Guido Montufar
- On the number of response regions of deep feed forward networks with piece-wise linear activations
2013/12/20 by Razvan Pascanu, Pascanu, Razvan, Guido Montúfar +4 · 46 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function #cs.LG #cs.NE
- Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines
2010/05/10 by Guido Montufar, Guido Montúfar, Montufar, Guido +2 · 4 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques #stat.ML
- Hierarchical Models as Marginals of Hierarchical Models
2015/08/14 by Guido Montufar, Montufar, Guido, Johannes Rauh +1 · 2 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Probability (math.PR) #Statistics Theory (math.ST) #cs.LG #cs.NE #math.PR #math.ST #stat.TH
- Dimension of Marginals of Kronecker Product Models
2015/11/10 by Guido Montufar, Montufar, Guido, Jason Morton +1 · 2 citations
Computer Science · Mathematics · #14T05 #52B05 #Algebraic Geometry (math.AG) #Combinatorics (math.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Probability (math.PR) #cs.NE #math.AG #math.CO #math.PR #msc:14T05 #msc:52B05 #stat.ML
- Information Theoretically Aided Reinforcement Learning for Embodied Agents
2016/05/31 by Guido Montufar, Guido Montúfar, Montufar, Guido +4 · 2 citations
Computer Science · Engineering · Mathematics · #68T05 #68T40 #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Robotics (cs.RO) #cs.AI #cs.RO #math.OC #msc:68T05 #msc:68T40 #stat.ML
- Discrete Restricted Boltzmann Machines
2013/01/15 by Guido Montúfar, Guido Montufar, Montufar, Guido +2 · 1 citation
Computer Science · Mathematics · #14Q15 #51M20 #60C05 #68Q32 #Algebraic Geometry (math.AG) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Probability (math.PR) #acm:14Q15 #acm:51M20 #acm:60C05 #acm:68Q32 #math.AG #math.PR #msc:14Q15 #msc:51M20 #msc:60C05 #msc:68Q32 #stat.ML
- Geometry and Determinism of Optimal Stationary Control in Partially Observable Markov Decision Processes
2015/03/24 by Guido Montufar, Guido Montúfar, Keyan Ghazi-Zahedi +4 · 2 citations
Computer Science · Mathematics · #90C40 #93E20 #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning and Algorithms #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #cs.AI #math.OC #msc:90C40 #msc:93E20