- Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. FAccT 2023: 1213-1228 - Mingzhi Lyu, Yi Huang, Adams Wai-Kin Kong:
Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers. ACM Multimedia 2023: 8396-8405 - Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu:
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. NeurIPS 2023 - Georg Rademacher, Menno van den Hout, Ruben S. Luís, Benjamin J. Puttnam, Giammarco Di Sciullo, Tetsuya Hayashi, Ayumi Inoue, Takuji Nagashima, Simon Gross, Andrew Ross-Adams, Michael J. Withford, Jun Sakaguchi, Cristian Antonelli, Chigo Okonkwo, Hideaki Furukawa:
Randomly Coupled 19-Core Multi-Core Fiber with Standard Cladding Diameter. OFC 2023: 1-3 - Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang:
IoPV: On Inconsistent Option Performance Variations. ESEC/SIGSOFT FSE 2023: 845-857 - Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao:
The Monocular Depth Estimation Challenge. WACV (Workshops) 2023: 623-632 - Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR abs/2303.08179 (2023) - Md. Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader, Phillip T. Yang, Sangwu Lee, Jamie L. Adams, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque:
Using AI to Measure Parkinson's Disease Severity at Home. CoRR abs/2303.17573 (2023) - Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao:
The Second Monocular Depth Estimation Challenge. CoRR abs/2304.07051 (2023) - Kathryn Wantlin, Chenwei Wu, Shih-Cheng Huang, Oishi Banerjee, Farah Dadabhoy, Veeral Vipin Mehta, Ryan Wonhee Han, Fang Cao, Raja R. Narayan, Errol Colak, Adewole S. Adamson, Laura Heacock, Geoffrey H. Tison, Alex Tamkin, Pranav Rajpurkar:
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors. CoRR abs/2304.08486 (2023) - Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu:
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. CoRR abs/2305.10429 (2023) - Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. CoRR abs/2306.00025 (2023) - Rasha U. Abbasi, M. Ackermann, Jenni Adams, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, A. A. Alves Jr., N. M. Amin, K. Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., Steven W. Barwick, Vedant Basu, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, M. Boddenberg, F. Bontempo, J. Y. Book, J. Borowka, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, Federica Bradascio, J. Braun, B. Brinson, Stephanie Bron, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, Janet Marie Conrad, et al.:
Observation of high-energy neutrinos from the Galactic plane. CoRR abs/2307.04427 (2023) - Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - Julie A. Adams, Joshua Hamell, Phillip M. Walker:
Can A Single Human Supervise A Swarm of 100 Heterogeneous Robots? CoRR abs/2308.00102 (2023) - Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah:
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR abs/2308.14089 (2023) - Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang:
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR abs/2310.00115 (2023) - Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou:
Large Language Models Cannot Self-Correct Reasoning Yet. CoRR abs/2310.01798 (2023) - Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst:
Discovering High-Quality Process Models Despite Data Scarcity. CoRR abs/2310.11332 (2023) - Matt Canute, Mali Jin, hannah holtzclaw, Alberto Lusoli, Philippa R. Adams, Mugdha Pandya, Maite Taboada, Diana Maynard, Wendy Hui Kyong Chun:
Dimensions of Online Conflict: Towards Modeling Agonism. CoRR abs/2311.03584 (2023) - Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias:
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI. CoRR abs/2312.05119 (2023) - 2022
- Björn Adebahr, R. Schulz, Tammo Jan Dijkema, V. A. Moss, André R. Offringa, A. Kutkin, Jan M. van der Hülst, B. S. Frank, N. P. E. Vilchez, Joris Verstappen, Elizabeth A. K. Adams, W. J. G. de Blok, Helga Denes, Kelley M. Hess, D. Lucero, Raffaella Morganti, Tom Oosterloo, D.-J. Pisano, Marianna V. Ivashina, W. A. van Cappellen, L. D. Connor, A. H. W. M. Coolen, S. Damstra, G. Marcel Loose, Y. Maan, F. M. Maccagni, A. Mika, H. Mulder, Leon C. Oostrum, E. Orrú, R. Smits, D. van der Schuur, Joeri van Leeuwen, Dany Vohl, Stefan J. Wijnholds, J. Ziemke:
Apercal - The Apertif calibration pipeline. Astron. Comput. 38: 100514 (2022) - Siyu Han, Jialing Huang, Francesco Foppiano, Cornelia Prehn, Jerzy Adamski, Karsten Suhre, Ying Li, Giuseppe Matullo, Freimut Schliess, Christian Gieger, Annette Peters, Rui Wang-Sattler:
TIGER: technical variation elimination for metabolomics data using ensemble learning architecture. Briefings Bioinform. 23(2) (2022) - Luca Barbon, Victoria Offord, Elizabeth J. Radford, Adam P. Butler, Sebastian S. Gerety, David J. Adams, Hong Kee Tan, Andrew J. Waters:
Variant Library Annotation Tool (VaLiAnT): an oligonucleotide library design and annotation tool for saturation genome editing and other deep mutational scanning experiments. Bioinform. 38(4): 892-899 (2022) - Nils Hoppe, Josef M. Winter, Stefan Adami, Nikolaus A. Adams:
ALPACA - a level-set based sharp-interface multiresolution solver for conservation laws. Comput. Phys. Commun. 272: 108246 (2022) - Anjalie Schlaeppi, Wilson Adams, Robert Haase, Jan Huisken, Ryan B. Macdonald, Kevin W. Eliceiri, Elisabeth Kugler:
Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration. Frontiers Bioinform. 2 (2022) - Jessica Nicosia, Andrew J. Aschenbrenner, Sarah L. Adams, Marisol Tahan, Sarah H. Stout, Hannah Wilks, Joyce E. Balls-Berry, John C. Morris, Jason Hassenstab:
Bridging the Technological Divide: Stigmas and Challenges With Technology in Digital Brain Health Studies of Older Adults. Frontiers Digit. Health 4: 880055 (2022) - Zhen Deng, Shuhao Hu, Shibai Yin, Yibin Wang, Anup Basu, Irene Cheng:
Multi-step implicit Adams predictor-corrector network for fire detection. IET Image Process. 16(9): 2338-2350 (2022) - Henry Adams, Sophia Coldren, Sean Willmot:
The Persistent Homology of Cyclic Graphs. Int. J. Comput. Geom. Appl. 32(1&2): 1-37 (2022) - Guangchuan Li, Mengcheng Wang, Federico Arippa, Alan Barr, David Rempel, Yue Liu, Carisa Harris-Adamson:
Professional and High-Level Gamers: Differences in Performance, Muscle Activity, and Hand Kinematics for Different Mice. Int. J. Hum. Comput. Interact. 38(8): 691-706 (2022)