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2011.10219
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Certified Monotonic Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
20 November 2020
Xingchao Liu
Xing Han
Na Zhang
Qiang Liu
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Papers citing
"Certified Monotonic Neural Networks"
42 / 42 papers shown
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Certifiably robust malware detectors by design
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Wanlin Deng
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Functional Gradient Flows for Constrained Sampling
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Longlin Yu
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297
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247
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A Practical Theory of Generalization in Selectivity Learning
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Jiayan Pei
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A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
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376
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Model Reconstruction Using Counterfactual Explanations: Mitigating the Decision Boundary Shift
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Compiling High-Level Neural Network Specifications into VNN-LIB Queries
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Wen Kokke
R. Atkey
307
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The Pros and Cons of Adversarial Robustness
Yacine Izza
Sasha Rubin
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259
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18 Dec 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning
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Nikola Jovanović
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360
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Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
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181
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Monotone Tree-Based GAMI Models by Adapting XGBoost
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Soroush Aramideh
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194
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Expressive Monotonic Neural Networks
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O. Kitouni
Niklas Nolte
Mike Williams
240
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Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
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786
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29 Apr 2023
How to address monotonicity for model risk management?
International Conference on Machine Learning (ICML), 2023
Dangxing Chen
Weicheng Ye
244
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28 Apr 2023
An interpretable neural network-based non-proportional odds model for ordinal regression
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Kazuharu Harada
328
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Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance
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195
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Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting
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Fei Teng
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167
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Feature Necessity & Relevancy in ML Classifier Explanations
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Martin C. Cooper
António Morgado
Jordi Planes
Sasha Rubin
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265
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27 Oct 2022
Private Isotonic Regression
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Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
263
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27 Oct 2022
Logic-Based Explainability in Machine Learning
Sasha Rubin
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556
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24 Oct 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
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Zhouxing Shi
Yihan Wang
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Zico Kolter
Cho-Jui Hsieh
447
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13 Oct 2022
Shape-constrained Symbolic Regression with NSGA-III
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C. Haider
152
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28 Sep 2022
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring
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Dangxing Chen
Weicheng Ye
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286
17
0
21 Sep 2022
Size and depth of monotone neural networks: interpolation and approximation
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Dan Mikulincer
Daniel Reichman
252
11
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12 Jul 2022
Constrained Monotonic Neural Networks
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D. Runje
Sharath M. Shankaranarayana
332
43
0
24 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks
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Ouns El Harzli
Bernardo Cuenca Grau
Ian Horrocks
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409
11
0
19 May 2022
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification
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João Monteiro
Mohamed Osama Ahmed
Hossein Hajimirsadeghi
Greg Mori
146
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0
17 May 2022
Robust and Provably Monotonic Networks
O. Kitouni
Niklas Nolte
Mike Williams
268
13
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Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
Shaojie Xu
J. Vaughan
Jie Chen
Aijun Zhang
Agus Sudjianto
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217
16
0
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Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu
Xingchao Liu
Xiaojie Jin
Peter Stone
Qiang Liu
515
484
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26 Oct 2021
Using Shape Constraints for Improving Symbolic Regression Models
C. Haider
F. O. França
Bogdan Burlacu
G. Kronberger
160
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0
20 Jul 2021
Explanations for Monotonic Classifiers
International Conference on Machine Learning (ICML), 2021
Sasha Rubin
Thomas Gerspacher
M. Cooper
Alexey Ignatiev
Nina Narodytska
FAtt
407
59
0
01 Jun 2021
Optimization with learning-informed differential equation constraints and its applications
E S A I M: Control, Optimisation and Calculus of Variations (ESAIM: COCV), 2020
Guozhi Dong
M. Hintermueller
Kostas Papafitsoros
PINN
199
16
0
25 Aug 2020
Counterexample-Guided Learning of Monotonic Neural Networks
Aishwarya Sivaraman
G. Farnadi
T. Millstein
Karen Ullrich
299
63
0
16 Jun 2020
Learning Monotone Dynamics by Neural Networks
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Yu Wang
Qitong Gao
Miroslav Pajic
170
2
0
11 Jun 2020
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