| MMTM: Multimodal transfer module for CNN fusion HRV Joze, A Shaban, ML Iuzzolino, K Koishida Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 271 | 2020 |
| Wandering within a world: Online contextualized few-shot learning M Ren, ML Iuzzolino, MC Mozer, RS Zemel arXiv preprint arXiv:2007.04546, 2020 | 35 | 2020 |
| Flow-mediated olfactory communication in honeybee swarms DMT Nguyen, ML Iuzzolino, A Mankel, K Bozek, GJ Stephens, O Peleg Proceedings of the National Academy of Sciences 118 (13), e2011916118, 2021 | 23 | 2021 |
| Virtual-to-real-world transfer learning for robots on wilderness trails ML Iuzzolino, ME Walker, D Szafir 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 18 | 2018 |
| AV(SE)2: Audio-Visual Squeeze-Excite Speech Enhancement ML Iuzzolino, K Koishida ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 17 | 2020 |
| Improving anytime prediction with parallel cascaded networks and a temporal-difference loss M Iuzzolino, MC Mozer, S Bengio Advances in Neural Information Processing Systems 34, 27631-27644, 2021 | 11 | 2021 |
| Convolutional bipartite attractor networks M Iuzzolino, Y Singer, MC Mozer arXiv preprint arXiv:1906.03504, 2019 | 10 | 2019 |
| Pretrained language models as visual planners for human assistance D Patel, H Eghbalzadeh, N Kamra, ML Iuzzolino, U Jain, R Desai Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Fully bayesian human-machine data fusion for robust dynamic target surveillance and characterization J Muesing, L Burks, M Iuzzolino, D Szafir, NR Ahmed AIAA Scitech 2019 Forum, 2208, 2019 | 8 | 2019 |
| Fully Bayesian human–machine data fusion for robust online dynamic target characterization J Muesing, N Ahmed, L Burks, M Iuzzolino, D Albers Szafir Journal of Aerospace Information Systems 18 (2), 26-49, 2021 | 6 | 2021 |
| Embracing firefly flash pattern variability with data-driven species classification O Martin, C Nguyen, R Sarfati, M Chowdhury, ML Iuzzolino, DMT Nguyen, ... Scientific Reports 14 (1), 3432, 2024 | 3 | 2024 |
| Multiscale video pretraining for long-term activity forecasting R Tan, M De Lange, M Iuzzolino, BA Plummer, K Saenko, K Ridgeway, ... arXiv preprint arXiv:2307.12854, 2023 | 3 | 2023 |
| Action dynamics task graphs for learning plannable representations of procedural tasks W Mao, R Desai, ML Iuzzolino, N Kamra arXiv preprint arXiv:2302.05330, 2023 | 3 | 2023 |
| Robustness of collective scenting in the presence of physical obstacles DMT Nguyen, GG Fard, ML Iuzzolino, O Peleg Artificial Life and Robotics, 1-6, 2022 | 3 | 2022 |
| Online unsupervised learning of visual representations and categories M Ren, TR Scott, ML Iuzzolino, MC Mozer, R Zemel arXiv preprint arXiv:2109.05675, 2021 | 3 | 2021 |
| Honey bees find the shortest path: a collective flow-mediated approach DMT Nguyen, GG Fard, A Atkins, P Bontempo, ML Iuzzolino, O Peleg Artificial Life and Robotics 28 (1), 1-7, 2023 | 1 | 2023 |
| Physical Obstacles Constrain Behavioral Parameter Space of Successful Localization in Honey Bee Swarms DMT Nguyen, ML Iuzzolino, O Peleg Artificial Life Conference Proceedings 34 2022 (1), 26, 2022 | 1 | 2022 |
| Training cascaded networks for speeded decisions using a temporal-difference loss. ML Iuzzolino, MC Mozer, S Bengio arXiv preprint arXiv:2102.09808, 2021 | 1 | 2021 |
| In automation we trust: investigating the role of uncertainty in active learning systems ML Iuzzolino, T Umada, NR Ahmed, DA Szafir arXiv preprint arXiv:2004.00762, 2020 | 1 | 2020 |
| Gone With the Wind: Honey Bee Collective Scenting in the Presence of External Wind DMT Nguyen, G Gharooni Fard, ML Iuzzolino, O Peleg Proceedings of The ACM Collective Intelligence Conference, 25-33, 2023 | | 2023 |
