Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

31 May 2023

Papers citing "Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts"

30 / 30 papers shown

Title
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 131 0 0 28 Apr 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 55 0 0 25 Mar 2025
Neuro-symbolic Weak Supervision: Theory and Semantics Nijesh Upreti Vaishak Belle NAI 42 0 0 24 Mar 2025
A Learnability Analysis on Neuro-Symbolic Learning Hao He Ming Li 56 0 0 21 Mar 2025
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 71 0 0 05 Mar 2025
Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search Alessandro Daniele Emile van Krieken 62 0 0 03 Mar 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 66 0 0 13 Feb 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 65 9 0 09 Jan 2025
Understanding the Logic of Direct Preference Alignment through Logic Kyle Richardson Vivek Srikumar Ashish Sabharwal 85 2 0 23 Dec 2024
Learning Predictive Checklists with Probabilistic Logic Programming Yukti Makhija E. Brouwer Rahul G. Krishnan 69 0 0 25 Nov 2024
MARS: A neurosymbolic approach for interpretable drug discovery L. Delong Yojana Gadiya Paola Galdi Jacques D. Fleuriot Daniel Domingo-Fernández 123 2 0 02 Oct 2024
LTNtorch: PyTorch Implementation of Logic Tensor Networks Tommaso Carraro Luciano Serafini F. Aiolli 35 9 0 24 Sep 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 48 8 0 12 Sep 2024
Logically Consistent Language Models via Neuro-Symbolic Integration Diego Calanzone Stefano Teso Antonio Vergari LRM 76 6 0 09 Sep 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 25 6 0 21 Aug 2024
On the Independence Assumption in Neurosymbolic Learning Emile van Krieken Pasquale Minervini E. Ponti Antonio Vergari 48 10 0 12 Apr 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 41 18 0 19 Feb 2024
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning Daniel Cunnington Mark Law Jorge Lobo Alessandra Russo NAI 34 7 0 02 Feb 2024
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 30 13 0 14 Sep 2023
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees Lue Tao Yu-Xuan Huang Wang-Zhou Dai Yuan Jiang 19 4 0 21 Aug 2023
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 79 52 0 19 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 91 26 0 04 Dec 2021
On the relationship between disentanglement and multi-task learning Lukasz Maziarka A. Nowak Maciej Wołczyk Andrzej Bedychaj OOD DRL 27 3 0 07 Oct 2021
Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia Thomas Lukasiewicz AILaw 37 96 0 20 Oct 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 89 72 0 06 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 181 313 0 07 Feb 2020
Logic Tensor Networks for Semantic Image Interpretation Ivan Donadello Luciano Serafini Artur Garcez 56 209 0 24 May 2017