Nicolo Colombo

1. Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
   2024/10/15 by Y. Tian, Yudou Tian, Neeraj Mohan Sushma +11 · 3 voices
   Computer Science · Engineering · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Context (archaeology) #Descent (aeronautics) #Fault Detection and Control Systems #Geography #Gradient descent #Mathematical economics #Mathematics #Model Reduction and Neural Networks #Neural Networks and Applications #Space (punctuation) #State (computer science) #State space #Statistics
2. Bayesian Semi-supervised Learning with Graph Gaussian Processes
   2018/09/12 by Yin Cheng Ng, Nicolò Colombo, Nicolo Colombo +4 · 5 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Social and Information Networks (cs.SI) #cs.LG #cs.SI #stat.ML
3. Training conformal predictors
   2020/05/14 by Nicolo Colombo, Vladimir Vovk, Colombo, Nicolo +1 · 3 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
4. A minimal BV action for Vasiliev's four-dimensional higher spin gravity
   2012/05/31 by Nicolas Boulanger, Nicolo Colombo, Per Sundell · 1 citation
   Mathematics · Physics and Astronomy · #hep-th #math-ph #math.MP
5. Enhancing gravitational-wave detection: a machine learning pipeline combination approach with robust uncertainty quantification
   2025/04/24 by G. Ashton, Gregory Ashton, Ann-Kristin Malz +5 · 1 voice · 1 citation
   Physics and Astronomy · #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Astrophysical Phenomena (astro-ph.HE) #Pulsars and Gravitational Waves Research #astro-ph.HE #gr-qc