Soft morphological processing of tactile stimuli for autonomous category formation. - Luca Scimeca; Perla Maiolino; Fumiya Iida (RoboSoft, 2018)

Achieving Robotically Peeled Lettuce. - Josie Hughes; Luca Scimeca; Ioana Ifrim; Perla Maiolino; Fumiya Iida (IEEE Robotics Autom. Lett., 2018)

Non-Destructive Robotic Assessment of Mango Ripeness via Multi-Point Soft Haptics. - Luca Scimeca; Perla Maiolino; Daniel Cardin-Catalan; Angel P. del Pobil; Antonio Morales; Fumiya Iida (ICRA, 2019)

Model-Free Soft-Structure Reconstruction for Proprioception Using Tactile Arrays. - Luca Scimeca; Josie Hughes; Perla Maiolino; Fumiya Iida (IEEE Robotics Autom. Lett., 2019)

Human-Robot Medical Interaction. - Luca Scimeca; Fumiya Iida; Perla Maiolino; D. P. Thrishantha Nanayakkara (HRI (Companion), 2020)

Efficient Bayesian Exploration for Soft Morphology-Action Co-optimization. - Luca Scimeca; Perla Maiolino; Fumiya Iida (RoboSoft, 2020)

Self-supervised Learning Through Scene Observation for Selective Item Identification in Conveyor Belt Systems. - Luca Scimeca; Fumiya Iida (TAROS, 2020)

Structuring of tactile sensory information for category formation in robotics palpation. - Luca Scimeca; Perla Maiolino; Ed Bray; Fumiya Iida (Auton. Robots, 2020)

Flexible, adaptive industrial assembly: driving innovation through competition. - Josie Hughes; Kieran Gilday; Luca Scimeca; Soham Garg; Fumiya Iida (Intell. Serv. Robotics, 2020)

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. - Michael Poli; Stefano Massaroli; Luca Scimeca; Sanghyuk Chun; Seong Joon Oh; Atsushi Yamashita; Hajime Asama; Jinkyoo Park; Animesh Garg (NeurIPS, 2021)

Comparative Analysis of Model-Based Predictive Shared Control for Delayed Operation in Object Reaching and Recognition Tasks With Tactile Sensing. - Leone Costi; Luca Scimeca; Perla Maiolino; Thilina Dulantha Lalitharatne; Thrishantha Nanayakkara; Ryman Hashem; Fumiya Iida (Frontiers Robotics AI, 2021)

Online Morphological Adaptation for Tactile Sensing Augmentation. - Josie Hughes; Luca Scimeca; Perla Maiolino; Fumiya Iida (Frontiers Robotics AI, 2021)

An Abdominal Phantom With Tunable Stiffness Nodules and Force Sensing Capability for Palpation Training. - Liang He 007; Nicolas Herzig; Simon de Lusignan; Luca Scimeca; Perla Maiolino; Fumiya Iida; Thrishantha Nanayakkara (IEEE Trans. Robotics, 2021)

Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. - Luca Scimeca; Seong Joon Oh; Sanghyuk Chun; Michael Poli; Sangdoo Yun (ICLR, 2022)

EDAMS: An Encoder-Decoder Architecture for Multi-grasp Soft Sensing Object Recognition. - Oliver Shorthose; Alessandro Albini; Luca Scimeca; Liang He 007; Perla Maiolino (RoboSoft, 2023)

Comparative Study of Hand-Tracking and Traditional Control Interfaces for Remote Palpation. - Leone Costi; Elijah Almanzor; Luca Scimeca; Fumiya Iida (TAROS, 2023)

Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks. - Luca Scimeca; Alexander Rubinstein 002; Armand Mihai Nicolicioiu; Damien Teney; Yoshua Bengio (CoRR, 2023)

Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. - Luca Scimeca; Alexander Rubinstein 002; Damien Teney; Seong Joon Oh; Armand Mihai Nicolicioiu; Yoshua Bengio (CoRR, 2023)

Improved off-policy training of diffusion samplers. - Marcin Sendera; Minsu Kim 004; Sarthak Mittal; Pablo Lemos; Luca Scimeca; Jarrid Rector-Brooks; Alexandre Adam; Yoshua Bengio; Nikolay Malkin (NeurIPS, 2024)

Amortizing intractable inference in diffusion models for vision, language, and control. - Siddarth Venkatraman; Moksh Jain; Luca Scimeca; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (NeurIPS, 2024)

On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. - Marcin Sendera; Minsu Kim 004; Sarthak Mittal; Pablo Lemos; Luca Scimeca; Jarrid Rector-Brooks; Alexandre Adam; Yoshua Bengio; Nikolay Malkin (CoRR, 2024)

Scalable Ensemble Diversification for OOD Generalization and Detection. - Alexander Rubinstein 002; Luca Scimeca; Damien Teney; Seong Joon Oh (CoRR, 2024)

Remote Robotic Palpation With Depth-Vision-Driven Autonomous-Dimensionality-Reduction Shared Control. - Jingwen Zhao; Leone Costi; Luca Scimeca; Fumiya Iida (IEEE Trans. Robotics, 2025)

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. - Siddarth Venkatraman; Mohsin Hasan; Minsu Kim 004; Luca Scimeca; Marcin Sendera; Yoshua Bengio; Glen Berseth; Nikolay Malkin (CoRR, 2025)

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control. - Thomas Jiralerspong; Berton Earnshaw; Jason S. Hartford; Yoshua Bengio; Luca Scimeca (CoRR, 2025)

Solving Bayesian inverse problems with diffusion priors and off-policy RL. - Luca Scimeca; Siddarth Venkatraman; Moksh Jain; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (CoRR, 2025)

Torsional-GFN: a conditional conformation generator for small molecules. - Alexandra Volokhova; Léna Néhale Ezzine; Piotr Gainski; Luca Scimeca; Emmanuel Bengio; Prudencio Tossou; Yoshua Bengio; Alex Hernández-García (CoRR, 2025)