Saved in:
| Main Authors: | Dalal, Abhilekha, Hitzler, Pascal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.05311 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Error-margin Analysis for Hidden Neuron Activation Labels
by: Dalal, Abhilekha, et al.
Published: (2024)
by: Dalal, Abhilekha, et al.
Published: (2024)
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
by: Dalal, Abhilekha, et al.
Published: (2024)
by: Dalal, Abhilekha, et al.
Published: (2024)
Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
by: Okonoda, Michael, et al.
Published: (2026)
by: Okonoda, Michael, et al.
Published: (2026)
Concept Induction using LLMs: a user experiment for assessment
by: Barua, Adrita, et al.
Published: (2024)
by: Barua, Adrita, et al.
Published: (2024)
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
by: Bortolotti, Samuele, et al.
Published: (2025)
by: Bortolotti, Samuele, et al.
Published: (2025)
Towards Understanding Extrapolation: a Causal Lens
by: Kong, Lingjing, et al.
Published: (2025)
by: Kong, Lingjing, et al.
Published: (2025)
Global Concept Explanations for Graphs by Contrastive Learning
by: Teufel, Jonas, et al.
Published: (2024)
by: Teufel, Jonas, et al.
Published: (2024)
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
by: Jeong, Jihwan, et al.
Published: (2025)
by: Jeong, Jihwan, et al.
Published: (2025)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens
by: Chen, Ziliang, et al.
Published: (2025)
by: Chen, Ziliang, et al.
Published: (2025)
Understanding Transformers through the Lens of Pavlovian Conditioning
by: Qiao, Mu
Published: (2025)
by: Qiao, Mu
Published: (2025)
Accelerating Knowledge Graph and Ontology Engineering with Large Language Models
by: Shimizu, Cogan, et al.
Published: (2024)
by: Shimizu, Cogan, et al.
Published: (2024)
Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
by: Lawsen, A.
Published: (2025)
by: Lawsen, A.
Published: (2025)
Gradient Boosting Reinforcement Learning
by: Fuhrer, Benjamin, et al.
Published: (2024)
by: Fuhrer, Benjamin, et al.
Published: (2024)
A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
by: Sarma, Moumita Sen, et al.
Published: (2026)
by: Sarma, Moumita Sen, et al.
Published: (2026)
Gradient Dynamics of Attention: How Cross-Entropy Sculpts Bayesian Manifolds
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
The Bayesian Geometry of Transformer Attention
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
Geometric Scaling of Bayesian Inference in LLMs
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
Pixel-Wise Recognition for Holistic Surgical Scene Understanding
by: Ayobi, Nicolás, et al.
Published: (2024)
by: Ayobi, Nicolás, et al.
Published: (2024)
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
by: Achtibat, Reduan, et al.
Published: (2022)
by: Achtibat, Reduan, et al.
Published: (2022)
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
by: Park, Seonghwan, et al.
Published: (2025)
by: Park, Seonghwan, et al.
Published: (2025)
Reversing the Lens: Using Explainable AI to Understand Human Expertise
by: Rahman, Roussel, et al.
Published: (2025)
by: Rahman, Roussel, et al.
Published: (2025)
Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)
by: Valensi, David, et al.
Published: (2024)
More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
by: Dalal, Gal, et al.
Published: (2026)
by: Dalal, Gal, et al.
Published: (2026)
Unlocking Generalization for Robotics via Modularity and Scale
by: Dalal, Murtaza
Published: (2025)
by: Dalal, Murtaza
Published: (2025)
Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference
by: Dalal, Siddhartha, et al.
Published: (2024)
by: Dalal, Siddhartha, et al.
Published: (2024)
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
by: Shojaee, Parshin, et al.
Published: (2025)
by: Shojaee, Parshin, et al.
Published: (2025)
Understanding Visual Concepts Across Models
by: Trabucco, Brandon, et al.
Published: (2024)
by: Trabucco, Brandon, et al.
Published: (2024)
Deep Knowledge-Infusion For Explainable Depression Detection
by: Dalal, Sumit, et al.
Published: (2024)
by: Dalal, Sumit, et al.
Published: (2024)
Policy Gradient with Tree Expansion
by: Dalal, Gal, et al.
Published: (2023)
by: Dalal, Gal, et al.
Published: (2023)
Time Series Forecasting Through the Lens of Dynamics
by: Brachet, Alexis-Raja, et al.
Published: (2025)
by: Brachet, Alexis-Raja, et al.
Published: (2025)
Disentangling Hyperedges through the Lens of Category Theory
by: Lee, Yoonho, et al.
Published: (2025)
by: Lee, Yoonho, et al.
Published: (2025)
GPT-2 Through the Lens of Vector Symbolic Architectures
by: Knittel, Johannes, et al.
Published: (2024)
by: Knittel, Johannes, et al.
Published: (2024)
Weak-to-Strong Generalization Through the Data-Centric Lens
by: Shin, Changho, et al.
Published: (2024)
by: Shin, Changho, et al.
Published: (2024)
Understanding Machine Unlearning Through the Lens of Mode Connectivity
by: Cheng, Jiali, et al.
Published: (2025)
by: Cheng, Jiali, et al.
Published: (2025)
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
by: Chen, Shuangyi, et al.
Published: (2025)
by: Chen, Shuangyi, et al.
Published: (2025)
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning
by: Sokar, Ghada, et al.
Published: (2025)
by: Sokar, Ghada, et al.
Published: (2025)
ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations
by: Knauer, Ricardo, et al.
Published: (2026)
by: Knauer, Ricardo, et al.
Published: (2026)
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
by: Penaloza, Emiliano, et al.
Published: (2025)
by: Penaloza, Emiliano, et al.
Published: (2025)
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
by: Sverdlov, Yonatan, et al.
Published: (2024)
by: Sverdlov, Yonatan, et al.
Published: (2024)
Similar Items
-
Error-margin Analysis for Hidden Neuron Activation Labels
by: Dalal, Abhilekha, et al.
Published: (2024) -
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
by: Dalal, Abhilekha, et al.
Published: (2024) -
Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
by: Okonoda, Michael, et al.
Published: (2026) -
Concept Induction using LLMs: a user experiment for assessment
by: Barua, Adrita, et al.
Published: (2024) -
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
by: Bortolotti, Samuele, et al.
Published: (2025)