S
Samaneh Azadi
Researcher at University of California, Berkeley
Publications - 23
Citations - 1019
Samaneh Azadi is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Object (computer science) & Computer science. The author has an hindex of 12, co-authored 19 publications receiving 702 citations. Previous affiliations of Samaneh Azadi include Google & Adobe Systems.
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Multi-content GAN for Few-Shot Font Style Transfer
TL;DR: This work focuses on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typeface, and proposes an end-to-end stacked conditional GAN model considering content along channels and style along network layers.
First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment
Jelle Aalbers,D. S. Akerib,Carl W. Akerlof,A. Musalhi,F. I. Alder,Ahmed Alqahtani,S. Alsum,CS Amarasinghe,A. Ames,Todd J. Anderson,N. Angelides,Henrique Araujo,J. E. Armstrong,M. Arthurs,Samaneh Azadi,A. J. Bailey,A. Baker,J. Balajthy,S. Balashov,J. Bang,J. Bargemann,M.J. Barry,Jordon Barthel,D. A. Bauer,A. Baxter,K. Beattie,Joy Belle,P. Beltrame,Jacob Bensinger,T. Benson,Ethan Bernard,Ahmed F. Bhatti,Andreas Biekert,T. P. Biesiadzinski,H. J. Birch,B. Birrittella,G. M. Blockinger,K. E. Boast,B. Boxer,R. Bramante,Charl Anne Brew,P. Brás,J. H. Buckley,V. Bugaev,Sergey Burdin,J. Busenitz,M. Buuck,R. Cabrita,C. Carels,Duncan Carlsmith,B. Carlson,M. C. Carmona-Benitez,Melissa Cascella,C. Chan,Ambika Chawla,H. Chen,J. J. Cherwinka,N. Chott,A. Cole,Jeremy Coleman,Mark Converse,A. Cottle,G. A. Cox,W. Craddock,Oisín Creaner,Doreen Curran,A. Currie,J. E. Cutter,C. E. Dahl,A. David,J. Davis,T. J. R. Davison,Julian J. DelGaudio,Sucharita Dey,L. de Viveiros,A. Dobi,J. E. Y. Dobson,E. Druszkiewicz,A.B. Dushkin,T. K. Edberg,W. R. Edwards,M. Elnimr,W. T. Emmet,Stine Risdal Eriksen,C. H. Faham,A. Fan,Simon Fayer,N. M. Fearon,S. Fiorucci,H. U. Flaecher,P. Ford,V. B. Francis,E. D. Fraser,Thomas Fruth,R. J. Gaitskell,N.J. Gantos,Daniel Garcia,Amy C. Geffre,V. M. Gehman,J. Genovesi,C. Ghag,Rachel M. Gibbons,Eilish Gibson,M. G. D. Gilchriese,S. Gokhale,Bhawna Gomber,J. Green,A. Greenall,S. Greenwood,M. G. D. van der Grinten,Chris Gwilliam,C. R. Hall,S. Hans,K. Hanzel,A. Harrison,Ellen Hartigan-O'Connor,S. J. Haselschwardt,S. A. Hertel,G. Heuermann,C. Hjemfelt,Marie D. Hoff,E. Holtom,J. Hor,M. Horn,D. Q. Huang,Diana Hunt,C. M. Ignarra,R. G. Jacobsen,O. Jahangir,Robert S. Jampel,S. N. Jeffery,W. Ji,A. C. Kaboth,A. Kamaha,K. Kamdin,V. Kasey,K. Kazkaz,J. Keefner,D. Khaitan,M. Khaleeq,A. Khazov,I. Khurana,Y. D. Kim,Charles D. Kocher,D. Kodroff,L. Korley,Elena Korolkova,J. Kras,H. Kraus,S. Kravitz,H.J. Krebs,L. Kreczko,Benjamin Krikler,V. A. Kudryavtsev,S. Kyre,B. Landerud,E. Leason,C. Lee,J. Lee,F. Leonard,Robert Leonard,K. T. Lesko,C. Levy,Jian Li,F.