图像生成 - arXivDaily 专题

1609.03899 2016-09-21 astro-ph.HE 50%

Probing Acceleration and Turbulence at Relativistic Shocks in Blazar Jets

Matthew G. Baring, Markus Böttcher, Errol J. Summerlin

专题命中效率与蒸馏：diffusion(abstract)

Comments 22 pages, 8 figures, accepted for publication in Monthly Notices of the Royal Astronomical Society

1609.03472 2016-09-13 astro-ph.HE 50%

Time dependent diffusive shock acceleration and its application to middle aged supernova remnants

Xiaping Tang, Roger A. Chevalier

专题命中效率与蒸馏：diffusion(abstract)

Comments Proceedings of the conference "Supernova Remnants: an Odyssey in Space after Stellar Death"

1609.01259 2016-09-06 astro-ph.HE 50%

Charge Exchange Losses and Stochastic Acceleration in the Solar Wind

Ciaran Kenny, Peter Duffy

专题命中效率与蒸馏：diffusion(abstract)

astro-ph/0509385 2016-08-30 astro-ph 50%

Particle Acceleration by MHD Turbulence

Jungyeon Cho, A. Lazarian

专题命中效率与蒸馏：diffusion(abstract)

Comments 17 pages, 4 figures, accepted by ApJ; Some sections re-arranged

Journal ref Astrophys.J.638:811-826,2006

astro-ph/9809137 2016-08-30 astro-ph 50%

Direct Acceleration of Pickup Ions at the Solar Wind Termination Shock: the Production of Anomalous Cosmic Rays

Donald C. Ellison, Frank C. Jones, Matthew G. Baring

专题命中效率与蒸馏：diffusion(abstract)

Comments 15 pages including 1 table and 10 figures, AASTeX emulateapj format, accepted for publication in The Astrophysical Journal

astro-ph/9501053 2016-08-30 astro-ph 50%

Diffusive Shock Acceleration Simulations: Comparison with Particle Methods and Bow Shock Measurements

Hyesung Kang, T. W. Jones

专题命中效率与蒸馏：diffusion(abstract)

Comments 34 pages, uuencoded compressed postscript file. Accepted for publication in ApJ.

1603.02657 2016-08-24 math.PR math.ST stat.TH 50%

Data-driven probability concentration and sampling on manifold

Christian Soize, Roger Ghanem

专题命中效率与蒸馏：diffusion(abstract)

Comments Submitted to Journal of Computational Physics on September 27, 2015

1602.00444 2016-08-03 q-bio.CB 50%

Efficient simulations of tubulin-driven axonal growth

Stefan Diehl, Erik Henningsson, Anders Heyden

专题命中效率与蒸馏：diffusion(abstract)

Comments Authors' accepted version, (post refereeing). The final publication (in Journal of Computational Neuroscience) is available at Springer via http://dx.doi.org/10.1007/s10827-016-0604-x

Journal ref J. Comput. Neurosci. 41(1) (2016) 45--63

1606.09272 2016-07-01 cond-mat.mes-hall 50%

Towards a high-supersaturation theory of crystal growth: Nonlinear one-step flow model in 1+1 dimensions

Joshua P. Schneider, Paul N. Patrone, Dionisios Margetis

专题命中效率与蒸馏：diffusion(abstract)

1603.07386 2016-06-29 astro-ph.HE 50%

Time-Dependent Electron Acceleration in Blazar Transients: X-Ray Time Lags and Spectral Formation

Tiffany R. Lewis, Peter A. Becker, Justin D. Finke

专题命中效率与蒸馏：diffusion(abstract)

1505.01378 2016-06-29 physics.soc-ph cond-mat.stat-mech cs.SI 50%

Efficient exploration of multiplex networks

Federico Battiston, Vincenzo Nicosia, Vito Latora

专题命中效率与蒸馏：diffusion(abstract)

Comments Was 'Biased random walks on multiplex networks'. To appear in New Journal of Physics. 12 pages, 5 figures

Journal ref New J. Phys. 18(4), 043035 (2016)

1606.00093 2016-06-02 cs.CE 50%

ExTASY: Scalable and Flexible Coupling of MD Simulations and Advanced Sampling Techniques

