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Publication search results
found 32 matches
- 2024
- Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar:
Federated Variational Inference: Towards Improved Personalization and Generalization. AAAI Spring Symposia 2024: 323-327 - Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024 - 2023
- Regan M. Bernhard, Steven M. Frankland, Dillon Plunkett, Beau Sievers, Joshua D. Greene:
Evidence for Spinozan "Unbelieving" in the Right Inferior Prefrontal Cortex. J. Cogn. Neurosci. 35(4): 659-680 (2023) - Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon:
Weighted Ensemble Self-Supervised Learning. ICLR 2023 - Joshua R. Dillon, Debbie Zhao, Thiranja P. Babarenda Gamage, Gina M. Quill, Vicky Y. Wang, Nicola C. Edwards, Timothy M. Sutton, Boris S. Lowe, Malcolm E. Legget, Robert N. Doughty, Alistair A. Young, Martyn P. Nash:
Automated Segmentation of the Right Ventricle from 3D Echocardiography Using Labels from Cardiac Magnetic Resonance Imaging. STACOM@MICCAI 2023: 119-129 - Bram W. M. Geven, Debbie Zhao, Stephen A. Creamer, Joshua R. Dillon, Gina M. Quill, Nicola C. Edwards, Malcolm E. Legget, Robert N. Doughty, Alistair A. Young, Thiranja P. Babarenda Gamage, Martyn P. Nash:
Automated Quality-Controlled Left Heart Segmentation from 2D Echocardiography. STACOM@MICCAI 2023: 98-107 - Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar:
Federated Variational Inference: Towards Improved Personalization and Generalization. CoRR abs/2305.13672 (2023) - Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Joshua V. Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR abs/2312.14125 (2023) - 2022
- Warren R. Morningstar, Alex Alemi, Joshua V. Dillon:
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime. AISTATS 2022: 8270-8298 - Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon:
Weighted Ensemble Self-Supervised Learning. CoRR abs/2211.09981 (2022) - 2021
- Paul La Plante, Peter K. G. Williams, Matthew Kolopanis, Jesse Dillon, Adam P. Beardsley, Nicholas S. Kern, Michael Wilensky, Zaki S. Ali, Zara Abdurashidova, James E. Aguirre, Paul Alexander, Yanga Balfour, Gianni Bernardi, Tashalee S. Billings, Judd D. Bowman, Roxanne F. Bradley, Phil Bull, Jacob Burba, Steve Carey, Chris L. Carilli, Carina Cheng, David R. DeBoer, Matt Dexter, Eloy de Lera Acedo, John Ely, Aaron Ewall-Wice, Nicolas Fagnoni, Randall Fritz, Steven R. Furlanetto, Kingsley Gale-Sides, Brian Glendenning, Deepthi Gorthi, Bradley Greig, Jasper Grobbelaar, Ziyaad Halday, Bryna J. Hazelton, Jacqueline N. Hewitt, Jack Hickish, Daniel C. Jacobs, Austin Julius, Joshua Kerrigan, Piyanat Kittiwisit, Saul A. Kohn, Adam Lanman, Telalo Lekalake, David Lewis, Adrian Liu, David MacMahon, Lourence Malan, Cresshim Malgas, Matthys Maree, Zachary E. Martinot, Eunice Matsetela, Andrei Mesinger, Mathakane Molewa, Miguel F. Morales, Tshegofalang Mosiane, Steven G. Murray, Abraham R. Neben, Bojan Nikolic, Aaron R. Parsons, Robert Pascua, Nipanjana Patra, Samantha Pieterse, Jonathan C. Pober, Nima Razavi-Ghods, Jon Ringuette, James Robnett, Kathryn Rosie, Mario G. Santos, Peter H. Sims, Craig Smith, Angelo Syce, Nithyanandan Thyagarajan, Haoxuan Zheng:
A Real Time Processing system for big data in astronomy: Applications to HERA. Astron. Comput. 36: 100489 (2021) - Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon:
Density of States Estimation for Out of Distribution Detection. AISTATS 2021: 3232-3240 - Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. AISTATS 2021: 3250-3258 - 2020
