Scholar
Mattia Rigotti
Google Scholar ID: TmHt7CwAAAAJ
Researcher at IBM Research AI
Citations & Impact
Citations
4,317
H-index
21
i10-index
28
Publications
20
Co-authors
25
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - 2025: 'Eliciting Reasoning in Language Models with Cognitive Tools', NeurIPS 2025
- - 2025: 'Q-SAM2: Accurate Quantization for Segment Anything Model 2', arXiv preprint
- - 2025: 'Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training', arXiv preprint
- - 2025: 'Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation', TMLR 2025
- - 2025: 'VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation', CVPR 2025 Demo Track
- - 2025: 'Towards Reliable Conversational Data Analytics', EDBT 2025
- - 2024: 'Distributional Preference Alignment of LLMs via Optimal Transport', NeurIPS 2024
- - 2024: 'Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking', NeurIPS 2024
- - 2024: 'Auditing and Generating Synthetic Data with Controllable Trust Trade-offs', IEEE Journal
- - 2024: 'Probabilistic Feature Matching for Fast Scalable Visual Prompting'
Research Experience
- - 2014 - now: Research Scientist at Artificial Intelligence and Neuroscience, IBM Research
- - 2013-2014: Associate Research Fellow at Center for Theoretical Neuroscience and The Italian Academy for Advanced Studies, Columbia University, New York
- - 2010-2013: Postdoctoral Fellow at Center for Neural Science, New York University, New York
Education
- - 2007-2010: Ph.D. (Neuroscience, Feb. 2010), M.Phil. (Neurobiology and Behavior, Oct. 2009) at Columbia University, College of Physicians and Surgeons, New York, NY. Thesis: 'Modeling the neural mechanisms underlying rule-based behavior'
- - 2004: DEA (Theoretical Physics, June 2004) at Université Pierre et Marie Curie, Paris VI / École Normale Supérieure, Paris, France
- - 2000-2005: M.Sc., Dipl. Phys. ETH Zürich (Theoretical Physics, Dec. 2005) at Swiss Federal Institute of Technology (ETH), Zurich, Switzerland. Thesis: 'A Relativistic Stochastic Process: statistical mechanics in a general relativistic framework'
Background
- Research interests include Neural Networks, Machine Learning, Neuromorphic Engineering and Computational Neuroscience.
Miscellany
- Email: mr2666@columbia.edu
