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Eliciting Reasoning in Language Models with Cognitive Tools
B. Ebouky, A. Bartezzaghi, M. Rigotti
Advances in Neural Information Processing Systems 39, NeurIPS 2025
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Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning
Y. Sung, M. Rigotti, S.W. Lee
Nature Communications, 26 Nov 2025
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Detection and Simulation of Urban Heat Islands Using a Fine-Tuned Geospatial Foundation Model for Microclimate Impact Prediction
J. Fleckenstein, D. Kreismann, T.R. Govindasamy, T. Brunschwiler, E. Vos, M. Rigotti
Advances in Neural Information Processing Systems 39, Workshop: Tackling Climate Change with Machine Learning 2025
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Factorized Prefrontal Geometry of Goal and Uncertainty Explains Flexible yet Stable Human Goal Pursuit
Y. Sung, M. Rigotti, S.W. Lee
Advances in Neural Information Processing Systems 39, Workshop on Symmetry and Geometry in Neural Representations 2025
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Q-SAM2: Accurate Quantization for Segment Anything Model 2
N. Farronato, F. Scheidegger, M. Rigotti, C. Malossi, M. Magno, H. Qin
arXiv preprint, arXiv:2506.09782 2025
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Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation
N. Avogaro, T. Frick, M. Rigotti, A. Bartezzaghi, F. Janicki, A.C.I. Malossi, K. Schindler, R. Assaf
Transactions on Machine Learning Research, TMLR 2025
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VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation
N. Avogaro, T. Frick, Y.G. Cinar, D. Caraballo, C. Skura, F.M. Janicki, P. Kluska, B. Ebouky, N. Farronato, F. Scheidegger, C. Malossi, K. Schindler, A. Bartezzaghi, R. Assaf, M. Rigotti
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Demo Track, CVPR 2025
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Towards Reliable Conversational Data Analytics
S. Amer-Yahia, J. Bogojeska, R. Facchinetti, V. Franceschi, A. Gionis, K. Hose, G. Koutrika, R. Kouyos, M. Lissandrini, S. Maniu, K. Mirylenka, D. Mottin, T. Palpanas, M. Rigotti, Y. Velegrakis
International Conference on Extending Database Technology, EDBT 2025
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Distributional Preference Alignment of LLMs via Optimal Transport
I. Melnyk, Y. Mroueh, B. Belgodere, M. Rigotti, A. Nitsure, M. Yurochkin, K. Greenewald, J. Navratil, J. Ross
Advances in Neural Information Processing Systems 38, NeurIPS 2024
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Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
G. Rioux, A. Nitsure, M. Rigotti, K. Greenewald, Y. Mroueh
Advances in Neural Information Processing Systems 38, NeurIPS 2024
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Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
B. Belgodere, P. Dognin, A. Ivankay, I. Melnyk, Y. Mroueh, A. Mojsilovic, J. Navartil, A. Nitsure, I. Padhi, M. Rigotti, J. Ross, Y. Schiff, R. Vedpathak, R.A. Young
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, JETCAS (Awarded best paper award) 2024
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Probabilistic Feature Matching for Fast Scalable Visual Prompting
T. Frick, C. Skura, F.M. Janicki, R. Assaf, N. Avogaro, D. Caraballo-Rivera, Y.G. Cinar, B. Ebouky, I. Giurgiu, T. Katsuki, P.S. Kluska, C. Malossi, H. Qiu, T. Sakai, F. Scheidegger, A. Simeski, D. Yang, A. Bartezzaghi, M. Rigotti
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024
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Interactive Image Segmentation Guided by Visual Prompting
T. Frick, C. Skura, F.M. Janicki, R. Assaf, N. Avogaro, D. Caraballo-Rivera, Y.G. Cinar, B. Ebouky, I. Giurgiu, T. Katsuki, P.S. Kluska, C. Malossi, H. Qiu, T. Sakai, F. Scheidegger, A. Simeski, D. Yang, A. Bartezzaghi, M. Rigotti
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Demo Track, CVPR 2024
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Risk Aware Benchmarking of Large Language Models
A. Nitsure, Y. Mroueh, M. Rigotti, K. Greenewald, B. Belgodere, M. Yurochkin, J. Navratil, I. Melnyk, J. Ross
International Conference on Machine Learning, ICML 2024
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Mixed selectivity: Cellular computations for complexity
K.M. Tye, E.K. Miller, F.H. Taschbach, M.K. Benna, M. Rigotti, S. Fusi
Neuron, 112, July 17, 2024
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Adaptive Conformal Regression with Jackknife+ Rescaled Scores
N. Deutschmann, M. Rigotti, M. Rodriguez Martinez
Transactions on Machine Learning Research, TMLR 2024
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MC Layer Normalization for calibrated uncertainty in Deep Learning
T. Frick, D. Antognini, I. Giurgiu, B.F. Grewe, C. Malossi, R.J.B. Zhu, M. Rigotti
Transactions on Machine Learning Research, TMLR 2024
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On the generalization capacity of neural networks during generic multimodal reasoning
T. Ito, S. Dan, M. Rigotti, J. Kozloski, M. Campbell
International Conference on Learning Representations, ICLR 2024
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Unraveling the Key Components of OOD Generalization via Diversification
H. Benoit, L. Jiang, A. Atanov, O. Fatih Kar, M. Rigotti, A. Zamir
International Conference on Learning Representations, ICLR 2024
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AI for bridge inspection with IBM Inspecto