-T. Liao,Junhui Liao,J. Lin,A. Lindote,R. Linehan,W. H. Lippincott,R Liu,X. Liu,Y Q Liu,C. Loniewski,M.I. Lopes,E. Lopez Asamar,B. Lopez Paredes,Wolfgang Lorenzon,D. Lucero,S. Luitz,Janice M. Lyle,Peter Majewski,J. Makkinje,D.C. Malling,A. Manalaysay,Laura Manenti,R. L. Mannino,N. Marangou,M. F. Marzioni,C. Maupin,Michael E. McCarthy,C. T. McConnell,Daniel McKinsey,J. B. McLaughlin,Y. Meng,J. Migneault,Eric L. Miller,E. Mizrachi,J. Mock,A. Monte,M. E. Monzani,J. A. Morad,J. D. Morales Mendoza,E. C. Morrison,Matthew Murdy,A. St. J. Murphy,D. Naim,A. Naylor,Christopher Nedlik,C. Nehrkorn,H. N. Nelson,F. Neves,Alex Nguyen,J. A. Nikoleyczik,A. Nilima,Jessica Piano O'Dell,F. G. O'Neill,K. O'Sullivan,I. Olcina,M. A. Olevitch,K. C. Oliver-Mallory,James Edward Orpwood,D. Pagenkopf,S. Pal,K. J. Palladino,John Palmer,M. Pangilinan,Nishat Parveen,S. J. Patton,E. K. Pease,Bjoern Penning,Caroline Galan de Souza Pereira,G. Pereira,Earl Perry,T. Pershing,I. B. Peterson,A. Piepke,John Podczerwinski,David Porzio,S. Powell,R. M. Preece,K. Pushkin,Y. Qie,B. N. Ratcliff,J. Reichenbacher,L. Reichhart,C. Rhyne,A B Richards,Q. Riffard,G. R. C. Rischbieter,J. P. Rodrigues,A. Rodriguez,H. J. Rose,Richard Rose,Patrick Rossiter,T.G.A. Rushton,G. Rutherford,D.G. Rynders,J.S. Saba,D. Santone,A. B.M.R. Sazzad,R. W. Schnee,P. R. Scovell,D. Seymour,S. Shaw,T. A. Shutt,J.J. Silk,C. Silva,G. Sinev,K. Skarpaas,W. Skulski,R. Smith,M. Solmaz,V. N. Solovov,P. Sorensen,Jeremy Soria,I. Stancu,Michael R. Stark,Amy Stevens,T.M. Stiegler,K. Stifter,Roger Eric Studley,B. Suerfu,T. J. Sumner,P. Sutcliffe,Neil Swanson,Matthew Szydagis,M. Tan,D. J. Taylor,R. Taylor,W. C. Taylor,B. P. Tennyson,P. A. Terman,K.J. Thomas,D. R. Tiedt,M. Timalsina,A. Tomás,Zhong‐Fang Tong,Joanne Neal Tranter,M.J. Trask,Mani Tripathi,D. R. Tronstad,C. E. Tull,W. Turner,L. Tvrznikova,U. Utku,Antonin Vacheret,Antanas Vaitkus,J.R. Verbus,E. Voirin,W.L. Waldron,A. Wang,Bo Wang,J. J. Wang,Wei Wang,Yi Wang,Jacob Ross Watson,R. C. Webb,Andrew White,D. White,James T. White,Robert G. White,T. J. Whitis,M. Williams,W. J. Wisniewski,Michael S. Witherell,F.L.H. Wolfs,J. D. Wolfs,Susan Woodford,D. Woodward,Carly Jayne Wright,Qianxu Xia,X. Y. Xiang,Q. Xiao,J Q Xu,Melody Yeh,J. Yin,Ian Young,P. Zarzhitsky,Amy Zuckerman,Ellen Zweig +340 more
TL;DR: Results from LZ’s first search for Weakly Interacting Massive Particles with an exposure of 60 live days are reported, setting new limits on spin-independent WIMp-nucleon cross-sections for WIMP masses above 9 GeV / c 2.
Posted Content
Multi-Content GAN for Few-Shot Font Style Transfer
TL;DR: This article proposed an end-to-end stacked conditional GAN model considering content along channels and style along network layers to generate a set of multi-content images following a consistent style from very few examples.
Posted Content
Discriminator Rejection Sampling.
TL;DR: A rejection sampling scheme using the discriminator of a GAN to approximately correct errors in the GAN generator distribution and a practical algorithm - called Discriminator Rejection Sampling (DRS) - that can be used on real data-sets is designed.
Proceedings Article
Auxiliary Image Regularization for Deep CNNs with Noisy Labels
TL;DR: An auxiliary image regularization technique is proposed, optimized by the stochastic Alternating Direction Method of Multipliers (ADMM) algorithm, that automatically exploits the mutual context information among training images and encourages the model to select reliable images to robustify the learning process.