Arvind Ramanathan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
13
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICMLA | Attr-RAG: Attribution-Guided Retrieval-Augmented Generation for Scientific Experiment Design. | Fazle Rahat, M. Shifat Hossain, Arvind Ramanathan, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz |
| 2025 | SC | Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models. | Ozan Gkdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens |
| 2025 | SC | LangChain-Parsl: Connect Large Language Model Agents to High Performance Computing Resource. | Heng Ma, Alexander Brace, Carlo Siebenschuh, Ian T. Foster, Arvind Ramanathan |
| 2024 | ICML | Equivariant Graph Neural Operator for Modeling 3D Dynamics. | Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar |
| 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 | ICMLA | Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. | Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu |
| 2023 | SC | Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. | Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster |
| 2023 | SC | Protein Generation via Genome-scale Language Models with Bio-physical Scoring. | Gautham Dharuman, Arvind Ramanathan |
| 2023 | SC | Scalable Lead Prediction with Transformers using HPC resources. | Archit Vasan, Thomas S. Brettin, Rick Stevens, Arvind Ramanathan, Venkatram Vishwanath |
| 2022 | AAAI | Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations. | Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha |
| 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 | KDD | The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). | Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodrguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash |
| 2021 | MICCAI | Prototypical Models for Classifying High-Risk Atypical Breast Lesions. | Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Rebekah Jenkins, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun, Jeffrey L. Fine, S. Chakra Chennubhotla |
| 2020 | MICCAI | Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions. | Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun, Jeffrey L. Fine, S. Chakra Chennubhotla |
| 2019 | SC | DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. | Hyungro Lee, Matteo Turilli, Shantenu Jha, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan |
| 2018 | SBAC-PAD | HyperSpace: Distributed Bayesian Hyperparameter Optimization. | M. Todd Young, Jacob D. Hinkle, Arvind Ramanathan, Ramakrishnan Kannan |
| 2017 | EMSOFT | Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress. | Sunny Raj, Sumit Kumar Jha, Arvind Ramanathan, Laura L. Pullum |
| 2017 | ICDM | Data-Driven Immunization. | Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash |
| 2016 | DATE | Integrating symbolic and statistical methods for testing intelligent systems: Applications to machine learning and computer vision. | Arvind Ramanathan, Laura L. Pullum, Faraz Hussain, Dwaipayan Chakrabarty, Sumit Kumar Jha |
| 2012 | PSB | Quasi-Anharmonic Analysis Reveals Intermediate States in the Nuclear Co-Activator Receptor Binding Domain Ensemble. | Virginia M. Burger, Arvind Ramanathan, Andrej J. Savol, Christopher B. Stanley, Pratul K. Agarwal, Chakra S. Chennubhotla |
| 2009 | RECOMB | An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations. | Arvind Ramanathan, Pratul K. Agarwal, Maria G. Kurnikova, Christopher James Langmead |