Max B. Paulus

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 18

Top Topics

Combinatorial Problems

Imitation Learning

Discrete Geometry

Top Venues

Publications

Max B. Paulus, Andreas Krause
Learning To Dive In Branch And Bound. NeurIPS (2023)
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu
Learning to Configure Separators in Branch-and-Cut. CoRR (2023)
Rafael Sterzinger, Jan Poland, Max B. Paulus, Didier Chételat
Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems. ISGT EUROPE (2023)
Max B. Paulus, Andreas Krause
Learning To Dive In Branch And Bound. CoRR (2023)
Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu
Learning to Configure Separators in Branch-and-Cut. NeurIPS (2023)
Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris J. Maddison
Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning. CoRR (2022)
Djorde Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. CoRR (2022)
Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs. NeurIPS (2022)
Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem. CoRR (2022)
Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. Paulus
Instance-wise algorithm configuration with graph neural networks. CoRR (2022)
Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
Augment with Care: Contrastive Learning for Combinatorial Problems. ICML (2022)
Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris J. Maddison
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning. ICML (2022)
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. CoRR (2021)
Max B. Paulus, Chris J. Maddison, Andreas Krause
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator. ICLR (2021)
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause, Chris J. Maddison
Gradient Estimation with Stochastic Softmax Tricks. CoRR (2020)
Max B. Paulus, Chris J. Maddison, Andreas Krause
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator. CoRR (2020)
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause, Chris J. Maddison
Gradient Estimation with Stochastic Softmax Tricks. NeurIPS (2020)