| The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts R Tran, J Lan, M Shuaibi, BM Wood, S Goyal, A Das, J Heras-Domingo, ... ACS Catalysis 13 (5), 3066-3084, 2023 | 152 | 2023 |
| Open challenges in developing generalizable large-scale machine-learning models for catalyst discovery A Kolluru, M Shuaibi, A Palizhati, N Shoghi, A Das, B Wood, CL Zitnick, ... ACS Catalysis 12 (14), 8572-8581, 2022 | 46 | 2022 |
| Quantifying the design-space tradeoffs in autonomous drones R Hadidi, B Asgari, S Jijina, A Amyette, N Shoghi, H Kim Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 34 | 2021 |
| Transfer learning using attentions across atomic systems with graph neural networks (TAAG) A Kolluru, N Shoghi, M Shuaibi, S Goyal, A Das, CL Zitnick, Z Ulissi The Journal of Chemical Physics 156 (18), 2022 | 32 | 2022 |
| Pisces: power-aware implementation of slam by customizing efficient sparse algebra B Asgari, R Hadidi, NS Ghaleshahi, H Kim 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 29 | 2020 |
| From molecules to materials: Pre-training large generalizable models for atomic property prediction N Shoghi, A Kolluru, JR Kitchin, ZW Ulissi, CL Zitnick, BM Wood International Conference on Learning Representations, 2024 | 26 | 2024 |
| Understanding the software and hardware stacks of a general-purpose cognitive drone S Jijina, A Amyette, N Shoghi, R Hadidi, H Kim 2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020 | 8 | 2020 |
| SmaQ: Smart quantization for DNN training by exploiting value clustering N Shoghi, A Bersatti, M Qureshi, H Kim IEEE Computer Architecture Letters 20 (2), 126-129, 2021 | 3 | 2021 |
| Neural network weight compression with nnw-bdi A Bersatti, N Shoghi Ghalehshahi, H Kim Proceedings of the International Symposium on Memory Systems, 335-340, 2020 | 2 | 2020 |
| Slam performance on embedded robots NS Ghalehshahi, R Hadidi, H Kim Student Research Competition at Embedded System Week (SRC ESWEEK), 2019 | 2 | 2019 |
| Distribution Learning for Molecular Regression N Shoghi, P Shoghi, A Sriram, A Das arXiv preprint arXiv:2407.20475, 2024 | | 2024 |
| Context-Aware Task Handling in Resource-Constrained Robots with Virtualization R Hadidi, NS Ghaleshahi, B Asgari, H Kim 2023 IEEE International Conference on Edge Computing and Communications …, 2023 | | 2023 |
| Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems NS Ghalehshahi, R Hadidi, L Jaewon, J Chen, A Siqueria, R Rajan, ... arXiv preprint arXiv:2011.08936, 2020 | | 2020 |
