review of differentiable digital signal processing for music and speech synthesis

Frontiers in Signal Processing
The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their integration into neural networks.
Ben Hayes, Jordie Shier, György Fazekas, Andrew McPherson, Charalampos Saitis   +4 more
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei, Stephen Mihalcik, Sujith Baliga, Young Kwok, Dana Casey, Eric Ehler, Christiane Burton, John C. Breneman, Daphne A. Haas‐Kogan, Suzanne L. Wolden, Arnold C. Paulino, Nadia N. Laack, Natia Esiashvili, Sarah Milgrom, Christine Hill‐Kayser, Thomas J. Fitzgerald, John A. Kalapurakal, Chia‐Ho Hua   +17 more
wiley   +1 more source

Automatic Multivector Differentiation and Optimization [PDF]

Advances in Applied Clifford Algebras, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lars Tingelstad, Olav Egeland
openaire   +3 more sources

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall, Emma N. Harrison, Genevieve C. Kendall   +2 more
wiley   +1 more source

Automatic differentiation and its program realization [PDF]

, 2009
summary:Automatic differentiation is an effective method for evaluating derivatives of function, which is defined by a formula or a program. Program for evaluating of value of function is by automatic differentiation modified to program, which also ...
Hartman, Jan, Lukšan, Ladislav, Zítko, Jan   +2 more
core  

Distributed Automatic Differentiation for Ptychography

Procedia Computer Science, 2017
Abstract Synchrotron radiation light source facilities are leading the way to ultrahigh resolution X-ray imaging. High resolution imaging is essential to understanding the fundamental structure and interaction of materials at the smallest length scale possible.
Youssef S. G. Nashed, Tom Peterka, Junjing Deng, Chris Jacobsen   +3 more
openaire   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel

Applied Sciences
The ordinary differential equations used to model a dynamic system can evolve during the simulation in circumstances where unpredictable events occur, more specifically, in regard to the domain of power electronics, for example, static converters will ...
Lucas Agobert, Laurent Gerbaud, Benoit Delinchant   +2 more
doaj   +1 more source

Wave-function positivization via automatic differentiation

Physical Review Research, 2020
We introduce a procedure to systematically search for a local unitary transformation that maps a wave function with a nontrivial sign structure into a positive-real form. The transformation is parametrized as a quantum circuit compiled into a set of one-
Giacomo Torlai, Juan Carrasquilla, Matthew T. Fishman, Roger G. Melko, Matthew P. A. Fisher   +4 more
doaj   +1 more source

Fully differentiable optimization protocols for non-equilibrium steady states

New Journal of Physics, 2021
In the case of quantum systems interacting with multiple environments, the time-evolution of the reduced density matrix is described by the Liouvillian.
Rodrigo A Vargas-Hernández, Ricky T Q Chen, Kenneth A Jung, Paul Brumer   +3 more
doaj   +1 more source