neural network analysis

Statistical guarantees for denoising reflected diffusion models JMLR 2026 Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models COLING 2025 A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models EMNLP 2025 Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models ACL 2025 How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis EMNLP 2025 Inferring Functionality of Attention Heads from their Parameters ACL 2025 Inner Information Analysis Algorithm for Deep Neural Network based on Community ICLR 2025 On Relation-Specific Neurons in Large Language Models EMNLP 2025 Does Large Language Model Contain Task-Specific Neurons? EMNLP 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Hypothesis Testing the Circuit Hypothesis in LLMs NeurIPS 2024 Transformer-specific Interpretability EACL 2024 An Operator Theoretic Approach for Analyzing Sequence Neural Networks AAAI 2023 Evaluating Neuron Interpretation Methods of NLP Models NeurIPS 2023 Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision ICML 2023 Towards Automated Circuit Discovery for Mechanistic Interpretability NeurIPS 2023 Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars NeurIPS 2023 Analyzing Neural Discourse Coherence Models EMNLP 2020 An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020 How Important is a Neuron ICLR 2019 Invariance of Weight Distributions in Rectified MLPs ICML 2018 Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity CoNLL 2018 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NeurIPS 2016