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Publication search results
found 190 matches
- 2023
- Shaun M. Fallat, David G. Kirkpatrick, Hans Ulrich Simon, Abolghasem Soltani, Sandra Zilles:
On Batch Teaching Without Collusion. J. Mach. Learn. Res. 24: 40:1-40:33 (2023) - William S. Evans, David G. Kirkpatrick:
Minimizing Query Frequency to Bound Congestion Potential for Moving Entities at a Fixed Target Time. FCT 2023: 162-175 - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - William S. Evans, David G. Kirkpatrick:
A Frequency-Competitive Query Strategy for Maintaining Low Collision Potential Among Moving Entities. WAOA 2023: 14-28 - Daniel A. Inafuku, Kay L. Kirkpatrick, Onyema Osuagwu, Qier An, David A. Brewster, Mayisha Zeb Nakib:
The channel capacity of the ribosome. CoRR abs/2307.14929 (2023) - Yuqi Wang, Aarzu Gupta, David Carpenter, Trey Mullikin, Zachary J. Reitman, Scott Floyd, John Kirkpatrick, Joseph K. Salama, Paul W. Sperduto, Jian-Guo Liu, Mustafa R. Bashir, Kyle J. Lafata:
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth. CoRR abs/2311.17173 (2023) - 2022
- Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta, Cassie S. Mitchell:
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big Data Cogn. Comput. 6(1): 27 (2022) - Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick:
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. EMNLP 2022: 1816-1826 - William Evans, David Kirkpatrick:
Frequency-Competitive Query Strategies to Maintain Low Congestion Potential Among Moving Entities. CoRR abs/2205.09243 (2022) - Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick:
Memorization in NLP Fine-tuning Methods. CoRR abs/2205.12506 (2022) - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. CoRR abs/2207.10062 (2022) - 2021
- David G. Kirkpatrick, Irina Kostitsyna, Alfredo Navarra, Giuseppe Prencipe, Nicola Santoro:
Separating Bounded and Unbounded Asynchrony for Autonomous Robots: Point Convergence with Limited Visibility. PODC 2021: 9-19 - David G. Kirkpatrick, Irina Kostitsyna, Alfredo Navarra, Giuseppe Prencipe, Nicola Santoro:
Separating Bounded and Unbounded Asynchrony for Autonomous Robots: Point Convergence with Limited Visibility. CoRR abs/2105.13042 (2021) - 2020
- Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis:
Improved protein structure prediction using potentials from deep learning. Nat. 577(7792): 706-710 (2020) - Anne Condon, Monir Hajiaghayi, David G. Kirkpatrick, Ján Manuch:
Approximate majority analyses using tri-molecular chemical reaction networks. Nat. Comput. 19(1): 249-270 (2020) - David Gamarnik, Eren C. Kizildag:
Computing the Partition Function of the Sherrington-Kirkpatrick Model is Hard on Average. ISIT 2020: 2837-2842 - Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR abs/2001.07740 (2020) - 2019
- David G. Kirkpatrick, Hans Ulrich Simon, Sandra Zilles:
Optimal Collusion-Free Teaching. ALT 2019: 506-528 - Daniel Busto, William S. Evans, David G. Kirkpatrick:
Minimizing Interference Potential Among Moving Entities. SODA 2019: 2400-2418 - David G. Kirkpatrick, Hans Ulrich Simon, Sandra Zilles:
Optimal Collusion-Free Teaching. CoRR abs/1903.04012 (2019) - 2018
- Katsuhisa Yamanaka, Takashi Horiyama, J. Mark Keil, David G. Kirkpatrick, Yota Otachi, Toshiki Saitoh, Ryuhei Uehara, Yushi Uno:
Swapping colored tokens on graphs. Theor. Comput. Sci. 729: 1-10 (2018) - Katsuhisa Yamanaka, Takashi Horiyama, J. Mark Keil, David G. Kirkpatrick, Yota Otachi, Toshiki Saitoh, Ryuhei Uehara, Yushi Uno:
Swapping Colored Tokens on Graphs. CoRR abs/1803.06816 (2018) - David Gamarnik:
Computing the partition function of the Sherrington-Kirkpatrick model is hard on average. CoRR abs/1810.05907 (2018) - 2017
- Ziyuan Gao, David G. Kirkpatrick, Christoph Ries, Hans Ulrich Simon, Sandra Zilles:
Preference-based Teaching of Unions of Geometric Objects. ALT 2017: 185-207 - Anne Condon, Monir Hajiaghayi, David G. Kirkpatrick, Ján Manuch:
Simplifying Analyses of Chemical Reaction Networks for Approximate Majority. DNA 2017: 188-209 - Toshiki Saitoh, David G. Kirkpatrick:
Space-Efficient and Output-Sensitive Implementations of Greedy Algorithms on Intervals. WALCOM 2017: 320-332 - 2016
- William S. Evans, David G. Kirkpatrick, Maarten Löffler, Frank Staals:
Minimizing Co-location Potential of Moving Entities. SIAM J. Comput. 45(5): 1870-1893 (2016) - Ashwin Gopinath, David G. Kirkpatrick, Paul W. K. Rothemund, Chris Thachuk:
Progressive Alignment of Shapes. CCCG 2016: 230-236 - David G. Kirkpatrick, Paul Liu:
Characterizing minimum-length coordinated motions for two discs. CCCG 2016: 252-259 - David G. Kirkpatrick, Paul Liu:
Characterizing minimum-length coordinated motions for two discs. CoRR abs/1607.04005 (2016)
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