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Publication search results
found 48 matches
- 2024
- Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - 2023
- AmirMahdi Ahmadinejad, John Peebles, Edward Pyne, Aaron Sidford, Salil P. Vadhan:
Singular Value Approximation and Sparsifying Random Walks on Directed Graphs. FOCS 2023: 846-854 - AmirMahdi Ahmadinejad, John Peebles, Edward Pyne, Aaron Sidford, Salil P. Vadhan:
Singular Value Approximation and Reducing Directed to Undirected Graph Sparsification. CoRR abs/2301.13541 (2023) - 2022
- Ilias Diakonikolas, Chrystalla Pavlou, John Peebles, Alistair Stewart:
Efficient Approximation Algorithms for the Inverse Semivalue Problem. AAMAS 2022: 354-362 - 2021
- Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price:
Optimal testing of discrete distributions with high probability. STOC 2021: 542-555 - 2020
- David Durfee, John Peebles, Richard Peng, Anup B. Rao:
Determinant-Preserving Sparsification of SDDM Matrices. SIAM J. Comput. 49(4) (2020) - John Backes, Ulises Berrueco, Tyler Bray, Daniel Brim, Byron Cook, Andrew Gacek, Ranjit Jhala, Kasper Søe Luckow, Sean McLaughlin, Madhav Menon, Daniel Peebles, Ujjwal Pugalia, Neha Rungta, Cole Schlesinger, Adam Schodde, Anvesh Tanuku, Carsten Varming, Deepa Viswanathan:
Stratified Abstraction of Access Control Policies. CAV (1) 2020: 165-176 - William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. ECCV (6) 2020: 581-597 - AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan:
High-precision Estimation of Random Walks in Small Space. FOCS 2020: 1295-1306 - William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. CoRR abs/2008.10599 (2020) - Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price:
Optimal Testing of Discrete Distributions with High Probability. CoRR abs/2009.06540 (2020) - Ilias Diakonikolas, Themis Gouleakis, Daniel Kane, John Peebles, Eric Price:
Optimal Testing of Discrete Distributions with High Probability. Electron. Colloquium Comput. Complex. TR20 (2020) - 2019
- Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Collision-Based Testers are Optimal for Uniformity and Closeness. Chic. J. Theor. Comput. Sci. 2019 (2019) - Varchas Gopalaswamy, Riccardo Betti, J. P. Knauer, N. Luciani, D. Patel, K. M. Woo, A. Bose, I. V. Igumenshchev, E. M. Campbell, K. S. Anderson, K. A. Bauer, M. J. Bonino, D. Cao, A. R. Christopherson, G. W. Collins, T. J. B. Collins, J. R. Davies, J. A. Delettrez, Dana H. Edgell, R. Epstein, C. J. Forrest, Dustin H. Froula, V. Y. Glebov, Valeri N. Goncharov, D. R. Harding, S. X. Hu, D. W. Jacobs-Perkins, R. T. Janezic, J. H. Kelly, O. M. Mannion, Andrei V. Maximov, F. J. Marshall, D. T. Michel, S. Miller, S. F. B. Morse, John P. Palastro, J. Peebles, P. B. Radha, S. P. Regan, S. Sampat, T. C. Sangster, A. B. Sefkow, W. Seka, R. C. Shah, W. T. Shmyada, A. Shvydky, C. Stoeckl, A. A. Solodov, W. Theobald, Jonathan D. Zuegel, M. Gatu Johnson, Richard D. Petrasso, C. K. Li, Johan A. Frenje:
Tripled yield in direct-drive laser fusion through statistical modelling. Nat. 565(7741): 581-586 (2019) - John E. Mittler, James T. Murphy, Sarah E. Stansfield, Kathryn Peebles, Geoffrey S. Gottlieb, Neil F. Abernethy, Molly C. Reid, Steven M. Goodreau, Joshua T. Herbeck:
Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model. PLoS Comput. Biol. 15(12) (2019) - Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Towards Testing Monotonicity of Distributions Over General Posets. COLT 2019: 34-82 - Ilias Diakonikolas, Daniel M. Kane, John Peebles:
Testing Identity of Multidimensional Histograms. COLT 2019: 1107-1131 - Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Towards Testing Monotonicity of Distributions Over General Posets. CoRR abs/1907.03182 (2019) - AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan:
High-precision Estimation of Random Walks in Small Space. CoRR abs/1912.04524 (2019) - 2018
- Maryam Aliakbarpour, Amartya Shankha Biswas, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee:
Sublinear-Time Algorithms for Counting Star Subgraphs via Edge Sampling. Algorithmica 80(2): 668-697 (2018) - Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford:
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. FOCS 2018: 898-909 - Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price:
Sample-Optimal Identity Testing with High Probability. ICALP 2018: 41:1-41:14 - Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt:
On the Limitations of First-Order Approximation in GAN Dynamics. ICML 2018: 3011-3019 - Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sébastien Ourselin, David J. Hawkes, Tom Vercauteren:
A log-Euclidean and total variation based variational framework for computational sonography. Medical Imaging: Image Processing 2018: 105740D - Sang-won Leigh, Timothy Denton, Kush Parekh, William S. Peebles, Magnus H. Johnson, Pattie Maes:
Morphology Extension Kit: A Modular Robotic Platform for Physically Reconfigurable Wearables. TEI 2018: 11-18 - Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sébastien Ourselin, David J. Hawkes, Tom Vercauteren:
A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography. CoRR abs/1802.02088 (2018) - Ilias Diakonikolas, Daniel M. Kane, John Peebles:
Testing Identity of Multidimensional Histograms. CoRR abs/1804.03636 (2018) - Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford:
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. CoRR abs/1811.10722 (2018) - 2017
- Sang-won Leigh, Kush Parekh, Timothy Denton, William S. Peebles, Magnus H. Johnson, Pattie Maes:
Morphology Extension Kit: A Modular Robotic Platform for Customizable and Physically Capable Wearables. CHI Extended Abstracts 2017: 397-400 - David Durfee, John Peebles, Richard Peng, Anup B. Rao:
Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. FOCS 2017: 926-937
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