Mattia Rigotti

1. The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex
   2020/10/14 by Silvia Bernardi, Marcus K. Benna, Mattia Rigotti +3 · 43 citations
   Neuroscience · Computer Science · #Neural dynamics and brain function #Memory and Neural Mechanisms #Neural Networks and Applications
2. Mixed selectivity: Cellular computations for complexity
   2024/05/09 by Kay M. Tye, Earl K. Miller, Felix Taschbach +3 · 2 voices · 42 citations
   Neuroscience · Engineering · Computer Science · #Neural dynamics and brain function #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing
3. Why neurons mix: high dimensionality for higher cognition
   2016/04/01 by Stefano Fusi, Earl K Miller, Mattia Rigotti · 13 citations
4. Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
   2018/06/24 by Anna Choromanska, Choromanska, Anna, Benjamin Cowen +19 · 6 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Domain Adaptation and Few-Shot Learning
5. Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
   2023/04/21 by Brian Belgodere, Belgodere, Brian, Pierre Dognin +24 · 3 citations
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
6. Distributional Preference Alignment of LLMs via Optimal Transport
   2024/06/09 by Igor Melnyk, Melnyk, Igor, Youssef Mroueh +15 · 3 citations
   Engineering · #Advanced Manufacturing and Logistics Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Packing Problems #Vehicle Routing Optimization Methods
7. Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
   2025/05/28 by Youssef Mroueh, Nicolas Dupuis, Mroueh, Youssef +15 · 8 citations
   Psychology · #FOS: Computer and information sciences #Human Resource Development and Performance Evaluation #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
   2024/06/10 by Gabriel Rioux, Rioux, Gabriel, Apoorva Nitsure +7 · 2 citations
   Economics, Econometrics and Finance · #Economic theories and models #European Monetary and Fiscal Policies #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Voting Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
9. Self-correcting Q-Learning
   2020/12/02 by Rong Zhu, Zhu, Rong, Mattia Rigotti +1 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
10. Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
    2020/12/21 by Pierre Dognin, Igor Melnyk, Dognin, Pierre +15 · 1 citation
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
11. Predictive learning as a network mechanism for extracting low-dimensional latent space representations
    2021/03/03 by Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie +3 · 1 voice · 1 citation
    Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Neural Networks and Reservoir Computing
12. Risk Aware Benchmarking of Large Language Models
    2023/10/11 by Apoorva Nitsure, Nitsure, Apoorva, Youssef Mroueh +15 · 1 citation
    Computer Science · Decision Sciences · Mathematics · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk Management (q-fin.RM) #Risk and Portfolio Optimization #Statistical Methods and Inference #Statistics Theory (math.ST)
13. Unraveling the Key Components of OOD Generalization via Diversification
    2023/12/26 by Harold Benoit, Liangze Jiang, Benoit, Harold +9 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Data Stream Mining Techniques #Anomaly Detection Techniques and Applications