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Publication search results
found 519 matches
- 2024
- Andrew Strelzoff, Benjamin D. Trump, Christopher L. Cummings, Madison Smith, Stephanie Elisabeth Galaitsi, Kelsey Stoddard, Jeffrey M. Keisler, Moshe Vardi, Nathaniel Bastian, Alexander Kott, Igor Linkov:
Human Intuition and Algorithmic Efficiency Must Be Balanced to Enhance Data Mesh Resilience. Commun. ACM 67(5): 48-51 (2024) - Jeff Coon, Alexander Etz, Gregory Scontras, Barbara W. Sarnecka:
Esports as a Cultural Microcosm for Studying Psycholinguistics. Games Cult. 19(3): 357-372 (2024) - Tyson L. Swetnam, Parker B. Antin, Ryan Bartelme, Alexander Bucksch, David Camhy, Greg Chism, Illyoung Choi, Amanda M. Cooksey, Michele Cosi, Cindy Cowen, Michael Culshaw-Maurer, Robert Davey, Sean Davey, Upendra Devisetty, Tony Edgin, Andy Edmonds, Dmitry V. Fedorov, Jeremy Frady, John Fonner, Jeffrey K. Gillan, Iqbal Hossain, Blake Joyce, Konrad Lang, Tina Lee, Shelley Littin, Ian McEwen, Nirav C. Merchant, David Micklos, Andrew Nelson, Ashley Ramsey, Sarah Roberts, Paul Sarando, Edwin Skidmore, Jawon Song, Mary Margaret Sprinkle, Sriram Srinivasan, Dan Stanzione, Jonathan D. Strootman, Sarah Stryeck, Reetu Tuteja, Matthew Vaughn, Mojib Wali, Mariah Wall, Ramona Walls, Liya Wang, Todd Wickizer, Jason Williams, John Wregglesworth, Eric Lyons:
CyVerse: Cyberinfrastructure for open science. PLoS Comput. Biol. 20(2) (2024) - Alexander Frummet, Alessandro Speggiorin, David Elsweiler, Anton Leuski, Jeff Dalton:
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant. ACM Trans. Inf. Syst. 42(5): 122:1-122:29 (2024) - Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan:
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. FAccT 2024: 1559-1578 - Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha:
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC 2024: 214-215 - Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez:
TraCE: Trajectory Counterfactual Explanation Scores. NLDL 2024: 36-45 - Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth:
Preserving Image Properties Through Initializations in Diffusion Models. WACV 2024: 5230-5238 - Kedan Li, Jeffrey Zhang, Shao-Yu Chang, David A. Forsyth:
Controlling Virtual Try-on Pipeline Through Rendering Policies. WACV 2024: 5854-5836 - Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David A. Forsyth:
Preserving Image Properties Through Initializations in Diffusion Models. CoRR abs/2401.02097 (2024) - Malika Sanhinova, Nazim Haouchine, Steven D. Pieper, William M. Wells III, Tracy A. Balboni, Alexander Spektor, Mai Anh Huynh, Jeffrey P. Guenette, Bryan Czajkowski, Sarah Caplan, Patrick Doyle, Heejoo Kang, David B. Hackney, Ron N. Alkalay:
Registration of Longitudinal Spine CTs for Monitoring Lesion Growth. CoRR abs/2402.09341 (2024) - Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng, Chris Sweeney, Edward Miller, Huixuan Tang, Jeff Meissner, Jing Dong, Kiran Somasundaram, Luis Pesqueira, Mark Schwesinger, Omkar M. Parkhi, Qiao Gu, Renzo De Nardi, Shangyi Cheng, Steve Saarinen, Vijay Baiyya, Yuyang Zou, Richard A. Newcombe, Jakob Julian Engel, Xiaqing Pan, Carl Yuheng Ren:
Aria Everyday Activities Dataset. CoRR abs/2402.13349 (2024) - Jeffrey Zhang, Kedan Li, Shao-Yu Chang, David A. Forsyth:
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On. CoRR abs/2403.13951 (2024) - Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant:
Training LLMs over Neurally Compressed Text. CoRR abs/2404.03626 (2024) - SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, Devvret Rishi:
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report. CoRR abs/2405.00732 (2024) - ALOHA 2 Team, Jorge Aldaco, Travis Armstrong, Robert Baruch, Jeff Bingham, Sanky Chan, Kenneth Draper, Debidatta Dwibedi, Chelsea Finn, Pete Florence, Spencer Goodrich, Wayne Gramlich, Torr Hage, Alexander Herzog, Jonathan Hoech, Thinh Nguyen, Ian Storz, Baruch Tabanpour, Leila Takayama, Jonathan Tompson, Ayzaan Wahid, Ted Wahrburg, Sichun Xu, Sergey Yaroshenko, Kevin Zakka, Tony Z. Zhao:
