Learning Interpretable Differentiable Logic Networks for Tabular Regression

29 May 2025

Papers citing "Learning Interpretable Differentiable Logic Networks for Tabular Regression"

33 / 33 papers shown

Title
Learning Interpretable Differentiable Logic Networks Chang Yue N. Jha NAI AI4CE 50 1 0 04 Jul 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 136 515 0 30 Apr 2024
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving Yilong Zhao Chien-Yu Lin Kan Zhu Zihao Ye Lequn Chen Wenlei Bao Luis Ceze Arvind Krishnamurthy Tianqi Chen Baris Kasikci MQ 36 139 0 29 Oct 2023
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Elias Frantar Saleh Ashkboos Torsten Hoefler Dan Alistarh MQ 54 940 0 31 Oct 2022
Deep Differentiable Logic Gate Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen AI4CE 39 25 0 15 Oct 2022
Learning with Differentiable Algorithms Felix Petersen OOD 12 11 0 01 Sep 2022
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 48 62 0 30 Sep 2021
Logical Neural Networks Ryan Riegel Alexander G. Gray F. Luus Naweed Khan Ndivhuwo Makondo ... S. Ikbal Hima P. Karanam S. Neelam Ankita Likhyani S. Srivastava NAI 20 150 0 23 Jun 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 50 471 0 19 Jun 2020
Generalized and Scalable Optimal Sparse Decision Trees Jimmy J. Lin Chudi Zhong Diane Hu Cynthia Rudin Margo Seltzer 31 140 0 15 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 218 42,038 0 03 Dec 2019
Neural Logic Networks Shaoyun Shi Hanxiong Chen Min Zhang Yongfeng Zhang NAI AI4CE 23 16 0 17 Oct 2019
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 39 377 0 01 Oct 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 130 303 0 13 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 300 5,664 0 25 Jul 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 99 249 0 26 Apr 2019
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 183 166 0 17 Jul 2018
Deep Neural Decision Trees Yongxin Yang Irene Garcia Morillo Timothy M. Hospedales PINN 28 184 0 19 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 162 3,433 0 09 Mar 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 58 1,241 0 16 Dec 2017
Distilling a Neural Network Into a Soft Decision Tree Nicholas Frosst Geoffrey E. Hinton 177 635 0 27 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 446 21,459 0 22 May 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 161 620 0 05 Mar 2017
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 83 988 0 01 Dec 2016
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 126 3,636 0 24 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 129 4,342 0 16 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 519 16,765 0 16 Feb 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 220 6,628 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 198 19,448 0 09 Mar 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 127 2,775 0 20 Feb 2015
Supersparse Linear Integer Models for Optimized Medical Scoring Systems Berk Ustun Cynthia Rudin 56 352 0 15 Feb 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 157 7,252 0 20 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 296 3,099 0 15 Aug 2013