| Combinatorial polyacrylamide hydrogels for preventing biofouling on implantable biosensors D Chan, JC Chien, E Axpe, L Blankemeier, SW Baker, S Swaminathan, ... Advanced Materials 34 (24), 2109764, 2022 | 125 | 2022 |
| Detectors for safe and reliable llms: Implementations, uses, and limitations S Achintalwar, AA Garcia, A Anaby-Tavor, I Baldini, SE Berger, ... arXiv preprint arXiv:2403.06009, 2024 | 16 | 2024 |
| Larimar: Large language models with episodic memory control P Das, S Chaudhury, E Nelson, I Melnyk, S Swaminathan, S Dai, ... arXiv preprint arXiv:2403.11901, 2024 | 13 | 2024 |
| A unified view of localized kernel learning J Moeller, S Swaminathan, S Venkatasubramanian Proceedings of the 2016 SIAM International Conference on Data Mining, 252-260, 2016 | 13 | 2016 |
| Continuous kernel learning J Moeller, V Srikumar, S Swaminathan, S Venkatasubramanian, D Webb Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 11 | 2016 |
| Language models in molecular discovery N Janakarajan, T Erdmann, S Swaminathan, T Laino, J Born Drug Development Supported by Informatics, 121-141, 2024 | 10 | 2024 |
| X-factor: A cross-metric evaluation of factual correctness in abstractive summarization S Chaudhury, S Swaminathan, C Gunasekara, M Crouse, S Ravishankar, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 9 | 2022 |
| Learning symbolic rules over abstract meaning representations for textual reinforcement learning S Chaudhury, S Swaminathan, D Kimura, P Sen, K Murugesan, ... arXiv preprint arXiv:2307.02689, 2023 | 8 | 2023 |
| Pgt: a prompt based generative transformer for the patent domain D Christofidellis, AB Torres, A Dave, M Roveri, K Schmidt, S Swaminathan, ... ICML 2022 Workshop on Knowledge Retrieval and Language Models, 2022 | 8 | 2022 |
| Jirí, Navrátil, Soham Dan, and Pin-Yu Chen. 2024. Larimar: Large language models with episodic memory control P Das, S Chaudhury, E Nelson, I Melnyk, S Swaminathan, S Dai, ... Preprint, 0 | 4 | |
| A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making C Subramanian, M Liu, N Khan, J Lenchner, A Amarnath, S Swaminathan, ... arXiv preprint arXiv:2402.13440, 2024 | 3 | 2024 |
| MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types K Murugesan, S Swaminathan, S Dan, S Chaudhury, C Gunasekara, ... arXiv preprint arXiv:2306.10452, 2023 | 3 | 2023 |
| A recommender system for antimicrobial resistance S Swaminathan, DY Zubarev, M Kunitomi 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 3 | 2019 |
| Granite 3.0 Language Models IBM Granite Team | 2 | 2024 |
| Rapid Strain Differentiation of E. coli-inoculated Urine Using Olfactory-based Smart Sensors A Adebiyi, N Than, S Swaminathan, M Abdi, AN Bowers, A Fasoli, ... SEIA'2019 Conference Proceedings, 307, 2020 | 2 | 2020 |
| Audience validation in online media using limited behavioral data and demographic mix W Kar, S Swaminathan, V Swaminathan International Journal of Semantic Computing 11 (01), 5-20, 2017 | 2 | 2017 |
| Audience Validation from Demographic Mix and Insufficient Individual Data W Kar, S Swaminathan, V Swaminathan 2016 IEEE International Symposium on Multimedia (ISM), 60-64, 2016 | 2 | 2016 |
| A Grounded Preference Model for LLM Alignment T Naseem, G Xu, S Swaminathan, A Yehudai, S Chaudhury, R Florian, ... Findings of the Association for Computational Linguistics ACL 2024, 151-162, 2024 | 1 | 2024 |
| ChemChat| Conversational Expert Assistant in Material Science and Data Visualization T Erdmann, S Swaminathan, S Zecevic, B Ransom, N Park APS March Meeting Abstracts 2024, A18. 006, 2024 | 1 | 2024 |
| Generating control settings for a chemical reactor D Zubarev, VA Piunova, NH Park, JL Hedrick, S Swaminathan US Patent 11,520,310, 2022 | 1 | 2022 |
Dmitry ZubarevHarvard UniversityVerified email at fas.harvard.edu