Vivekanandan Balasubramanian, Iain Bethune, Ardita Shkurti, Elena Breitmoser, Eugen Hruska, Cecilia Clementi, Charles Laughton, Shantenu Jha

专题命中效率与蒸馏：diffusion(abstract)

Comments 10 pages

1603.05106 2016-05-26 stat.ML cs.AI cs.LG 50%

One-Shot Generalization in Deep Generative Models

Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra

专题命中效率与蒸馏：image generation(abstract)

Comments 8pgs, 1pg references, 1pg appendix, In Proceedings of the 33rd International Conference on Machine Learning, JMLR: W&CP volume 48, 2016

1602.07773 2016-05-25 astro-ph.HE 50%

Stochastic Particle Acceleration in Turbulence Generated by the Magnetorotational Instability

Shigeo S. Kimura, Kenji Toma, Takeru K. Suzuki, Shu-ichiro Inutsuka

专题命中效率与蒸馏：diffusion(abstract)

Comments 11 pages, 9 figures, re-submitted to ApJ with minor revision

Journal ref Astrophys. J, 822, 88, 2016

1604.06972 2016-04-26 astro-ph.HE 50%

Acceleration of Thermal Protons By Generic Phenomenological Mechanisms

Vahé Petrosian, Byungwoo Kang

专题命中效率与蒸馏：diffusion(abstract)

Comments 21 pages, 9 figures, accepted for publication in ApJ

1504.05715 2016-04-20 stat.CO stat.AP 50%

Langevin and Hamiltonian based Sequential MCMC for Efficient Bayesian Filtering in High-dimensional Spaces

Francois Septier, Gareth W. Peters

专题命中效率与蒸馏：diffusion(abstract)

1508.06907 2016-04-13 cond-mat.stat-mech math-ph math.MP 50%

Two-scale large deviations for chemical reaction kinetics through second quantization path integral

Tiejun Li, Feng Lin

专题命中效率与蒸馏：diffusion(abstract)

1603.07376 2016-03-25 cs.DS 50%

An effective Time-Aware Map Matching process for low sampling GPS data

Paolo Cintia, Mirco Nanni

专题命中效率与蒸馏：diffusion(abstract)

1510.00597 2016-03-23 cond-mat.stat-mech 50%

Patchwork Sampling of Stochastic Differential Equations

Rüdiger Kürsten, Ulrich Behn

专题命中效率与蒸馏：diffusion(abstract)

Comments 14 pages, 6 figures

Journal ref Phys. Rev. E 93, 033307 (2016)

1603.05892 2016-03-21 cond-mat.soft 50%

Beyond Poisson-Boltzmann: Numerical sampling of charge density fluctuations

Frédéric Poitevin, Marc Delarue, Henri Orland

专题命中效率与蒸馏：diffusion(abstract)

1603.05290 2016-03-18 math.ST stat.TH 50%

Jump filtering and efficient drift estimation for Lévy-driven SDE's

Arnaud Gloter, Dasha Loukianova, Hilmar Mai

专题命中效率与蒸馏：diffusion(abstract)

Comments 40 pages

1512.00623 2016-02-24 cond-mat.mtrl-sci 50%

A machine learning-based selective sampling procedure for identifying the low energy region in a potential energy surface: a case study on proton conduction in oxides

Kazuaki Toyoura, Daisuke Hirano, Atsuto Seko, Motoki Shiga, Akihide Kuwabara, Masayuki Karasuyama, Kazuki Shitara, Ichiro Takeuchi

专题命中效率与蒸馏：diffusion(abstract)

Journal ref Phys. Rev. B 93, 054112 (2016)

1602.06775 2016-02-23 physics.space-ph 50%

A stochastic model for non-relativistic particle acceleration

G. Pallocchia, M. Laurenza, G. Consolini

专题命中效率与蒸馏：diffusion(abstract)

1512.02901 2016-01-27 astro-ph.HE 50%

Particle spectra and efficiency in nonlinear relativistic shock acceleration: survey of scattering models

Donald C. Ellison, Donald C. Warren, Andrei M. Bykov

专题命中效率与蒸馏：diffusion(abstract)

