| Marius: Learning massive graph embeddings on a single machine J Mohoney, R Waleffe, H Xu, T Rekatsinas, S Venkataraman 15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021 | 66 | 2021 |
| Mariusgnn: Resource-efficient out-of-core training of graph neural networks R Waleffe, J Mohoney, T Rekatsinas, S Venkataraman Proceedings of the Eighteenth European Conference on Computer Systems, 144-161, 2023 | 43* | 2023 |
| An Empirical Study of Mamba-based Language Models R Waleffe, W Byeon, D Riach, B Norick, V Korthikanti, T Dao, A Gu, ... arXiv preprint arXiv:2406.07887, 2024 | 12 | 2024 |
| A laboratory model for the Parker spiral and magnetized stellar winds EE Peterson, DA Endrizzi, M Beidler, KJ Bunkers, M Clark, J Egedal, ... Nature Physics 15 (10), 1095-1100, 2019 | 11 | 2019 |
| Principal Component Networks: Utilizing Low-Rank Activation Structure to Reduce Parameters Early in Training R Waleffe, T Rekatsinas ACM/JMS Journal of Data Science 1 (2), 1-27, 2024 | 9* | 2024 |
| Chameleon: a heterogeneous and disaggregated accelerator system for retrieval-augmented language models W Jiang, M Zeller, R Waleffe, T Hoefler, G Alonso arXiv preprint arXiv:2310.09949, 2023 | 8 | 2023 |
| Engineering nonlinear epileptic biomarkers using deep learning and Benford’s law J Caffarini, K Gjini, B Sevak, R Waleffe, M Kalkach-Aparicio, M Boly, ... Scientific reports 12 (1), 5397, 2022 | 8 | 2022 |
| Repeated random sampling for minimizing the time-to-accuracy of learning P Okanovic, R Waleffe, V Mageirakos, KE Nikolakakis, A Karbasi, ... arXiv preprint arXiv:2305.18424, 2023 | 5 | 2023 |
| Demo of marius: a system for large-scale graph embeddings A Xie, A Carlsson, J Mohoney, R Waleffe, S Peters, T Rekatsinas, ... Proceedings of the VLDB Endowment 14 (12), 2759-2762, 2021 | 5 | 2021 |
| GraphSnapShot: Graph Machine Learning Acceleration with Fast Storage and Retrieval D Liu, R Waleffe, M Jiang, S Venkataraman arXiv preprint arXiv:2406.17918, 2024 | | 2024 |
| ACM/IMS W Miao, L Liu, Y Li, EJT Tchetgen, Z Geng, L Zhou, F Koehler, ... | | 2024 |
| Improved Generalization for Image Classification Through Memorization Mid-term Report R Waleffe, J Mohoney | | 2021 |
| Improved Generalization for Image Classification Through Memorization R Waleffe, J Mohoney | | 2021 |
| Investigation of magnetic mirror configurations at the WiPPL facility and their applications R Waleffe, E Peterson, J Anderson, M Clark, J Wallace, C Forest APS Division of Plasma Physics Meeting Abstracts 2018, CP11. 152, 2018 | | 2018 |
| Development of an axisymmetric mirror-based neutron source using recent advances in technology J Anderson, C Forest, J Egedal, V Mirnov, E Peterson, J Sarff, J Wallace, ... APS Division of Plasma Physics Meeting Abstracts 2018, CP11. 151, 2018 | | 2018 |
| Driving magnetic turbulence using flux ropes in a moderate guide field linear system MI Brookhart, A Stemo, R Waleffe, CB Forest Journal of Plasma Physics 83 (6), 905830604, 2017 | | 2017 |
| Stability of an axisymmetric, non-paraxial mirror and its applications for a fusion neutron source R Waleffe, E Peterson, V Mirnov, C Forest APS Division of Plasma Physics Meeting Abstracts 2017, JP11. 056, 2017 | | 2017 |
| Equilibrium and Stability Properties of Low Aspect Ratio Mirror Systems: from Neutron Source Design to the Parker Spiral E Peterson, J Anderson, M Clark, J Egedal, D Endrizzi, K Flanagan, ... APS Division of Plasma Physics Meeting Abstracts 2017, NP11. 176, 2017 | | 2017 |
| Investigating the Formation and Sub-Structure of Unmagnetized Collisionless Shocks D Endrizzi, J Egedal, C Forest, S Greess, A Millet-Ayala, J Olson, A Ready, ... APS Division of Plasma Physics Meeting Abstracts 2017, PP11. 131, 2017 | | 2017 |
| Energy Transformation between Forms in the Big Red Ball C Forest, M Clark, J Egedal, D Endrizzi, K Flanagan, S Greese, J Milhone, ... APS Division of Plasma Physics Meeting Abstracts 2017, UM9. 002, 2017 | | 2017 |
