Comgra: A Tool for Analyzing and Debugging Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Dietz, Florian, Fellenz, Sophie, Klakow, Dietrich, Kloft, Marius |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025)
by: Ostheimer, Phil, et al.
Published: (2025)
Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025)
by: James, Charu Karakkaparambil, et al.
Published: (2025)
Block-Operations: Using Modular Routing to Improve Compositional Generalization
by: Dietz, Florian, et al.
Published: (2024)
by: Dietz, Florian, et al.
Published: (2024)
IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently
by: Dietz, Florian, et al.
Published: (2025)
by: Dietz, Florian, et al.
Published: (2025)
PIANO: Physics Informed Autoregressive Network
by: Nagda, Mayank, et al.
Published: (2025)
by: Nagda, Mayank, et al.
Published: (2025)
SetPINNs: Set-based Physics-informed Neural Networks
by: Nagda, Mayank, et al.
Published: (2024)
by: Nagda, Mayank, et al.
Published: (2024)
Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise
by: Wang, Puyu, et al.
Published: (2026)
by: Wang, Puyu, et al.
Published: (2026)
Multi-level Supervised Contrastive Learning
by: Ghanooni, Naghmeh, et al.
Published: (2025)
by: Ghanooni, Naghmeh, et al.
Published: (2025)
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
by: Franks, Billy Joe, et al.
Published: (2024)
by: Franks, Billy Joe, et al.
Published: (2024)
Sparse Data Diffusion for Scientific Simulations in Biology and Physics
by: Ostheimer, Phil, et al.
Published: (2025)
by: Ostheimer, Phil, et al.
Published: (2025)
Reimagining Anomalies: What If Anomalies Were Normal?
by: Liznerski, Philipp, et al.
Published: (2024)
by: Liznerski, Philipp, et al.
Published: (2024)
Skipping the Zeros in Diffusion Models for Sparse Data Generation
by: Ostheimer, Phil Sidney, et al.
Published: (2026)
by: Ostheimer, Phil Sidney, et al.
Published: (2026)
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
by: Nagda, Mayank, et al.
Published: (2024)
by: Nagda, Mayank, et al.
Published: (2024)
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
by: Specht, Thomas, et al.
Published: (2024)
by: Specht, Thomas, et al.
Published: (2024)
Optimization, Generalization and Differential Privacy Bounds for Gradient Descent on Kolmogorov-Arnold Networks
by: Wang, Puyu, et al.
Published: (2026)
by: Wang, Puyu, et al.
Published: (2026)
On Optimizing Multimodal Jailbreaks for Spoken Language Models
by: Krishnan, Aravind, et al.
Published: (2026)
by: Krishnan, Aravind, et al.
Published: (2026)
Labeling Neural Representations with Inverse Recognition
by: Bykov, Kirill, et al.
Published: (2023)
by: Bykov, Kirill, et al.
Published: (2023)
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
by: Moakhar, Arshia Soltani, et al.
Published: (2023)
by: Moakhar, Arshia Soltani, et al.
Published: (2023)
Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)
by: Mukherjee, Tanmoy, et al.
Published: (2026)
Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities
by: Dietz, Florian, et al.
Published: (2026)
by: Dietz, Florian, et al.
Published: (2026)
Explaining Bayesian Neural Networks
by: Bykov, Kirill, et al.
Published: (2021)
by: Bykov, Kirill, et al.
Published: (2021)
Chemical Language Models for Natural Products: A State-Space Model Approach
by: Wang, Ho-Hsuan, et al.
Published: (2026)
by: Wang, Ho-Hsuan, et al.
Published: (2026)
DiffStyleTS: Diffusion Model for Style Transfer in Time Series
by: Nagda, Mayank, et al.
Published: (2025)
by: Nagda, Mayank, et al.
Published: (2025)
Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks
by: Eilers, Florian, et al.
Published: (2026)
by: Eilers, Florian, et al.
Published: (2026)
What explains the success of cross-modal fine-tuning with ORCA?
by: García-de-Herreros, Paloma, et al.
Published: (2024)
by: García-de-Herreros, Paloma, et al.
Published: (2024)
Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
by: Hu, Boyue Caroline, et al.
Published: (2025)
by: Hu, Boyue Caroline, et al.
Published: (2025)
Decoding Partial Differential Equations: Cross-Modal Adaptation of Decoder-only Models to PDEs
by: García-de-Herreros, Paloma, et al.
Published: (2025)
by: García-de-Herreros, Paloma, et al.
Published: (2025)
Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
by: Tauberschmidt, Jan, et al.
Published: (2025)
by: Tauberschmidt, Jan, et al.
Published: (2025)
Interpretable Tensor Fusion
by: Varshneya, Saurabh, et al.
Published: (2024)
by: Varshneya, Saurabh, et al.
Published: (2024)
Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagery
by: Li, Panfeng, et al.
Published: (2018)
by: Li, Panfeng, et al.
Published: (2018)
Analyzing Neural Network Robustness Using Graph Curvature
by: Tan, Shuhang, et al.
Published: (2024)
by: Tan, Shuhang, et al.
Published: (2024)
Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning
by: Fehring, Lukas, et al.
Published: (2025)
by: Fehring, Lukas, et al.
Published: (2025)
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks
by: Saratchandran, Hemanth, et al.
Published: (2024)
by: Saratchandran, Hemanth, et al.
Published: (2024)
Rule Based Learning with Dynamic (Graph) Neural Networks
by: Seiffarth, Florian
Published: (2024)
by: Seiffarth, Florian
Published: (2024)
Efficient Training of Probabilistic Neural Networks for Survival Analysis
by: Lillelund, Christian Marius, et al.
Published: (2024)
by: Lillelund, Christian Marius, et al.
Published: (2024)
Analyzing Fairness of Neural Network Prediction via Counterfactual Dataset Generation
by: Kim, Brian Hyeongseok, et al.
Published: (2026)
by: Kim, Brian Hyeongseok, et al.
Published: (2026)
Anomaly Detection of Tabular Data Using LLMs
by: Li, Aodong, et al.
Published: (2024)
by: Li, Aodong, et al.
Published: (2024)
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks
by: Kurz, Marius, et al.
Published: (2025)
by: Kurz, Marius, et al.
Published: (2025)
Transformers for molecular property prediction: Domain adaptation efficiently improves performance
by: Sultan, Afnan, et al.
Published: (2025)
by: Sultan, Afnan, et al.
Published: (2025)
Analyzing the Effect of Embedding Norms and Singular Values to Oversmoothing in Graph Neural Networks
by: Kelesis, Dimitrios, et al.
Published: (2025)
by: Kelesis, Dimitrios, et al.
Published: (2025)
Similar Items
-
Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025) -
Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025) -
Block-Operations: Using Modular Routing to Improve Compositional Generalization
by: Dietz, Florian, et al.
Published: (2024) -
IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently
by: Dietz, Florian, et al.
Published: (2025) -
PIANO: Physics Informed Autoregressive Network
by: Nagda, Mayank, et al.
Published: (2025)