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Learning to Maximize Mutual Information for Dynamic Feature Selection
v1v2 (latest)

Learning to Maximize Mutual Information for Dynamic Feature Selection

2 January 2023
Ian Covert
Wei Qiu
Mingyu Lu
Nayoon Kim
Nathan White
Su-In Lee
ArXiv (abs)PDFHTML

Papers citing "Learning to Maximize Mutual Information for Dynamic Feature Selection"

25 / 25 papers shown
Title
FRET: Feature Redundancy Elimination for Test Time Adaptation
FRET: Feature Redundancy Elimination for Test Time Adaptation
Linjing You
Jiabao Lu
Xiayuan Huang
Xiangli Nie
105
0
0
15 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz
Julia E. Vogt
136
0
0
09 May 2025
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
Yuyan Ge
Kwan Ho Ryan Chan
Pablo Messina
René Vidal
78
0
0
30 Apr 2025
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation
Witold Wydmański
Marek Śmieja
74
0
0
17 Mar 2025
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Katsumi Takahashi
Koh Takeuchi
Hisashi Kashima
83
0
0
13 Mar 2025
Predicting Through Generation: Why Generation Is Better for Prediction
Predicting Through Generation: Why Generation Is Better for Prediction
Md. Kowsher
Nusrat Jahan Prottasha
Prakash Bhat
Chun-Nam Yu
Mojtaba Soltanalian
Ivan Garibay
O. Garibay
Chen Chen
Niloofar Yousefi
AI4TS
263
1
0
25 Feb 2025
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
Ehsan Hallaji
R. Razavi-Far
M. Saif
62
0
0
11 Feb 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Helia Hashemi
J. Eisner
Corby Rosset
Benjamin Van Durme
Chris Kedzie
150
6
0
03 Jan 2025
All models are wrong, some are useful: Model Selection with Limited
  Labels
All models are wrong, some are useful: Model Selection with Limited Labels
Patrik Okanovic
Andreas Kirsch
Jannes Kasper
Torsten Hoefler
Andreas Krause
Nezihe Merve Gürel
VLM
59
1
0
17 Oct 2024
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing
  Conditional Mutual Information
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
Fedor Sergeev
Paola Malsot
Gunnar Rätsch
Vincent Fortuin
AI4TS
91
0
0
18 Jul 2024
Local Feature Selection without Label or Feature Leakage for
  Interpretable Machine Learning Predictions
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
Harrie Oosterhuis
Lijun Lyu
Avishek Anand
FAtt
123
1
0
16 Jul 2024
Partial Information Decomposition for Data Interpretability and Feature
  Selection
Partial Information Decomposition for Data Interpretability and Feature Selection
Charles Westphal
Stephen Hailes
Mirco Musolesi
89
0
0
29 May 2024
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion
  Detection Systems
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
Phai Vu Dinh
Diep N. Nguyen
D. Hoang
Nguyen Quang Uy
E. Dutkiewicz
Son Pham Bao
63
1
0
22 Mar 2024
Information-Theoretic Distillation for Reference-less Summarization
Information-Theoretic Distillation for Reference-less Summarization
Jaehun Jung
Ximing Lu
Liwei Jiang
Faeze Brahman
Peter West
Pang Wei Koh
Yejin Choi
89
6
0
20 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought
  Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
103
15
0
05 Mar 2024
Constrained Multiview Representation for Self-supervised Contrastive
  Learning
Constrained Multiview Representation for Self-supervised Contrastive Learning
Siyuan Dai
Kai Ye
Kun Zhao
Ge Cui
Haoteng Tang
Liang Zhan
SSL
53
1
0
05 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and
  Data Attribution
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
TDI
124
11
0
29 Jan 2024
MINT: A wrapper to make multi-modal and multi-image AI models
  interactive
MINT: A wrapper to make multi-modal and multi-image AI models interactive
Jan Freyberg
Abhijit Guha Roy
Terry Spitz
Beverly Freeman
M. Schaekermann
...
D. Webster
Alan Karthikesalingam
Yun-Hui Liu
Krishnamurthy Dvijotham
Umesh Telang
85
1
0
22 Jan 2024
Information-Theoretic State Variable Selection for Reinforcement
  Learning
Information-Theoretic State Variable Selection for Reinforcement Learning
Charles Westphal
Stephen Hailes
Mirco Musolesi
78
3
0
21 Jan 2024
Contextual Feature Selection with Conditional Stochastic Gates
Contextual Feature Selection with Conditional Stochastic Gates
Ram Dyuthi Sristi
Ofir Lindenbaum
Shira Lifshitz
Maria Lavzin
Jackie Schiller
Zhengchao Wan
Hadas Benisty
74
2
0
21 Dec 2023
Feature Selection in the Contrastive Analysis Setting
Feature Selection in the Contrastive Analysis Setting
Ethan Weinberger
Ian Covert
Su-In Lee
62
2
0
27 Oct 2023
Variational Information Pursuit with Large Language and Multimodal
  Models for Interpretable Predictions
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions
Kwan Ho Ryan Chan
Aditya Chattopadhyay
B. Haeffele
René Vidal
67
0
0
24 Aug 2023
A distributed neural network architecture for dynamic sensor selection
  with application to bandwidth-constrained body-sensor networks
A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks
Thomas Strypsteen
Alexander Bertrand
36
0
0
16 Aug 2023
Estimating Conditional Mutual Information for Dynamic Feature Selection
Estimating Conditional Mutual Information for Dynamic Feature Selection
Soham Gadgil
Ian Covert
Su-In Lee
99
3
0
05 Jun 2023
Experimental Design for Multi-Channel Imaging via Task-Driven Feature
  Selection
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Stefano B. Blumberg
Paddy J. Slator
Daniel C. Alexander
107
1
0
13 Oct 2022
1