A.C.I. Malossi, R. Assaf, N. Avogaro, A. Bartezzaghi, B. Ebouky, T. Frick, I. Giurgiu, F.M. Janicki, P. Kluska, M. Rigotti, F. Scheidegger, A. Simeski, C. Skura, D. Caraballo, Y. Cinar, F. Bormlund, S. Gjerding
IABMAS, 2024
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Risk Assessment and Statistical Significance in the Age of Foundation Models
A. Nitsure, Y. Mroueh, M. Rigotti, K. Greenewald, B. Belgodere, M. Yurochkin, J. Navratil, I. Melnyk, J. Ross
NeurIPS, Socially Responsible Language Modelling Research Workshop (SoLaR) 2023
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DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
A. Ivankay, M. Rigotti, P. Frossard
The 61st Annual Meeting of the Association for Computational Linguistics, ACL (Awarded an oral presentation) 2023
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Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications
M. Rigotti, D. Antognini, R. Assaf, K. Bakirci, T. Frick, I. Giurgiu, K. Janoušková, F. Janicki, H. Jubran, C. Malossi, A. Meterez, F. Scheidegger
ce/papers, 6(5), pp.605-613, 2023
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Importance of Digitalization and Standardization for Bridge and Tunnel Monitoring and Predictive Maintenance
M. Weise, Mi. Böhms, D. Allaix, A. Sanchez-Rodriguez, M. Rigotti
ce/papers, 6(5), pp.592-599, 2023
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Risk Assessment and Statistical Significance in the Age of Foundation Models
A. Nitsure, Y. Mroueh, M. Rigotti, K. Greenewald, B. Belgodere, M. Yurochkin, J. Navratil, I. Melnyk, J. Ross
arXiv preprint, arXiv:2310.07132, 2023
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Cloud-Based Real-Time Molecular Screening Platform with MolFormer
B. Belgodere, V. Chenthamarakshan, P. Das, P. Dognin, T. Kurien, I. Melnyk, Y. Mroueh, I. Padhi, M. Rigotti, J. Ross, Y. Schiff, R.A. Young
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD Demo 2022
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Compositional generalization through abstract representations in human and artificial neural networks
T. Ito, T. Klinger, D.H. Schultz, J.D. Murray, M.W. Cole, M. Rigotti
Advances in Neural Information Processing Systems 36, NeurIPS (Awarded an oral presentation) 2022
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The implications of categorical and category-free mixed selectivity on representational geometries
M.T. Kaufman, M.K. Benna, M. Rigotti, F. Stefanini, S. Fusi, A.K. Churchland
Current Opinion in Neurobiology, 77:102644, 2022
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Attention-based Interpretability with Concept Transformers
M. Rigotti, C. Miksovic, I. Giurgiu, T. Gschwind, P. Scotton
International Conference on Learning Representations, ICLR 2022
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Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures
K. Janouskova, M. Rigotti, I. Giurgiu, C. Malossi
European Conference on Computer Vision, CVCIE Workshop @ ECCV (Awarded best paper award) 2022
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Active Learning for Imbalanced Civil Infrastructure Data
T. Frick, D. Antognini, M. Rigotti, I. Giurgiu, B. Grewe, C. Malossi
European Conference on Computer Vision, CVCIE Workshop @ ECCV 2022
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Design of a Cloud-Based Data Platform for Standardized Machine Learning Workflows with Applications to Transport Infrastructure
A. Bartezzaghi, I. Giurgiu, C. Marchiori, M. Rigotti, R. Sebastian, C. Malossi
IEEE 21st Mediterranean Electrotechnical Conference, MELECON 2022
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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
P. Dognin, I. Melnyk, Y. Mroueh, I. Padhi, M. Rigotti, J. Ross, Y. Schiff, R.A. Young, B. Belgodere
Journal of Artificial Intelligence Research, 73, 437-459, 2022
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Sobolev Independence Criterion
Y. Mroueh, T. Sercu, M. Rigotti, I. Padhi, C. Dos Santos
Advances in Neural Information Processing Systems 33, NeurIPS 2019
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RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures with Analog Arrays
M.J. Rasch, T. Gokmen, M. Rigotti, W. Haensch
Frontiers in Neuroscience | Neuromorphic Engineering, 13:753, 2019
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Measuring prefrontal representational geometry: fMRI adaptation vs pattern analysis
A. Bhandari, M.K. Benna, M. Rigotti, S. Fusi, D. Badre
Conference on Cognitive Computational Neuroscience, CCN 2019
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Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
A. Choromanska, B. Cowen, S. Kumaravel, R. Luss, M. Rigotti, I. Rish, B. Kingsbury, P. DiAchille, V. Gurev, R. Tejwani, D. Bouneffouf
International Conference on Machine Learning, ICML 2019
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The geometry of abstraction in hippocampus and pre-frontal cortex
S. Bernardi, M.K. Benna, M. Rigotti, J. Munuera, S. Fusi, C.D. Salzman
Computational and Systems Neuroscience Conference, CoSyNe 2019
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Signatures of low-dimensional neural predictive manifolds
S. Recanatesi, M. Farrell, G. Lajoie, S. Deneve, M. Rigotti, E. Shea-Brown
Computational and Systems Neuroscience Conference, CoSyNe 2019
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Signatures and mechanisms of low-dimensional neural predictive manifolds
S. Recanatesi, M. Farrell, G. Lajoie, S. Deneve, M. Rigotti, E. Shea-Brown
bioRxiv, 471987, 2019