Rodrigues, Miguel R. D.

1. Theoretical Perspectives on Deep Learning Methods in Inverse Problems
   2022/06/29 by Scarlett, Jonathan, Heckel, Reinhard, Rodrigues, Miguel R. D. +2 · 6 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
2. Generalization Error in Deep Learning
   2018/08/03 by Daniel Jakubovitz, Jakubovitz, Daniel, Raja Giryes +3 · 2 citations
   Computer Science · Engineering · Earth and Planetary Sciences · #Neural Networks and Applications #Sparse and Compressive Sensing Techniques #Geophysical and Geoelectrical Methods
3. Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework
   2025/03/11 by Zhuo Zhi, Zhi, Zhuo, Feng Chen +15 · 6 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Semantic Web and Ontologies
4. Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
   2022/10/18 by Gholamali Aminian, Aminian, Gholamali, Yuheng Bu +7 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning and Algorithms #Machine Learning and ELM #Neural Networks and Applications
5. Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
   2021/02/03 by Aminian, Gholamali, Toni, Laura, Rodrigues, Miguel R. D. · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
   2022/10/02 by Gholamali Aminian, Aminian, Gholamali, Saeed Masiha +5 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
7. Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding
   2023/09/12 by Shah, Shaik Basheeruddin, Pradhan, Pradyumna, Pu, Wei +3 · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering