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Publication search results
found 85 matches
- 2024
- Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab:
Delegating Data Collection in Decentralized Machine Learning. AISTATS 2024: 478-486 - Nivasini Ananthakrishnan, Tiffany Ding, Mariel A. Werner, Sai Praneeth Karimireddy, Michael I. Jordan:
Privacy Can Arise Endogenously in an Economic System with Learning Agents. FORC 2024: 9:1-9:22 - Nivasini Ananthakrishnan, Tiffany Ding, Mariel A. Werner, Sai Praneeth Karimireddy, Michael I. Jordan:
Privacy Can Arise Endogenously in an Economic System with Learning Agents. CoRR abs/2404.10767 (2024) - Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CoRR abs/2405.15217 (2024) - 2023
- Niv Tik
, Shachar Gal, Asaf Madar
, Tamar Ben-David, Michal Bernstein-Eliav, Ido Tavor
:
Generalizing prediction of task-evoked brain activity across datasets and populations. NeuroImage 276: 120213 (2023) - Ewane Basil Ewane
, Midhun Mohan
, Shaurya Bajaj, G. A. Pabodha Galgamuwa
, Michael S. Watt
, Pavithra S. Pitumpe Arachchige
, Andrew T. Hudak
, Gabriella Richardson, Nivedhitha Ajithkumar, Shruthi Srinivasan, Ana Paula Dalla Corte
, Daniel J. Johnson
, Eben North Broadbent
, Sergio de-Miguel
, Margherita Bruscolini, Derek J. N. Young, Shahid Shafai
, Meshal M. Abdullah, Wan Shafrina Wan Mohd Jaafar
, Willie Doaemo, Carlos Alberto Silva
, Adrián Cardil:
Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics. Remote. Sens. 15(10): 2627 (2023) - Hallur Reynisson, Lisa Nivison-Smith, Nigel H. Lovell, Michael Kalloniatis, Mohit N. Shivdasani:
Development of a rabbit model of Adenosine triphosphate-induced monocular retinal degeneration for optimization of retinal prostheses. EMBC 2023: 1-4 - Nivedita Dutta
, Michael DeBellis
:
Dental Restorative Material Ontology (DrMO). FOIS 2023: 288-301 - Yaniv Nikankin, Niv Haim, Michal Irani:
SinFusion: Training Diffusion Models on a Single Image or Video. ICML 2023: 26199-26214 - Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani:
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. NeurIPS 2023 - Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani:
Reconstructing Training Data from Multiclass Neural Networks. CoRR abs/2305.03350 (2023) - Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani:
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. CoRR abs/2307.01827 (2023) - Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab:
Delegating Data Collection in Decentralized Machine Learning. CoRR abs/2309.01837 (2023) - 2022
- Divya Ramamoorthy
, Kristen Severson, Soumya Ghosh
, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman
, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho
, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry
, Terri Thompson
, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass
, Christina N. Fournier, Alexander Sherman, Christian Lunetta
, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng
, Ernest Fraenkel
:
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2(9): 605-616 (2022) - Shachar Gal, Yael Coldham, Niv Tik
, Michal Bernstein-Eliav
, Ido Tavor
:
Act natural: Functional connectivity from naturalistic stimuli fMRI outperforms resting-state in predicting brain activity. NeuroImage 258: 119359 (2022) - Shachar Gal, Niv Tik
, Michal Bernstein-Eliav
, Ido Tavor
:
Predicting individual traits from unperformed tasks. NeuroImage 249: 118920 (2022) - Guy Gaziv
, Roman Beliy
, Niv Granot
, Assaf Hoogi
, Francesca Strappini
, Tal Golan
, Michal Irani:
Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity. NeuroImage 254: 119121 (2022) - Niv Dayan, Tamar Weiss, Shmuel Dashevsky, Michael Pan, Edward Bortnikov, Moshe Twitto:
Spooky: Granulating LSM-Tree Compactions Correctly. Proc. VLDB Endow. 15(11): 3071-3084 (2022) - Shaoyu Chen
, Fabio Miranda
, Nivan Ferreira
, Marcos Lage
, Harish Doraiswamy
, Corinne Brenner, Connor DeFanti, Michael Koutsoubis, Luc Wilson, Ken Perlin, Cláudio T. Silva
:
UrbanRama: Navigating Cities in Virtual Reality. IEEE Trans. Vis. Comput. Graph. 28(12): 4685-4699 (2022) - Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh
, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles:
A Synthetic Prediction Market for Estimating Confidence in Published Work. AAAI 2022: 13218-13220 - Michael J. McCourt, Zachary I. Bell, Scott A. Nivison:
Passivity-Based Target Tracking Robust to Intermittent Measurements. ACC 2022: 1626-1631 - Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CDC 2022: 5179-5184 - Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani:
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. CVPR 2022: 13450-13459 - Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. ECCV (17) 2022: 491-509 - Michael Franklin Mbouopda:
Etude de la prédiction du niveau de la nappe phréatique à l'aide de modèles neuronaux convolutif, récurrent et résiduel. EGC 2022: 313-320 - Paraskevi Chantzi, Nives Ogrinc, Doris Potocnik, Stella Dokou, Ilias Giannenas, Michalis Vernikos, Nektarios D. Giadinis:
Effect of Diet on the Stable Isotopes of Carbon and Nitrogen in Cow-Sheep-Goat Milk - Abstract. HAICTA 2022: 510-511 - Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani:
Reconstructing Training Data From Trained Neural Networks. NeurIPS 2022 - Rehmat Munir, Francesco Strafforello, Niveditha Kani, Michael Kaler, Bogdan Simion
, Lisa Zhang:
Exploring Common Writing Issues in Upper-Year Computer Science. SIGCSE (1) 2022: 161-167 - Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles:
A Synthetic Prediction Market for Estimating Confidence in Published Work. CoRR abs/2201.06924 (2022) - Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Video Generation from a Single Video. CoRR abs/2205.05725 (2022)
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