Alberto Bernacchia

1. On the equivalence of Hopfield Networks and Boltzmann Machines
   2011/05/13 by Adriano Barra, Alberto Bernacchia, Barra, Adriano +5 · 4 citations
   Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
2. Natural continual learning: success is a journey, not (just) a\n destination
   2021/06/15 by Ta-Chu Kao, Kristopher T. Jensen, Kao, Ta-Chu +7 · 6 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neurons and Cognition (q-bio.NC)
3. Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
   2023/08/10 by Ushnish Sengupta, Chin-Kuo Jao, Sengupta, Ushnish +7 · 5 citations
   Computer Science · Engineering · #Advanced MIMO Systems Optimization #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (stat.ML) #Networking and Internet Architecture (cs.NI) #Speech and Audio Processing #and Science (cs.CE)
4. Delayed Feedback in Kernel Bandits
   2023/02/01 by Sattar Vakili, Vakili, Sattar, Danyal Ahmed +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
5. Optimal Order Simple Regret for Gaussian Process Bandits
   2021/08/20 by Sattar Vakili, Nacime Bouziani, Vakili, Sattar +7 · 3 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms
6. How to distribute data across tasks for meta-learning?
   2021/03/15 by Alexandru Cioba, Michael Bromberg, Cioba, Alexandru +13 · 1 citation
   Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Radiomics and Machine Learning in Medical Imaging
7. Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
   2022/02/08 by Sattar Vakili, Vakili, Sattar, Jonathan Scarlett +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM
8. Uniform Generalization Bounds for Overparameterized Neural Networks
   2021/09/13 by Sattar Vakili, Michael Bromberg, Vakili, Sattar +6 · 1 citation
   Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
9. Efficient Model Compression Techniques with FishLeg
   2024/12/03 by Jamie McGowan, McGowan, Jamie, Wei Sheng Lai +15 · 2 citations
   Computer Science · #Advanced Data Compression Techniques