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Christian Tjandraatmadja

  1. Solving Mixed Integer Programs Using Neural Networks
    2020/12/23 by Vinod Nair, Sergey Bartunov, Nair, Vinod +35 · 23 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  2. Strong mixed-integer programming formulations for trained neural networks
    2020/02/13 by Ross Anderson, Joey Huchette, Will Ma +2 · 17 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Advanced Neural Network Applications
  3. Strong mixed-integer programming formulations for trained neural networks
    2018/11/20 by Ross Anderson, Joey Huchette, Anderson, Ross +5 · 12 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Control (math.OC)
  4. CAQL: Continuous Action Q-Learning
    2019/09/26 by Moonkyung Ryu, Yinlam Chow, Ryu, Moonkyung +7 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  5. The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
    2020/06/24 by Christian Tjandraatmadja, Tjandraatmadja, Christian, Ross Anderson +9 · 3 citations
    Computer Science · Engineering · #68T07 #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)