LassoNet: A Neural Network with Feature Sparsity

29 July 2019

Papers citing "LassoNet: A Neural Network with Feature Sparsity"

50 / 53 papers shown

Title
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation Olawale Salaudeen Anka Reuel Ahmed M. Ahmed Suhana Bedi Zachary Robertson Shri Kiran Srinivasan Ben Domingue Angelina Wang Sanmi Koyejo ELM 14 1 0 13 May 2025
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It Jianhao Li Xianchao Xiu 44 0 0 31 Mar 2025
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation Witold Wydmański Marek Śmieja 34 0 0 17 Mar 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 57 0 0 12 Mar 2025
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference Tianyu Cui Song-Jun Xu Artem Moskalev Shuwei Li Tommaso Mansi Mangal Prakash Rui Liao BDL 73 0 0 06 Mar 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Training a neural netwok for data reduction and better generalization S. Sardy Maxime van Cutsem Xiaoyu Ma MLT 72 0 0 26 Nov 2024
EntryPrune: Neural Network Feature Selection using First Impressions Felix Zimmer Patrik Okanovic Torsten Hoefler 29 0 0 03 Oct 2024
Exploring Large Language Models for Feature Selection: A Data-centric Perspective Dawei Li Zhen Tan Huan Liu LM&MA 49 8 0 21 Aug 2024
Unveiling the Power of Sparse Neural Networks for Feature Selection Zahra Atashgahi Tennison Liu Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu M. Schaar 31 3 0 08 Aug 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 35 1 0 16 Jul 2024
Dual feature reduction for the sparse-group lasso and its adaptive variant Fabio Feser Marina Evangelou 35 0 0 27 May 2024
A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets Karim Salta T. Ghosh Michael Kirby 25 0 0 04 May 2024
Study Features via Exploring Distribution Structure Chunxu Cao Qiang Zhang 11 0 0 15 Jan 2024
Feature Selection via Maximizing Distances between Class Conditional Distributions Chunxu Cao Qiang Zhang 18 0 0 15 Jan 2024
A Contrast Based Feature Selection Algorithm for High-dimensional Data set in Machine Learning Chunxu Cao Qiang Zhang 17 1 0 15 Jan 2024
Deep Learning for Efficient GWAS Feature Selection Kexuan Li 26 0 0 22 Dec 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning Valeriia Cherepanova Roman Levin Gowthami Somepalli Jonas Geiping C. Bayan Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 34 18 0 10 Nov 2023
Feature Selection in the Contrastive Analysis Setting Ethan Weinberger Ian Covert Su-In Lee 40 2 0 27 Oct 2023
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing Daniel Siegismund Mario Wieser S. Heyse Stephan Steigele 31 1 0 31 Aug 2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models Amirhossein Arzani Lingxiao Yuan P. Newell Bei Wang AI4CE 36 7 0 10 Jul 2023
Sparse-Input Neural Network using Group Concave Regularization Bin Luo S. Halabi 14 2 0 01 Jul 2023
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder T. Ghosh Michael Kirby 39 0 0 07 Jun 2023
Effective Neural Network $L_0$ Regularization With BinMask Kai Jia Martin Rinard 34 3 0 21 Apr 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks Yihe Dong Sercan Ö. Arik 32 3 0 06 Apr 2023
How good Neural Networks interpretation methods really are? A quantitative benchmark Antoine Passemiers Pietro Folco D. Raimondi G. Birolo Yves Moreau P. Fariselli FAtt 24 2 0 05 Apr 2023
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks Zahra Atashgahi Xuhao Zhang Neil Kichler Shiwei Liu Lu Yin Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu 18 10 0 10 Mar 2023
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection Louis Ohl Pierre-Alexandre Mattei C. Bouveyron Mickael Leclercq Arnaud Droit F. Precioso VLM 6 2 0 07 Feb 2023
SPARLING: Learning Latent Representations with Extremely Sparse Activations Kavi Gupta Osbert Bastani Armando Solar-Lezama 16 1 0 03 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 33 4 0 02 Feb 2023
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 21 4 0 06 Dec 2022
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 35 5 0 30 Nov 2022
Variable selection for nonlinear Cox regression model via deep learning Kexuan Li 33 6 0 17 Nov 2022
Sparsity in Continuous-Depth Neural Networks H. Aliee Till Richter Mikhail Solonin I. Ibarra Fabian J. Theis Niki Kilbertus 29 10 0 26 Oct 2022
Temporally Disentangled Representation Learning Weiran Yao Guangyi Chen Kun Zhang CML BDL OOD 32 48 0 24 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors Kristy Choi Chris Cundy Sanjari Srivastava Stefano Ermon BDL 56 38 0 22 Oct 2022
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression Jianqing Fan Yihong Gu 16 21 0 05 Oct 2022
Error Controlled Feature Selection for Ultrahigh Dimensional and Highly Correlated Feature Space Using Deep Learning Arkaprabha Ganguli D. Todem T. Maiti OOD 23 0 0 15 Sep 2022
MarkerMap: nonlinear marker selection for single-cell studies Nabeel Sarwar Wilson Gregory George A. Kevrekidis Soledad Villar Bianca Dumitrascu 11 4 0 28 Jul 2022
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks Kexuan Li Fangfang Wang Lingli Yang Ruiqi Liu 35 33 0 04 Apr 2022
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection T. Ghosh Michael Kirby 20 0 0 30 Jan 2022
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 16 6 0 21 Dec 2021
Learning Temporally Causal Latent Processes from General Temporal Data Weiran Yao Yuewen Sun Alex Ho Changyin Sun Kun Zhang BDL CML 35 85 0 11 Oct 2021
LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links Akihito Sudo Teck-Hou Teng Masaki Yamaguchi Yoshinori Tone 18 0 0 27 Aug 2021
LocalGLMnet: interpretable deep learning for tabular data Ronald Richman M. Wüthrich LMTD FAtt 30 27 0 23 Jul 2021
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks Kexuan Li Fangfang Wang Ruiqi Liu Fan Yang Zuofeng Shang 29 7 0 07 Jun 2021
Panel semiparametric quantile regression neural network for electricity consumption forecasting Xingcai Zhou Jiangyan Wang AI4TS 14 16 0 01 Mar 2021
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 30 34 0 07 Feb 2021
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief Zhenhua Shi Dongrui Wu Chenfeng Guo Changming Zhao Yuqi Cui Fei-Yue Wang 23 52 0 30 Nov 2020
Towards Learning Convolutions from Scratch Behnam Neyshabur SSL 220 71 0 27 Jul 2020