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation. CoRR abs/2405.02292 (2024) - 2023
- Alexander A. Anderson, Brett A. Jefferson, Slaven Kincic, John E. Wenskovitch, Corey K. Fallon, Jessica Baweja, Yousu Chen:
Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust. IEEE Access 11: 109689-109707 (2023) - Navaneethakrishna Makaram, Sarvagya Gupta, Matthew Pesce, Jeffrey Bolton, Scellig S. Stone, Daniel Haehn, Marc Pomplun, Christos L. Papadelis, Phillip L. Pearl, Alexander Rotenberg, Patricia Ellen Grant, Eleonora Tamilia:
Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? Algorithms 16(12): 567 (2023) - Devin Lange, Shaurya Sahai, Jeff M. Phillips, Alexander Lex:
Ferret: Reviewing Tabular Datasets for Manipulation. Comput. Graph. Forum 42(3): 187-198 (2023) - Klaus Steiniger, René Widera, Sergey I. Bastrakov, Michael Bussmann, Sunita Chandrasekaran, Benjamín Hernández, Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David Rogers, Ulrich Schramm, Jeffrey Young, Alexander Debus:
EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Comput. Phys. Commun. 291: 108849 (2023) - Sara P. Rimer, Abhiram Mullapudi, Sara C. Troutman, Gregory Ewing, Benjamin D. Bowes, Aaron Alexander Akin, Jeffrey M. Sadler, Ruben Kertesz, Bryant McDonnell, Luis Montestruque, Jon Michael Hathaway, Jonathan L. Goodall, John Norton, Branko Kerkez:
pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms. Environ. Model. Softw. 162: 105635 (2023) - Itzy E. Morales Pantoja, Lena Smirnova, Alysson R. Muotri, Karl J. Wahlin, Jeffrey Kahn, J. Lomax Boyd, David H. Gracias, Timothy D. Harris, Tzahi Cohen-Karni, Brian S. Caffo, Alexander S. Szalay, Fang Han, Donald J. Zack, Ralph Etienne-Cummings, Akwasi Akwaboah, July Carolina Romero, Dowlette-Mary Alam El Din, Jesse D. Plotkin, Barton L. Paulhamus, Erik C. Johnson, Frederic Gilbert, J. Lowry Curley, Ben Cappiello, Jens C. Schwamborn, Eric J. Hill, Paul Roach, Daniel Tornero, Caroline Krall, Rheinallt Parri, Fenna Sillé, Andre Levchenko, Rabih E. Jabbour, Brett J. Kagan, Cynthia A. Berlinicke, Qi Huang, Alexandra Maertens, Kathrin Herrmann, Katya Tsaioun, Raha M. Dastgheyb, Christa Whelan Habela, Joshua T. Vogelstein, Thomas Hartung:
First Organoid Intelligence (OI) workshop to form an OI community. Frontiers Artif. Intell. 6 (2023) - Alexander von Lünen, Lesley Jeffries, Fransina Stradling, Hugo Sanjurjo-González, Paul Crossley:
Hansard at Huddersfield: Adapting Corpus Linguistic Methods for Non-Specialist Use. Int. J. Humanit. Arts Comput. 17(1): 25-46 (2023) - Kaitlin M. Zaki-Metias, Jeffrey J. MacLean, Alexander M. Satei, Serguei Medvedev, Huijuan Wang, Christopher C. Zarour, Paul J. Arpasi:
The FIND Program: Improving Follow-up of Incidental Imaging Findings. J. Digit. Imaging 36(3): 804-811 (2023) - Kaitlin M. Zaki-Metias, Jeffrey J. MacLean, Alexander M. Satei, Serguei Medvedev, Huijuan Wang, Christopher C. Zarour, Paul J. Arpasi:
Correction to: The FIND Program: Improving Follow-up of Incidental Imaging Findings. J. Digit. Imaging 36(6): 2662-2663 (2023) - Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - Kedan Li, Jeffrey Zhang, David A. Forsyth:
POVNet: Image-Based Virtual Try-On Through Accurate Warping and Residual. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12222-12235 (2023) - Heidi Howard, Fritz Alder, Edward Ashton, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, Antoine Delignat-Lavaud, Cédric Fournet, Andrew Jeffery, Matthew Kerner, Fotios Kounelis, Markus A. Kuppe, Julien Maffre, Mark Russinovich, Christoph M. Wintersteiger:
Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability. Proc. VLDB Endow. 17(2): 225-240 (2023)
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