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Author search results
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- Benjamin Goldstein 0001
aka: Benjamin Alan Goldstein
Duke University, Department of Biomedical Engineering, Durham, NC, USA - Brunno F. Goldstein
aka: Brunno Figueiroa Goldstein - Brahm Goldstein
- David B. Goldstein
- Boris Goldstein
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Publication search results
found 657 matches
- 2024
- O. J. Charles, C. Venturini, R. A. Goldstein, J. Breuer:
HerpesDRG: a comprehensive resource for human herpesvirus antiviral drug resistance genotyping. BMC Bioinform. 25(1): 279 (2024) - Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112: 102327 (2024) - Bianica Pires, Joshua Goldstein, Emily Molfino, Kathryn Ziemer, Mark G. Orr, José Jiménez:
Knowledge sharing in a dynamic, multi-level organization: an agent-based modeling approach. Comput. Math. Organ. Theory 30(1): 75-100 (2024) - Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon:
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. J. Am. Medical Informatics Assoc. 31(3): 705-713 (2024) - Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein:
A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics 157: 104711 (2024) - Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein:
Incorporating informatively collected laboratory data from EHR in clinical prediction models. BMC Medical Informatics Decis. Mak. 24(4): 206 (2024) - Hilah Geva, Ohad Barzilay, Anat Goldstein, Gal Oestreicher-Singer:
Equal Opportunity for All? The Long Tail of Crowdfunding: Evidence from Kickstarter. MIS Q. 48(3): 1223-1238 (2024) - Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann, Shalini Moningi, Jack M. Qian, Madeleine Goldstein, Susan Harper, Hugo J. W. L. Aerts, Paul J. Catalano, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Large language models to identify social determinants of health in electronic health records. npj Digit. Medicine 7(1) (2024) - Joseph W. Cutler, Christopher Watson, Emeka Nkurumeh, Phillip Hilliard, Harrison Goldstein, Caleb Stanford, Benjamin C. Pierce:
Stream Types. Proc. ACM Program. Lang. 8(PLDI): 1412-1436 (2024) - Iavor S. Diatchki, Mike Dodds, Harrison Goldstein, Bill Harris, David A. Holland, Benoît Razet, Cole Schlesinger, Simon Winwood:
Daedalus: Safer Document Parsing. Proc. ACM Program. Lang. 8(PLDI): 816-840 (2024) - Bon Adriel Aseniero, Michael Lee, Yi Wang, Qian Zhou, Nastaran Shahmansouri, Rhys Goldstein:
Experiential Views: Towards Human Experience Evaluation of Designed Spaces using Vision-Language Models. CHI Extended Abstracts 2024: 136:1-136:7 - Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim:
Object Recognition as Next Token Prediction. CVPR 2024: 16645-16656 - Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Universal Guidance for Diffusion Models. ICLR 2024 - Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein:
NEFTune: Noisy Embeddings Improve Instruction Finetuning. ICLR 2024 - Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic Interpolants with Data-Dependent Couplings. ICML 2024 - Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024 - Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. ICML 2024 - Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. ICML 2024 - Meng Xia, Jonathan Wilson, Benjamin Goldstein, Ricardo Henao:
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources. ICML 2024 - Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, Andrew Head:
Property-Based Testing in Practice. ICSE 2024: 187:1-187:13 - Amit Dikshit, Jin Wallner, M. Jobayer Hossain, M. Rakib Uddin, Javery Mann, Anthony Aiello, Lewis G. Carpenter, Yukta Timalsina, Colin McDonough, Nick Fahrenkopf, Gerald Leake, Christopher Baiocco, Christopher Striemer, Maria Halepis, Daniel Coleman, Amir Begovic, Hao Yang, Michael Zylstra, Jerome Jahn, Jordan Goldstein, Christopher V. Poulton, Todd H. Stievater, Nathan F. Tyndall, Michael Fanto, David Harame:
AIM Photonics Design Enablement: A Design-Assembly-Test Platform Advancing the Silicon-Photonics Ecosystem. OFC 2024: 1-3 - Harrison Goldstein, Jeffrey Tao, Zac Hatfield-Dodds, Benjamin C. Pierce, Andrew Head:
Tyche: Making Sense of PBT Effectiveness. UIST 2024: 10:1-10:16 - Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
Benchmarking the Robustness of Image Watermarks. CoRR abs/2401.08573 (2024) - Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie:
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers. CoRR abs/2401.08740 (2024) - David Thulke, Yingbo Gao, Petrus Pelser, Rein Brune, Rricha Jalota, Floris Fok, Michael Ramos, Ian van Wyk, Abdallah Nasir, Hayden Goldstein, Taylor Tragemann, Katie Nguyen, Ariana Fowler, Andrew Stanco, Jon Gabriel, Jordan Taylor, Dean Moro, Evgenii Tsymbalov, Juliette de Waal, Evgeny Matusov, Mudar Yaghi, Mohammad Shihadah, Hermann Ney, Christian Dugast, Jonathan Dotan, Daniel Erasmus:
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change. CoRR abs/2401.09646 (2024) - Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. CoRR abs/2402.07319 (2024) - Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. CoRR abs/2403.13724 (2024) - Hossein Souri, Arpit Bansal, Hamid Kazemi, Liam Fowl, Aniruddha Saha, Jonas Geiping, Andrew Gordon Wilson, Rama Chellappa, Tom Goldstein, Micah Goldblum:
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion. CoRR abs/2403.16365 (2024) - Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika:
The Ethics of Advanced AI Assistants. CoRR abs/2404.16244 (2024)
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