ResearchTrend.AI
Interpretable Neural-Symbolic Concept Reasoning
v1v2 (latest)

Interpretable Neural-Symbolic Concept Reasoning

Pietro Barbiero
Gabriele Ciravegna
Francesco Giannini
M. Zarlenga
Lucie Charlotte Magister
Alberto Tonda
Pietro Lio
F. Precioso
M. Jamnik
G. Marra
ArXiv (abs)PDFHTML

Papers citing "Interpretable Neural-Symbolic Concept Reasoning"

12 / 12 papers shown
Title
Towards Reasonable Concept Bottleneck Models
Nektarios Kalampalikis
Kavya Gupta
Georgi Vitanov
Isabel Valera
LRM
101
0
0
05 Jun 2025
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
Yibo Gao
Hangqi Zhou
Zheyao Gao
Bomin Wang
Shangqi Gao
Sihan Wang
Xiahai Zhuang
73
0
0
20 May 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
Nicola Debole
Pietro Barbiero
Francesco Giannini
Andrea Passerini
Stefano Teso
Emanuele Marconato
525
1
0
28 Apr 2025
Seeing Through Risk: A Symbolic Approximation of Prospect Theory
Seeing Through Risk: A Symbolic Approximation of Prospect Theory
Ali Arslan Yousaf
Umair Rehman
Muhammad Umair Danish
110
0
0
20 Apr 2025
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
S. Kapse
Pushpak Pati
Srikar Yellapragada
Srijan Das
Rajarsi R. Gupta
Joel H. Saltz
Dimitris Samaras
Prateek Prasanna
VLM
107
1
0
01 Apr 2025
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
Danial Hooshyar
Eve Kikas
Yeongwook Yang
Gustav Šír
Raija Hamalainen
T. Karkkainen
Roger Azevedo
126
1
0
01 Apr 2025
Causally Reliable Concept Bottleneck Models
Causally Reliable Concept Bottleneck Models
Giovanni De Felice
Arianna Casanova Flores
Francesco De Santis
Silvia Santini
Johannes Schneider
Pietro Barbiero
Alberto Termine
139
4
0
06 Mar 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xuelong Li
166
12
0
03 Jan 2025
Semi-supervised Concept Bottleneck Models
Semi-supervised Concept Bottleneck Models
Lijie Hu
Tianhao Huang
Huanyi Xie
Chenyang Ren
Zhengyu Hu
Lu Yu
Lu Yu
Ping Ma
Di Wang
148
9
0
27 Jun 2024
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
Alessandro Daniele
Tommaso Campari
Sagar Malhotra
Luciano Serafini
100
1
0
21 Feb 2024
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
136
5
0
01 Jun 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,197
0
16 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.