Max B. Paulus

19 papers A* 7Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2023 A* conf
Learning To Dive In Branch And Bound.
NeurIPS
Max B. Paulus, Andreas Krause
2023 J jnl
Learning To Dive In Branch And Bound.
CoRR
Max B. Paulus, Andreas Krause
2023 A* conf
Learning to Configure Separators in Branch-and-Cut.
NeurIPS
Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu
2023 J jnl
Learning to Configure Separators in Branch-and-Cut.
CoRR
Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu
2023 — conf
Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems.
ISGT EUROPE
Rafael Sterzinger, Jan Poland, Max B. Paulus, Didier Chételat
2023 — —
Learning with and for discrete optimization.
Max B. Paulus
2022 A* conf
Augment with Care: Contrastive Learning for Combinatorial Problems.
ICML
Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
2022 J jnl
Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem.
CoRR
Haonan Duan, Pashootan Vaezipoor, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
2022 J jnl
Instance-wise algorithm configuration with graph neural networks.
CoRR
Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. Paulus
2022 J jnl
Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning.
CoRR
Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris J. Maddison
2022 A* conf
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning.
ICML
Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris J. Maddison
2022 A* conf
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs.
NeurIPS
Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
2022 J jnl
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs.
CoRR
Ðorðe Miladinovic, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Carl Allen
2021 J jnl
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning.
CoRR
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2021 A* conf
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator.
ICLR
Max B. Paulus, Chris J. Maddison, Andreas Krause
2020 A* conf
Gradient Estimation with Stochastic Softmax Tricks.
NeurIPS
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause, Chris J. Maddison
2020 J jnl
Gradient Estimation with Stochastic Softmax Tricks.
CoRR
Max B. Paulus, Dami Choi, Daniel Tarlow, Andreas Krause, Chris J. Maddison
2020 J jnl
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator.
CoRR
Max B. Paulus, Chris J. Maddison, Andreas Krause