Discrete Latent Structure in Neural Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Niculae, Vlad, Corro, Caio F., Nangia, Nikita, Mihaylova, Tsvetomila, Martins, André F. T. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
por: Soize, Christian
Publicado: (2025)
por: Soize, Christian
Publicado: (2025)
Self-Expanding Neural Networks
por: Mitchell, Rupert, et al.
Publicado: (2023)
por: Mitchell, Rupert, et al.
Publicado: (2023)
Structured Contrastive Learning for Interpretable Latent Representations
por: Shen, Zhengyang, et al.
Publicado: (2025)
por: Shen, Zhengyang, et al.
Publicado: (2025)
Implicit Regularization and Generalization in Overparameterized Neural Networks
por: Johannsen, Zeran
Publicado: (2026)
por: Johannsen, Zeran
Publicado: (2026)
Fusing Rewards and Preferences in Reinforcement Learning
por: Khorasani, Sadegh, et al.
Publicado: (2025)
por: Khorasani, Sadegh, et al.
Publicado: (2025)
Strengthening the Internal Adversarial Robustness in Lifted Neural Networks
por: Zach, Christopher
Publicado: (2025)
por: Zach, Christopher
Publicado: (2025)
The Bayesian Confidence (BACON) Estimator for Deep Neural Networks
por: Kee, Patrick D., et al.
Publicado: (2024)
por: Kee, Patrick D., et al.
Publicado: (2024)
Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metrics
por: Yu, Zehua, et al.
Publicado: (2024)
por: Yu, Zehua, et al.
Publicado: (2024)
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
por: Campi, Francesco, et al.
Publicado: (2023)
por: Campi, Francesco, et al.
Publicado: (2023)
Learning Useful Representations of Recurrent Neural Network Weight Matrices
por: Herrmann, Vincent, et al.
Publicado: (2024)
por: Herrmann, Vincent, et al.
Publicado: (2024)
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
por: Pirillo, Alberto, et al.
Publicado: (2025)
por: Pirillo, Alberto, et al.
Publicado: (2025)
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
por: Thil, Lucas, et al.
Publicado: (2025)
por: Thil, Lucas, et al.
Publicado: (2025)
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
por: Palma, Guilherme, et al.
Publicado: (2025)
por: Palma, Guilherme, et al.
Publicado: (2025)
Graph Neural Network Based Action Ranking for Planning
por: Mangannavar, Rajesh, et al.
Publicado: (2024)
por: Mangannavar, Rajesh, et al.
Publicado: (2024)
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
por: Ke, Naichang, et al.
Publicado: (2025)
por: Ke, Naichang, et al.
Publicado: (2025)
Rewarded Region Replay (R3) for Policy Learning with Discrete Action Space
por: Li, Bangzheng, et al.
Publicado: (2024)
por: Li, Bangzheng, et al.
Publicado: (2024)
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
por: Alabdallah, Abdallah, et al.
Publicado: (2024)
por: Alabdallah, Abdallah, et al.
Publicado: (2024)
Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
por: Rozonoyer, Benjamin, et al.
Publicado: (2026)
por: Rozonoyer, Benjamin, et al.
Publicado: (2026)
Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
por: Gaonkar, Aradhya, et al.
Publicado: (2026)
por: Gaonkar, Aradhya, et al.
Publicado: (2026)
Learning Can Converge Stably to the Wrong Belief under Latent Reliability
por: Zhang, Zhipeng, et al.
Publicado: (2026)
por: Zhang, Zhipeng, et al.
Publicado: (2026)
It's All Connected: Topology-Aware Structural Graph Encoding Improves Performance on Polymer Prediction
por: Erdogan, H. Ibrahim, et al.
Publicado: (2026)
por: Erdogan, H. Ibrahim, et al.
Publicado: (2026)
Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
por: Easley, Eric, et al.
Publicado: (2026)
por: Easley, Eric, et al.
Publicado: (2026)
Scaling Laws for Neural Material Models
por: Trikha, Akshay, et al.
Publicado: (2025)
por: Trikha, Akshay, et al.
Publicado: (2025)
Entropy Aware Message Passing in Graph Neural Networks
por: Nazari, Philipp, et al.
Publicado: (2024)
por: Nazari, Philipp, et al.
Publicado: (2024)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
por: Nicolau, Marcio, et al.
Publicado: (2020)
por: Nicolau, Marcio, et al.
Publicado: (2020)
LLM-Driven Intrinsic Motivation for Sparse Reward Reinforcement Learning
por: Quadros, André, et al.
Publicado: (2025)
por: Quadros, André, et al.
Publicado: (2025)
Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features
por: McCann, Jordan F.
Publicado: (2026)
por: McCann, Jordan F.
Publicado: (2026)
Sparse Concept Anchoring for Interpretable and Controllable Neural Representations
por: Fraser, Sandy, et al.
Publicado: (2025)
por: Fraser, Sandy, et al.
Publicado: (2025)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
por: Hedar, Abdel-Rahman, et al.
Publicado: (2024)
por: Hedar, Abdel-Rahman, et al.
Publicado: (2024)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
por: Trinh, Minh, et al.
Publicado: (2025)
por: Trinh, Minh, et al.
Publicado: (2025)
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
por: Belucci, Bruno, et al.
Publicado: (2025)
por: Belucci, Bruno, et al.
Publicado: (2025)
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
por: Wang, Yumeng, et al.
Publicado: (2025)
por: Wang, Yumeng, et al.
Publicado: (2025)
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
por: Poonia, Harsh, et al.
Publicado: (2025)
por: Poonia, Harsh, et al.
Publicado: (2025)
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
por: Yao, Tianjun, et al.
Publicado: (2024)
por: Yao, Tianjun, et al.
Publicado: (2024)
Faster Predictive Coding Networks via Better Initialization
por: Pinchetti, Luca, et al.
Publicado: (2026)
por: Pinchetti, Luca, et al.
Publicado: (2026)
Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
por: Riscos, Pablo de los, et al.
Publicado: (2024)
por: Riscos, Pablo de los, et al.
Publicado: (2024)
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
por: Gorrim, Mohamed El
Publicado: (2025)
por: Gorrim, Mohamed El
Publicado: (2025)
MotherNet: Fast Training and Inference via Hyper-Network Transformers
por: Müller, Andreas, et al.
Publicado: (2023)
por: Müller, Andreas, et al.
Publicado: (2023)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
por: Leyli-abadi, Milad, et al.
Publicado: (2025)
por: Leyli-abadi, Milad, et al.
Publicado: (2025)
Generalization Study of Quantum Neural Network
por: Jiang, JinZhe, et al.
Publicado: (2020)
por: Jiang, JinZhe, et al.
Publicado: (2020)
Ejemplares similares
-
Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
por: Soize, Christian
Publicado: (2025) -
Self-Expanding Neural Networks
por: Mitchell, Rupert, et al.
Publicado: (2023) -
Structured Contrastive Learning for Interpretable Latent Representations
por: Shen, Zhengyang, et al.
Publicado: (2025) -
Implicit Regularization and Generalization in Overparameterized Neural Networks
por: Johannsen, Zeran
Publicado: (2026) -
Fusing Rewards and Preferences in Reinforcement Learning
por: Khorasani, Sadegh, et al.
Publicado: (2025)