Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails. - Michael L. Iuzzolino; Michael E. Walker; Daniel Szafir (IROS, 2018)

Convolutional Bipartite Attractor Networks. - Michael L. Iuzzolino; Yoram Singer; Michael C. Mozer (CoRR, 2019)

MMTM: Multimodal Transfer Module for CNN Fusion. - Hamid Reza Vaezi Joze; Amirreza Shaban; Michael L. Iuzzolino; Kazuhito Koishida (CVPR, 2020)

AV(SE)2: Audio-Visual Squeeze-Excite Speech Enhancement. - Michael L. Iuzzolino; Kazuhito Koishida (ICASSP, 2020)

In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems. - Michael L. Iuzzolino; Tetsumichi Umada; Nisar R. Ahmed; Danielle Albers Szafir (CoRR, 2020)

Wandering within a world: Online contextualized few-shot learning. - Mengye Ren; Michael Louis Iuzzolino; Michael Curtis Mozer; Richard S. Zemel (ICLR, 2021)

Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss. - Michael L. Iuzzolino; Michael C. Mozer; Samy Bengio (NeurIPS, 2021)

Training cascaded networks for speeded decisions using a temporal-difference loss. - Michael L. Iuzzolino; Michael C. Mozer; Samy Bengio (CoRR, 2021)

Online Unsupervised Learning of Visual Representations and Categories. - Mengye Ren; Tyler R. Scott; Michael L. Iuzzolino; Michael C. Mozer; Richard S. Zemel (CoRR, 2021)

Fully Bayesian Human-Machine Data Fusion for Robust Online Dynamic Target Characterization. - Jeremy Muesing; Nisar R. Ahmed; Luke Burks; Michael L. Iuzzolino; Danielle Albers Szafir (J. Aerosp. Inf. Syst., 2021)

Robustness of collective scenting in the presence of physical obstacles. - Dieu My T. Nguyen; Golnar Gharooni Fard; Michael L. Iuzzolino; Orit Peleg (Artif. Life Robotics, 2022)

Pretrained Language Models as Visual Planners for Human Assistance. - Dhruvesh Patel; Hamid Eghbalzadeh; Nitin Kamra; Michael Louis Iuzzolino; Unnat Jain; Ruta Desai (ICCV, 2023)

Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks. - Weichao Mao; Ruta Desai; Michael Louis Iuzzolino; Nitin Kamra (CoRR, 2023)

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. - Matthias De Lange; Hamid Eghbalzadeh; Reuben Tan; Michael L. Iuzzolino; Franziska Meier; Karl Ridgeway (CoRR, 2023)

Multiscale Video Pretraining for Long-Term Activity Forecasting. - Reuben Tan; Matthias De Lange; Michael L. Iuzzolino; Bryan A. Plummer; Kate Saenko; Karl Ridgeway; Lorenzo Torresani (CoRR, 2023)

Honey bees find the shortest path: a collective flow-mediated approach. - Dieu My T. Nguyen; Golnar Gharooni Fard; Ashley Atkins; Paul Bontempo; Michael L. Iuzzolino; Orit Peleg (Artif. Life Robotics, 2023)

EgoToM: Benchmarking Theory of Mind Reasoning from Egocentric Videos. - Yuxuan Li; Vijay Veerabadran; Michael L. Iuzzolino; Brett D. Roads; Asli Celikyilmaz; Karl Ridgeway (CoRR, 2025)

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction. - Ce Zhang; Yale Song; Ruta Desai; Michael Louis Iuzzolino; Joseph Tighe; Gedas Bertasius; Satwik Kottur (CoRR, 2025)