Comments Accepted for publication in MNRAS

1011.2182 2016-01-26 cond-mat.other cond-mat.mtrl-sci cond-mat.soft 50%

Extraordinarily Efficient Conduction in a Redox-Active Ionic Liquid

Verner K. Thorsmølle, Guido Rothenberger, Daniel Topgaard, Jan C. Brauer, Dai-Bin Kuang, Shaik M. Zakeeruddin, Björn Lindman, Michael Grätzel, Jacques-E. Moser

专题命中效率与蒸馏：diffusion(abstract)

Comments Article: 17 pages, 3 figures. Supplementary information: 14 pages, 6 figures. Table of contents figure: 1 page. Accepted for publication in ChemPhysChem

Journal ref Chem. Phys. Chem. Vol. 12, 145-149 (2011)

1502.07577 2016-01-20 cs.IT cs.SD math.IT 50%

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Ivan Dokmanic, Yue M. Lu

专题命中效率与蒸馏：diffusion(abstract)

Comments 14 pages, 8 figures, submitted to IEEE Transactions on Signal Processing

1411.7551 2016-01-18 math.PR 50%

Continuous-time perpetuities and time reversal of diffusions

Constantinos Kardaras, Scott Robertson

专题命中效率与蒸馏：diffusion(abstract)

Comments 42 pages; added numerical example

1512.07662 2015-12-25 stat.ML 50%

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin

专题命中效率与蒸馏：diffusion(abstract)

Comments AAAI 2016

1511.04137 2015-12-03 cs.SI cs.AI cs.LG 50%

Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling

Lin Chen, Forrest W. Crawford, Amin Karbasi

专题命中效率与蒸馏：diffusion(abstract)

Comments A full version with technical proofs. Accepted by AAAI-16

1507.03692 2015-11-20 physics.plasm-ph physics.space-ph 50%

Observation of particle acceleration in laboratory magnetosphere

Yohei Kawazura, Zensho Yoshida, Masaki Nishiura, Haruhiko Saitoh, Yoshihisa Yano, Tomoaki Nogami, Naoki Sato, Miyuri Yamasaki, Ankur Kashyap, Toshiki Mushiake

专题命中效率与蒸馏：diffusion(abstract)

Journal ref Physics of Plasmas 22, 112503 (2015)

1. 效率与蒸馏 2547 篇

Probing Acceleration and Turbulence at Relativistic Shocks in Blazar Jets

Time dependent diffusive shock acceleration and its application to middle aged supernova remnants

Charge Exchange Losses and Stochastic Acceleration in the Solar Wind

Particle Acceleration by MHD Turbulence

Direct Acceleration of Pickup Ions at the Solar Wind Termination Shock: the Production of Anomalous Cosmic Rays

Diffusive Shock Acceleration Simulations: Comparison with Particle Methods and Bow Shock Measurements

Data-driven probability concentration and sampling on manifold

Efficient simulations of tubulin-driven axonal growth

Towards a high-supersaturation theory of crystal growth: Nonlinear one-step flow model in 1+1 dimensions

Time-Dependent Electron Acceleration in Blazar Transients: X-Ray Time Lags and Spectral Formation

Efficient exploration of multiplex networks

ExTASY: Scalable and Flexible Coupling of MD Simulations and Advanced Sampling Techniques

One-Shot Generalization in Deep Generative Models

Stochastic Particle Acceleration in Turbulence Generated by the Magnetorotational Instability

Acceleration of Thermal Protons By Generic Phenomenological Mechanisms

Langevin and Hamiltonian based Sequential MCMC for Efficient Bayesian Filtering in High-dimensional Spaces

Two-scale large deviations for chemical reaction kinetics through second quantization path integral

An effective Time-Aware Map Matching process for low sampling GPS data

Patchwork Sampling of Stochastic Differential Equations

Beyond Poisson-Boltzmann: Numerical sampling of charge density fluctuations

Jump filtering and efficient drift estimation for Lévy-driven SDE's

A machine learning-based selective sampling procedure for identifying the low energy region in a potential energy surface: a case study on proton conduction in oxides

A stochastic model for non-relativistic particle acceleration

Particle spectra and efficiency in nonlinear relativistic shock acceleration: survey of scattering models

Extraordinarily Efficient Conduction in a Redox-Active Ionic Liquid

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Continuous-time perpetuities and time reversal of diffusions

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling

Observation of particle acceleration in laboratory magnetosphere