eXpLogic: Explaining Logic Types and Patterns in DiffLogic Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Wormald, Stephen, Koblah, David, Maldaner, Matheus Kunzler, Forte, Domenic, Woodard, Damon L. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Resource Utilization of Differentiable Logic Gate Networks Deployed on FPGAs
by: Wormald, Stephen, et al.
Published: (2026)
by: Wormald, Stephen, et al.
Published: (2026)
Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
by: Hussain, Mohyeu, et al.
Published: (2026)
by: Hussain, Mohyeu, et al.
Published: (2026)
Explaining Neural Networks in Preference Learning: a Post-hoc Inductive Logic Programming Approach
by: Fossemò, Daniele, et al.
Published: (2026)
by: Fossemò, Daniele, et al.
Published: (2026)
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
by: Bacellar, Alan T. L., et al.
Published: (2026)
by: Bacellar, Alan T. L., et al.
Published: (2026)
Logical Distillation of Graph Neural Networks
by: Pluska, Alexander, et al.
Published: (2024)
by: Pluska, Alexander, et al.
Published: (2024)
Fitting Multilinear Polynomials for Logic Gate Networks
by: Kim, Youngsung
Published: (2026)
by: Kim, Youngsung
Published: (2026)
Propositional Logic for Probing Generalization in Neural Networks
by: Langedijk, Anna, et al.
Published: (2025)
by: Langedijk, Anna, et al.
Published: (2025)
Subjective Logic Encodings
by: Vasilakes, Jake, et al.
Published: (2025)
by: Vasilakes, Jake, et al.
Published: (2025)
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
by: Lin, Bill Yuchen, et al.
Published: (2025)
by: Lin, Bill Yuchen, et al.
Published: (2025)
Understanding Domain-Size Generalization in Markov Logic Networks
by: Chen, Florian, et al.
Published: (2024)
by: Chen, Florian, et al.
Published: (2024)
Neuro-Logic Lifelong Learning
by: He, Bowen, et al.
Published: (2025)
by: He, Bowen, et al.
Published: (2025)
Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
by: He, Yunjie, et al.
Published: (2023)
by: He, Yunjie, et al.
Published: (2023)
ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale
by: Thomas, Noel
Published: (2026)
by: Thomas, Noel
Published: (2026)
A Method for Optimizing Connections in Differentiable Logic Gate Networks
by: Mommen, Wout, et al.
Published: (2025)
by: Mommen, Wout, et al.
Published: (2025)
Variable Assignment Invariant Neural Networks for Learning Logic Programs
by: Phua, Yin Jun, et al.
Published: (2024)
by: Phua, Yin Jun, et al.
Published: (2024)
Neural Logic Networks for Interpretable Classification
by: Perreault, Vincent, et al.
Published: (2025)
by: Perreault, Vincent, et al.
Published: (2025)
Self-Supervised Inductive Logic Programming
by: Patsantzis, Stassa
Published: (2025)
by: Patsantzis, Stassa
Published: (2025)
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
by: Li, Cheryl, et al.
Published: (2025)
by: Li, Cheryl, et al.
Published: (2025)
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals
by: Guven, Yusuf, et al.
Published: (2024)
by: Guven, Yusuf, et al.
Published: (2024)
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
by: Koklu, Ata, et al.
Published: (2024)
by: Koklu, Ata, et al.
Published: (2024)
The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
by: Sälzer, Marco, et al.
Published: (2025)
by: Sälzer, Marco, et al.
Published: (2025)
Interpretable Classification via a Rule Network with Selective Logical Operators
by: Wei, Bowen, et al.
Published: (2024)
by: Wei, Bowen, et al.
Published: (2024)
Digital Metabolism: Decoupling Logic from Facts via Regenerative Unlearning -- Towards a Pure Neural Logic Core
by: Peng, Mengmeng, et al.
Published: (2026)
by: Peng, Mengmeng, et al.
Published: (2026)
Label Distribution Learning from Logical Label
by: Jia, Yuheng, et al.
Published: (2023)
by: Jia, Yuheng, et al.
Published: (2023)
Multitask Kernel-based Learning with Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2024)
by: Diligenti, Michelangelo, et al.
Published: (2024)
Learning with Logical Constraints but without Shortcut Satisfaction
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
Neuro-symbolic Learning Yielding Logical Constraints
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
Regional, Lattice and Logical Representations of Neural Networks
by: Preto, Sandro, et al.
Published: (2025)
by: Preto, Sandro, et al.
Published: (2025)
Logic Tensor Network-Enhanced Generative Adversarial Network
by: Upreti, Nijesh, et al.
Published: (2026)
by: Upreti, Nijesh, et al.
Published: (2026)
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
by: Meli, Daniele, et al.
Published: (2024)
by: Meli, Daniele, et al.
Published: (2024)
Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
by: Bi, Zhen, et al.
Published: (2025)
by: Bi, Zhen, et al.
Published: (2025)
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
by: Chung, Tsz Ting, et al.
Published: (2025)
by: Chung, Tsz Ting, et al.
Published: (2025)
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
by: He, Kang, et al.
Published: (2025)
by: He, Kang, et al.
Published: (2025)
Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
by: Kim, Youngsung
Published: (2026)
by: Kim, Youngsung
Published: (2026)
The Viscosity of Logic: Phase Transitions and Hysteresis in DPO Alignment
by: Pollanen, Marco
Published: (2026)
by: Pollanen, Marco
Published: (2026)
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning
by: Sun, Fengsong, et al.
Published: (2024)
by: Sun, Fengsong, et al.
Published: (2024)
Standard Neural Computation Alone Is Insufficient for Logical Intelligence
by: Kim, Youngsung
Published: (2025)
by: Kim, Youngsung
Published: (2025)
Comparing Neural Network Encodings for Logic-based Explainability
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)
Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks
by: Zhang, Yuxiang, et al.
Published: (2026)
by: Zhang, Yuxiang, et al.
Published: (2026)
Similar Items
-
Resource Utilization of Differentiable Logic Gate Networks Deployed on FPGAs
by: Wormald, Stephen, et al.
Published: (2026) -
Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
by: Hussain, Mohyeu, et al.
Published: (2026) -
Explaining Neural Networks in Preference Learning: a Post-hoc Inductive Logic Programming Approach
by: Fossemò, Daniele, et al.
Published: (2026) -
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
by: Bacellar, Alan T. L., et al.
Published: (2026) -
Logical Distillation of Graph Neural Networks
by: Pluska, Alexander, et al.
Published: (2024)