- Ken Herner, James Annis, Dillon Brout, Marcelle Soares-Santos, Richard Kessler, Masao Sako, Ray F. Butler, Zoheyr Doctor, Antonella Palmese, Sahar Allam, Douglas L. Tucker, Flavia Sobreira, Brian Yanny, H. Thomas Diehl, Joshua A. Frieman, Noemi Glaeser, Alyssa Garcia, N. F. Sherman, Keith C. Bechtol, Edo Berger, Hsinyu Chen, Christopher J. Conselice, Erika R. Cook, Philip S. Cowperthwaite, Tamara M. Davis, Alex Drlica-Wagner, David A. Finley, Ryan J. Foley, Juan García-Bellido, Mandeep S. Gill, Robert A. Gruendl, Daniel E. Holz, Nikolay Kuropatkin, Huan Lin, John P. Marriner, Jennifer L. Marshall, Thomas Matheson, Eric H. Neilsen, Francisco Paz-Chinchón, Marcus Sauseda, Daniel M. Scolnic, Peter K. G. Williams, Santiago Ávila, Emmanuel Bertin, Elizabeth Buckley-Geer, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Luiz Nicolaci da Costa, Juan de Vicente, Shantanu Desai, Peter Doel, Tim F. Eifler, Spencer W. Everett, Pablo Fosalba, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, Gaston R. Gutiérrez, William G. Hartley, Devon L. Hollowood, Klaus Honscheid, David J. James, Elisabeth Krause, Kyler W. Kuehn, Ofer Lahav, Ting S. Li, Marcos Lima, Marcio A. G. Maia, Marisa C. March, Felipe Menanteau, Ramon Miquel, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, Ignacio Sevilla-Noarbe, Mathew C. Smith, Eric Suchyta, Gregory G. Tarlé, William C. Wester, Yuanyuan Zhang:
Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. Astron. Comput. 33: 100425 (2020) - Joshua A. Dillon, Wayne W. Weaver, Rush D. Robinett III, David G. Wilson:
Electro-Mechanical-Thermal Performance and Stability of Aircraft Energy Networks With Pulse Power Loads. IEEE Trans. Aerosp. Electron. Syst. 56(4): 2537-2547 (2020) - Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML 2020: 9289-9299 - Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton:
Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR abs/2001.04694 (2020) - Junpeng Lao, Christopher Suter, Ian Langmore, Cyril Chimisov, Ashish Saxena, Pavel Sountsov, Dave Moore, Rif A. Saurous, Matthew D. Hoffman, Joshua V. Dillon:
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware. CoRR abs/2002.01184 (2020) - Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR abs/2002.02655 (2020) - Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. CoRR abs/2003.01687 (2020) - Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon:
Density of States Estimation for Out-of-Distribution Detection. CoRR abs/2006.09273 (2020) - Warren R. Morningstar, Alexander A. Alemi, Joshua V. Dillon:
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime. CoRR abs/2010.09629 (2020) - Alexander A. Alemi, Warren R. Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon:
VIB is Half Bayes. CoRR abs/2011.08711 (2020) - 2019
- Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan:
Likelihood Ratios for Out-of-Distribution Detection. NeurIPS 2019: 14680-14691 - Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua V. Dillon, Jie Ren, Zachary Nado:
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift. NeurIPS 2019: 13969-13980 - Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, David Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek:
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift. CoRR abs/1906.02530 (2019) - Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan:
Likelihood Ratios for Out-of-Distribution Detection. CoRR abs/1906.02845 (2019) - 2018
- Galen Weld, Trevor Perrier, Jenny Aker, Joshua E. Blumenstock, Brian Dillon, Adalbertus Kamanzi, Editha Kokushubira, Jennifer Webster, Richard J. Anderson:
eKichabi: Information Access through Basic Mobile Phones in Rural Tanzania. CHI 2018: 133 - Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy:
Fixing a Broken ELBO. ICML 2018: 159-168 - 2017
- Fariborz Farahmand, Joshua Ripple, Mikhail J. Atallah, Robin L. Dillon-Merrill:
Security and privacy risks in electronic communications: A user's assessment. UEMCON 2017: 412-417
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