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- John C. Mitchell
Stanford University, Department of Computer Science, USA
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Publication search results
found 559 matches
- 2024
- Daniel Kosmas, Thomas C. Sharkey, John E. Mitchell, Kayse Lee Maass, Lauren Martin:
Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks. Ann. Oper. Res. 335(2): 797-860 (2024) - René F. Kizilcec, John C. Mitchell:
Remote Learning and Work. IEEE Internet Comput. 28(1): 7-9 (2024) - She'ifa Z. Punla-Green, John E. Mitchell, Jared L. Gearhart, William E. Hart, Cynthia A. Phillips:
Shortest path network interdiction with asymmetric uncertainty. Networks 83(3): 605-623 (2024) - Evelyn Kim, Sunny Fugate, Christian Lebiere, Aidan Barbieux, Jonathan Buch, Jaehoon Cho, Edward A. Cranford, Joseph DiVita, Jeremy Johnson, Mia Levy, Froylan Maldonado, Brianna Marsh, Donald Morrison, Jocelyn Rego, Mitchell Sayer, Alex Waagen, Rajan Bhattacharyya:
CAVA: Cognitive Aid for Vulnerability Analysis. HICSS 2024: 7377-7386 - Sierra Wang, John C. Mitchell, Nick Haber, Chris Piech:
Math IDE: A Platform for Creating with Math. SIGCSE (2) 2024: 1844-1845 - Sierra Wang, John C. Mitchell, Chris Piech:
A Large Scale RCT on Effective Error Messages in CS1. SIGCSE (1) 2024: 1395-1401 - Yasar C. Kakdas, Doga Demirel, Jacob R. Barker, Tansel Halic, Jeffrey Keane, John Mitchell, Stephanie Jones, Daniel B. Jones, Suvranu De, Cullen D. Jackson:
Virtual Reality-Based Donning and Doffing Simulator. VR Workshops 2024: 214-222 - Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - Ali Kavoosi, Morgan P. Mitchell, Raveen Kariyawasam, John E. Fleming, Penny Lewis, Heidi Johansen-Berg, Hayriye Cagnan, Timothy Denison:
MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems. CoRR abs/2401.10284 (2024) - Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang, Archana Ahlawat, Anupam Datta, John C. Mitchell:
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning. CoRR abs/2402.04489 (2024) - Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S. Bernstein, John C. Mitchell:
Social Skill Training with Large Language Models. CoRR abs/2404.04204 (2024) - 2023
- Michael P. Castellani, Timothy P. Rioux, John W. Castellani, Mitchell D. Reed, Stefanie Whalen, Monica Cisternelli, Grace Python, Marion J. Lewandowski, Xiaojiang Xu:
Validation of a human thermoregulatory model during prolonged immersion in warm water. Comput. Biol. Medicine 167: 107575 (2023) - Daniel Kosmas, Thomas C. Sharkey, John E. Mitchell, Kayse Lee Maass, Lauren Martin:
Interdicting restructuring networks with applications in illicit trafficking. Eur. J. Oper. Res. 308(2): 832-851 (2023) - Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6(1): 1-52 (2023) - Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - Florentin Michel Jacques Bulot, Hugo Savill Russell, Mohsen Rezaei, Matthew Stanley Johnson, Steven James Johnston Ossont, Andrew Kevin Richard Morris, Philip James Basford, Natasha Hazel Celeste Easton, Hazel Louise Mitchell, Gavin Lee Foster, Matthew Loxham, Simon James Cox:
Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution - Part B - Particle Number Concentrations. Sensors 23(17): 7657 (2023) - John E. Mitchell, Lisa Benson:
In Memoriam Prof. Jeffrey E. Froyd. IEEE Trans. Educ. 66(1): 2-3 (2023) - Ryan S. Tulabing, Brian C. Mitchell, Grant A. Covic, John T. Boys:
Localized Demand Control of Flexible Devices for Peak Load Management. IEEE Trans. Smart Grid 14(1): 217-227 (2023) - Michelle Barakat-Johnson, Badia Kita, Aaron Jones, Mitchell Burger, David Airey, John Stephenson, Thomas Leong, Jana Pinkova, Georgina Frank, Natalie Ko, Andrea Kirk, Astrid Frotjold, Kate White, Fiona Coyer:
The Viability and Acceptability of a Virtual Wound Care Command Centre in Australia. MedInfo 2023: 379-383 - Michelle Barakat-Johnson, Aaron Jones, Mitchell Burger, Thomas Leong, Astrid Frotjold, Sue Randall, Judith Fethney, Fiona Coyer:
Reshaping Wound Care: Evaluation of an Artificial Intelligence App to Improve Wound Assessment and Management. MedInfo 2023: 941-945 - Ibrahima Diouf, John Grimes, Mitchell J. O'Brien, Hamed Hassanzadeh, Donna Truran, Hoa Ngo, Parnesh Raniga, Michael Lawley, Denis C. Bauer, David P. Hansen, Sankalp Khanna, Roc Reguant:
An Approach for Generating Realistic Australian Synthetic Healthcare Data. MedInfo 2023: 820-824 - Charis Charitsis, Chris Piech, John C. Mitchell:
Detecting the Reasons for Program Decomposition in CS1 and Evaluating Their Impact. SIGCSE (1) 2023: 1014-1020 - Ali Kavoosi, Morgan P. Mitchell, Raveen Kariyawasam, John E. Fleming, Penny Lewis, Heidi Johansen-Berg, Hayriye Cagnan, Timothy Denison:
MorpheusNet: Resource Efficient Sleep Stage Classifier for Embedded On-Line Systems. SMC 2023: 2315-2320 - Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. CoRR abs/2308.14840 (2023) - Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR abs/2309.00903 (2023) - Nicholas Mosier, Hamed Nemati, John C. Mitchell, Caroline Trippel:
Serberus: Protecting Cryptographic Code from Spectres at Compile-Time. CoRR abs/2309.05174 (2023) - Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie Everett, Alex Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith:
Small-scale proxies for large-scale Transformer training instabilities. CoRR abs/2309.14322 (2023) - Peter K. Eastman, Raimondas Galvelis, Raúl P. Peláez, Charlles R. A. Abreu, Stephen E. Farr, Emilio Gallicchio, Anton Gorenko, Michael M. Henry, Frank Hu, Jing Huang, Andreas Krämer, Julien Michel, Joshua A. Mitchell, Vijay S. Pande, João P. G. L. M. Rodrigues, Jaime Rodríguez-Guerra, Andrew C. Simmonett, Jason M. Swails, Ivy Zhang, John D. Chodera, Gianni De Fabritiis, Thomas E. Markland:
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. CoRR abs/2310.03121 (2023) - 2022
- Amanda Lans, Robertus J. B. Pierik, John R. Bales, Mitchell S. Fourman, David Shin, Laura N. Kanbier, Jack Rifkin, William H. DiGiovanni, Rohan R. Chopra, Rana Moeinzad, Jorrit-Jan Verlaan, Joseph H. Schwab:
Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review. Artif. Intell. Medicine 132: 102396 (2022)
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