| PUMA: A programmable ultra-efficient memristor-based accelerator for machine learning inference A Ankit, IE Hajj, SR Chalamalasetti, G Ndu, M Foltin, RS Williams, ... Proceedings of the twenty-fourth international conference on architectural …, 2019 | 508 | 2019 |
| Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks F Cai, S Kumar, T Van Vaerenbergh, X Sheng, R Liu, C Li, Z Liu, M Foltin, ... Nature Electronics 3 (7), 409-418, 2020 | 342 | 2020 |
| On the unimolecular fragmentation of C60+ fullerene ions: The comparison of measured and calculated breakdown patterns M Foltin, M Lezius, P Scheier, TD Märk The Journal of chemical physics 98 (12), 9624-9634, 1993 | 239 | 1993 |
| Analog content-addressable memories with memristors C Li, CE Graves, X Sheng, D Miller, M Foltin, G Pedretti, JP Strachan Nature communications 11 (1), 1638, 2020 | 176 | 2020 |
| Decision trees within a molecular memristor S Goswami, R Pramanick, A Patra, SP Rath, M Foltin, A Ariando, ... Nature 597 (7874), 51-56, 2021 | 114 | 2021 |
| Panther: A programmable architecture for neural network training harnessing energy-efficient reram A Ankit, I El Hajj, SR Chalamalasetti, S Agarwal, M Marinella, M Foltin, ... IEEE Transactions on Computers 69 (8), 1128-1142, 2020 | 101 | 2020 |
| Tree-based machine learning performed in-memory with memristive analog CAM G Pedretti, CE Graves, S Serebryakov, R Mao, X Sheng, M Foltin, C Li, ... Nature communications 12 (1), 5806, 2021 | 92 | 2021 |
| Direct Evidence for the Sequential Decay P Scheier, B Dünser, R Wörgötter, D Muigg, S Matt, O Echt, M Foltin, ... Physical review letters 77 (13), 2654, 1996 | 77 | 1996 |
| Spectroscopy of neurotransmitters and their clusters: Phenethylamine and amphetamine solvation by nonpolar, polar, and hydrogen-bonding solvents J Yao, HS Im, M Foltin, ER Bernstein The Journal of Physical Chemistry A 104 (26), 6197-6211, 2000 | 67 | 2000 |
| Memristor TCAMs accelerate regular expression matching for network intrusion detection CE Graves, C Li, X Sheng, W Ma, SR Chalamalasetti, D Miller, ... IEEE Transactions on Nanotechnology 18, 963-970, 2019 | 45 | 2019 |
| Hardware-software co-design for an analog-digital accelerator for machine learning J Ambrosi, A Ankit, R Antunes, SR Chalamalasetti, S Chatterjee, I El Hajj, ... 2018 IEEE International Conference on Rebooting Computing (ICRC), 1-13, 2018 | 43 | 2018 |
| Workflows community summit 2022: A roadmap revolution RF Da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ... arXiv preprint arXiv:2304.00019, 2023 | 37 | 2023 |
| Dynamics of neutral cluster growth and cluster ion fragmentation for toluene/water, aniline/argon, and 4-fluorostyrene/argon clusters: Covariance mapping of the mass spectral data M Foltin, GJ Stueber, ER Bernstein The Journal of chemical physics 109 (11), 4342-4360, 1998 | 35 | 1998 |
| On the transitions of expansion cooled silver halides GJ Stueber, M Foltin, ER Bernstein The Journal of chemical physics 109 (22), 9831-9842, 1998 | 23 | 1998 |
| Gas phase antimony/magnesium/oxygen clusters HT Deng, Y Okada, M Foltin, AWJ Castleman The Journal of Physical Chemistry 98 (37), 9350-9353, 1994 | 21 | 1994 |
| Differentiable content addressable memory with memristors G Pedretti, CE Graves, T Van Vaerenbergh, S Serebryakov, M Foltin, ... Advanced electronic materials 8 (8), 2101198, 2022 | 20 | 2022 |
| Efficient stimulus independent timing abstraction model based on a new concept of circuit block transparency M Foltin, B Foutz, S Tyler Proceedings of the 39th annual Design Automation Conference, 158-163, 2002 | 16 | 2002 |
| Llm-guided counterfactual data generation for fairer ai A Mishra, G Nayak, S Bhattacharya, T Kumar, A Shah, M Foltin Companion Proceedings of the ACM Web Conference 2024, 1538-1545, 2024 | 12 | 2024 |
| Regular expression matching with memristor TCAMs for network security CE Graves, W Ma, X Sheng, B Buchanan, L Zheng, ST Lam, X Li, ... Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale …, 2018 | 11 | 2018 |
| X-time: An in-memory engine for accelerating machine learning on tabular data with cams G Pedretti, J Moon, P Bruel, S Serebryakov, RM Roth, L Buonanno, ... arXiv preprint arXiv:2304.01285, 2023 | 10 | 2023 |
