Rick Stevens
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
1994–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | BioR5: A Three-Layer Architecture for Biological Reasoning in Scientific AI. | Peng Ding, Thomas S. Brettin, Rick Stevens |
| 2025 | SC | A Workflow for Error Analysis for Drug Response Prediction via Statistical Standardization and Distribution Analysis. | Jake Gwinn, Justin M. Wozniak, Rajeev Jain, Yitan Zhu, Alexander Partin, Thomas S. Brettin, Rick Stevens |
| 2024 | ICLR | Blending Imitation and Reinforcement Learning for Robust Policy Improvement. | Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew R. Walter, Yuxin Chen |
| 2024 | SC | MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. | Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Vin Hatanp, Varuni K. Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan |
| 2023 | SC | Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. | Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens |
| 2023 | SC | Scalable Lead Prediction with Transformers using HPC resources. | Archit Vasan, Thomas S. Brettin, Rick Stevens, Arvind Ramanathan, Venkatram Vishwanath |
| 2021 | ICPP | IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. | Aymen Al Saadi, Dario Alf, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, Andr Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin |
| 2021 | SC | AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data. | Romain gel, Prasanna Balaprakash, Isabelle Guyon, Venkatram Vishwanath, Fangfang Xia, Rick Stevens, Zhengying Liu |
| 2020 | SC | High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. | Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens |
| 2019 | ICPP | Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. | Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia |
| 2019 | SC | Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. | Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens |
| 2018 | SC | Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies. | George F. Zaki, Justin M. Wozniak, Jonathan Ozik, Nicholson T. Collier, Thomas S. Brettin, Rick Stevens |
| 2017 | HPDC | Deep Learning in Cancer and Infectious Disease: Novel Driver Problems for Future HPC Architecture. | Rick Stevens |
| 2009 | ESANN | Oscillation in a network model of neocortex. | Wim van Drongelen, Hyong Lee, Amber Martell, Jennifer Dwyer, Rick Stevens, Mark Hereld |
| 2002 | VRST | LAM: luminance attenuation map for photometric uniformity in projection based displays. | Aditi Majumder, Rick Stevens |
| 1995 | SC | Distributed Information Management in the National HPCC Software Exchange. | Shirley Browne, Jack J. Dongarra, Geoffrey C. Fox, Kenneth A. Hawick, Ken Kennedy, Rick Stevens, Robert Olson, Tom Rowan |
| 1994 | HPDC | Multimedia Supercomputing: The Use of Supercomputers to Drive High-Performance Multimedia Systems and Virtual Environments. | Rick Stevens |