Michael L. Iuzzolino

According to our database, Michael L. Iuzzolino authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multimodal Generative Recommendation for Fusing Semantic and Collaborative Signals.

Moritz Vandenhirtz, Kaveh Hassani, Shervin Ghasemlou, Shuai Shao, Hamid Eghbalzadeh, Fuchun Peng, Jun Liu, Michael Louis Iuzzolino

CoRR, February, 2026

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

EgoToM: Benchmarking Theory of Mind Reasoning from Egocentric Videos.

Yuxuan Li, Vijay Veerabadran, Michael L. Iuzzolino, Brett D. Roads, Asli Celikyilmaz, Karl Ridgeway

CoRR, March, 2025

Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices.

Xinru Wang, Mengjie Yu, Hannah Nguyen, Michael Louis Iuzzolino, Tianyi Wang, Peiqi Tang, Natasha Lynova, Co Tran, Ting Zhang, Naveen Sendhilnathan, Hrvoje Benko, Haijun Xia, Tanya R. Jonker

Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Gaze-Language Alignment for Zero-Shot Prediction of Visual Search Targets from Human Gaze Scanpaths.

Sounak Mondal, Naveen Sendhilnathan, Ting Zhang, Yue Liu, Michael Proulx, Michael Louis Iuzzolino, Chuan Qin, Tanya R. Jonker

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Synthetic Captions for Open-Vocabulary Zero-Shot Segmentation.

Tim Lebailly, Vijay Veerabadran, Satwik Kottur, Karl Ridgeway, Michael Louis Iuzzolino

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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, February, 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

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

Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks.

Weichao Mao, Ruta Desai, Michael Louis Iuzzolino, Nitin Kamra

CoRR, 2023

Pretrained Language Models as Visual Planners for Human Assistance.

Dhruvesh Patel, Hamid Eghbalzadeh, Nitin Kamra, Michael Louis Iuzzolino, Unnat Jain, Ruta Desai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

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., February, 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

Training cascaded networks for speeded decisions using a temporal-difference loss.

Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio

CoRR, 2021

Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss.

Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wandering within a world: Online contextualized few-shot learning.

Mengye Ren, Michael Louis Iuzzolino, Michael Curtis Mozer, Richard S. Zemel

Proceedings of the 9th International Conference on Learning Representations, 2021

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

AV(SE)²: Audio-Visual Squeeze-Excite Speech Enhancement.

Michael L. Iuzzolino, Kazuhito Koishida

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

MMTM: Multimodal Transfer Module for CNN Fusion.

Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Convolutional Bipartite Attractor Networks.

Michael L. Iuzzolino, Yoram Singer, Michael C. Mozer

CoRR, 2019

2018

Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails.

Michael L. Iuzzolino, Michael E. Walker, Daniel Szafir

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018