A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning von Huijben, Iris A. M., Kool, Wouter, Paulus, Max B., van Sloun, Ruud J. G.

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Skin-interfaced biosensors for advanced wireless physiological monitoring in neonatal and pediatric intensive-care units von Chung, Ha Uk, Rwei, Alina Y., Hourlier-Fargette, Aurélie, Xu, Shuai, Lee, KunHyuck, Dunne, Emma C., Xie, Zhaoqian, Liu, Claire, Carlini, Andrea, Kim, Dong Hyun, Ryu, Dennis, Kulikova, Elena, Cao, Jingyue, Odland, Ian C., Fields, Kelsey B., Hopkins, Brad, Banks, Anthony, Ogle, Christopher, Grande, Dominic, Park, Jun Bin, Kim, Jongwon, Irie, Masahiro, Jang, Hokyung, Lee, JooHee, Park, Yerim, Kim, Jungwoo, Jo, Han Heul, Hahm, Hyoungjo, Avila, Raudel, Xu, Yeshou, Namkoong, Myeong, Kwak, Jean Won, Suen, Emily, Paulus, Max A., Kim, Robin J., Parsons, Blake V., Human, Kelia A., Kim, Seung Sik, Patel, Manish, Reuther, William, Kim, Hyun Soo, Lee, Sung Hoon, Leedle, John D., Yun, Yeojeong, Rigali, Sarah, Son, Taeyoung, Jung, Inhwa, Arafa, Hany, Soundararajan, Vinaya R., Ollech, Ayelet, Shukla, Avani, Bradley, Allison, Schau, Molly, Rand, Casey M., Marsillio, Lauren E., Harris, Zena L., Huang, Yonggang, Hamvas, Aaron, Paller, Amy S., Weese-Mayer, Debra E., Lee, Jong Yoon, Rogers, John A.

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Skin-Interfaced Biosensors and Pilot Studies for Advanced Wireless Physiological Monitoring in Neonatal and Pediatric Intensive Care Units von Chung, Ha Uk, Rwei, Alina, Hourlier-Fargette, Aurélie, Xu, Shuai, Lee, KunHyuck, Dunne, Emma C., Xie, Zhaoqian, Liu, Claire, Carlini, Andrea, Kim, Dong Hyun, Ryu, Dennis, Kulikova, Elena, Cao, Jingyue, Odland, Ian C., Fields, Kelsey B., Hopkins, Brad, Banks, Anthony, Ogle, Christopher, Grande, Dominic, Park, Jun Bin, Kim, Jongwon, Irie, Masahiro, Jang, Hokyung, Lee, JooHee, Park, Yerim, Kim, Jungwoo, Jo, Han Heul, Hahm, Hyoungjo, Avila, Raudel, Xu, Yeshou, Namkoong, Myeong, Kwak, Jean Won, Suen, Emily, Paulus, Max A., Kim, Robin J., Parsons, Blake V., Human, Kelia A., Kim, Seung Sik, Patel, Manish, Reuther, William, Kim, Hyun Soo, Lee, Sung Hoon, Leedle, John D., Yun, Yeojeong, Rigali, Sarah, Son, Taeyoung, Jung, Inhwa, Soundararajan, Vinaya R., Ollech, Ayelet, Shukla, Avani, Bradley, Allison, Schau, Molly, Rand, Casey M., Marsillio, Lauren E., Harris, Zena L., Huang, Yonggang, Hamvas, Aaron, Paller, Amy S., Weese-Mayer, Debra E., Lee, Jong Yoon, Rogers, John A.

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Learning To Dive In Branch And Bound von Paulus, Max B, Krause, Andreas

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Radiometric measurements of the ionization constants of methyl orange and phenolphthalein ... by Max G. Paulus von Paulus, Max George, 1891

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Learning to Configure Separators in Branch-and-Cut von Li, Sirui, Ouyang, Wenbin, Paulus, Max B, Wu, Cathy

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Learning To Dive In Branch And Bound von Paulus, Max B, Krause, Andreas

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Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs von Miladinović, Đorđe, Shridhar, Kumar, Jain, Kushal, Paulus, Max B, Buhmann, Joachim M, Sachan, Mrinmaya, Allen, Carl

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Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning von Paulus, Max B, Zarpellon, Giulia, Krause, Andreas, Charlin, Laurent, Maddison, Chris J

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Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator von Paulus, Max B, Maddison, Chris J, Krause, Andreas

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Augment with Care: Contrastive Learning for Combinatorial Problems von Duan, Haonan, Vaezipoor, Pashootan, Paulus, Max B, Ruan, Yangjun, Maddison, Chris J

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Instance-wise algorithm configuration with graph neural networks von Valentin, Romeo, Ferrari, Claudio, Scheurer, Jérémy, Amrollahi, Andisheh, Wendler, Chris, Paulus, Max B

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Aurora Publications 2022 | 700.000+ records | Enriched with data measuring Societal Relevance, Societal Impact and Scientific Impact, using SDG's, Unpaywall, Altmetric, Scite and S... von Vanderfeesten, Maurice, Spielberg, Eike, Paulus, Max

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A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning von Huijben, Iris A. M, Kool, Wouter, Paulus, Max B, van Sloun, Ruud J. G

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Learning to Configure Separators in Branch-and-Cut von Li, Sirui, Ouyang, Wenbin, Paulus, Max B, Wu, Cathy

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Gradient Estimation with Stochastic Softmax Tricks von Paulus, Max B, Choi, Dami, Tarlow, Daniel, Krause, Andreas, Maddison, Chris J

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Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs von Miladinović, Đorđe, Kumar, Shridhar, Jain, Kushal, Paulus, Max B, Buhmann, Joachim M, Sachan, Mrinmaya, Allen, Carl

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Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator von Paulus, Max B, Maddison, Chris J, Krause, Andreas

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Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning von Paulus, Max B, Zarpellon, Giulia, Krause, Andreas, Charlin, Laurent, Maddison, Chris J

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Augment with Care: Contrastive Learning for Combinatorial Problems von Duan, Haonan, Vaezipoor, Pashootan, Paulus, Max B, Ruan, Yangjun, Maddison, Chris J

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