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Monotonic Calibrated Interpolated Look-Up Tables

23 May 2015

Papers citing "Monotonic Calibrated Interpolated Look-Up Tables"

48 / 48 papers shown

Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Davide Sartor Alberto Sinigaglia Gian Antonio Susto 204 0 0 05 May 2025
Constrained Machine Learning Through Hyperspherical Representation Gaetano Signorelli Michele Lombardi 66 0 0 11 Apr 2025
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 663 15 0 04 Oct 2023
XClusters: Explainability-first Clustering Hyunseung Hwang Steven Euijong Whang 52 5 0 22 Sep 2022
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge Liron Simon Keren A. Liberzon Teddy Lazebnik 112 83 0 13 Sep 2022
Size and depth of monotone neural networks: interpolation and approximation Dan Mikulincer Daniel Reichman 82 7 0 12 Jul 2022
Neural Inverse Transform Sampler Henry Li Y. Kluger 52 4 0 22 Jun 2022
Constrained Monotonic Neural Networks D. Runje Sharath M. Shankaranarayana 51 20 0 24 May 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 81 5 0 04 Feb 2022
Global Optimization Networks Sen Zhao Erez Louidor Ilan Oleksandr Mangylov Maya R. Gupta 111 6 0 02 Feb 2022
Deep Non-Crossing Quantiles through the Partial Derivative Axel Brando J. Gimeno Jose A. Rodríguez-Serrano Jordi Vitrià 144 13 0 30 Jan 2022
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 89 13 0 24 Nov 2021
A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning Alix Lhéritier Nicolas Bondoux 38 5 0 01 Oct 2021
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 113 17 0 04 Sep 2021
A framework for massive scale personalized promotion Yitao Shen Yue Wang Xingyu Lu Feng Qi Jia Yan Yixiang Mu Yao Yang YiFan Peng Jinjie Gu 107 3 0 27 Aug 2021
Explanations for Monotonic Classifiers Sasha Rubin Thomas Gerspacher M. Cooper Alexey Ignatiev Nina Narodytska FAtt 93 46 0 01 Jun 2021
Shape-constrained Symbolic Regression -- Improving Extrapolation with Prior Knowledge G. Kronberger F. O. França Bogdan Burlacu C. Haider M. Kommenda 61 47 0 29 Mar 2021
Regularization Strategies for Quantile Regression Taman Narayan S. Wang K. Canini Maya R. Gupta 38 0 0 09 Feb 2021
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra Nikolaos Dimitriadis Petros Maragos 102 9 0 15 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 105 1 0 12 Nov 2020
Compensating data shortages in manufacturing with monotonicity knowledge Martin von Kurnatowski J. Schmid Patrick Link Rebekka Zache L. Morand T. Kraft Ingo Schmidt Anke Stoll 44 10 0 29 Oct 2020
Deep Conditional Transformation Models Philipp F. M. Baumann Torsten Hothorn David Rügamer 46 29 0 15 Oct 2020
Neural Mixture Distributional Regression David Rügamer Florian Pfisterer B. Bischl BDL 103 6 0 14 Oct 2020
Counterexample-Guided Learning of Monotonic Neural Networks Aishwarya Sivaraman G. Farnadi T. Millstein Guy Van den Broeck 57 53 0 16 Jun 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 103 52 0 24 May 2020
Consistent and Flexible Selectivity Estimation for High-Dimensional Data Yaoshu Wang Chuan Xiao Jianbin Qin Rui Mao Onizuka Makoto Wei Wang Rui Zhang Yoshiharu Ishikawa 52 14 0 20 May 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 87 195 0 23 Apr 2020
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer Xide Xia Meng Zhang Tianfan Xue Zheng Sun Hui Fang Brian Kulis Jiawen Chen 3DH 80 52 0 23 Apr 2020
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach Yaoshu Wang Chuan Xiao Jianbin Qin Xin Cao Yifang Sun Wei Wang Makoto Onizuka 58 25 0 15 Feb 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation Marco Cuturi O. Teboul Jonathan Niles-Weed Jean-Philippe Vert 34 3 0 08 Feb 2020
Deontological Ethics By Monotonicity Shape Constraints S. Wang Maya R. Gupta 69 21 0 31 Jan 2020
Signal Combination for Language Identification Shengye Wang Li Wan Yang Yu Ignacio López Moreno 67 12 0 21 Oct 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 258 150 0 14 Aug 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 73 285 0 05 Feb 2019
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead Cynthia Rudin ELM FaML 88 219 0 26 Nov 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 87 158 0 11 Sep 2018
Inferring Multidimensional Rates of Aging from Cross-Sectional Data Emma Pierson Pang Wei Koh Tatsunori Hashimoto D. Koller J. Leskovec N. Eriksson Percy Liang 65 10 0 12 Jul 2018
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints Andrew Cotter Maya R. Gupta Heinrich Jiang Nathan Srebro Karthik Sridharan S. Wang Blake E. Woodworth Seungil You FaML 92 105 0 29 Jun 2018
Proxy Fairness Maya R. Gupta Andrew Cotter M. M. Fard S. Wang 83 71 0 28 Jun 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 70 40 0 22 Jun 2018
Interpretable Set Functions Andrew Cotter Maya R. Gupta Heinrich Jiang J. Muller Taman Narayan S. Wang Tao Zhu 74 7 0 31 May 2018
Processing of missing data by neural networks Marek Śmieja Lukasz Struski Jacek Tabor Bartosz Zieliñski Przemysław Spurek AI4TS 88 113 0 18 May 2018
The Case for Learned Index Structures Tim Kraska Alex Beutel Ed H. Chi J. Dean N. Polyzotis 96 1,046 0 04 Dec 2017
Deep Lattice Networks and Partial Monotonic Functions Seungil You David Ding K. Canini Jan Pfeifer Maya R. Gupta 113 150 0 19 Sep 2017
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing Wesley Tansey Jesse Thomason James G. Scott 47 4 0 06 Aug 2017
DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization Amir Ali Ahmadi Anirudha Majumdar 86 217 0 08 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 424 3,828 0 28 Feb 2017
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 205 84 0 01 Oct 2016