Saved in:
| Main Authors: | Freguglia, Victor, Garcia, Nancy Lopes |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2204.05933 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decentralized Learning via Random Walk with Jumps
by: Liu, Zonghong, et al.
Published: (2026)
by: Liu, Zonghong, et al.
Published: (2026)
Reversible Jump Attack to Textual Classifiers with Modification Reduction
by: Ni, Mingze, et al.
Published: (2024)
by: Ni, Mingze, et al.
Published: (2024)
Foundation Inference Models for Markov Jump Processes
by: Berghaus, David, et al.
Published: (2024)
by: Berghaus, David, et al.
Published: (2024)
JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
by: Dragomir, Alexandra, et al.
Published: (2026)
by: Dragomir, Alexandra, et al.
Published: (2026)
Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection
by: Liu, Junhao, et al.
Published: (2026)
by: Liu, Junhao, et al.
Published: (2026)
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
by: Rajamanoharan, Senthooran, et al.
Published: (2024)
Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light
by: Hassani, Ali, et al.
Published: (2025)
by: Hassani, Ali, et al.
Published: (2025)
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
by: Zhong, Zhengyi, et al.
Published: (2025)
by: Zhong, Zhengyi, et al.
Published: (2025)
Multi-Component VAE with Gaussian Markov Random Field
by: Oubari, Fouad, et al.
Published: (2025)
by: Oubari, Fouad, et al.
Published: (2025)
Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions
by: Schmidt, Tobias, et al.
Published: (2026)
by: Schmidt, Tobias, et al.
Published: (2026)
GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping
by: Dahal, Chahana, et al.
Published: (2026)
by: Dahal, Chahana, et al.
Published: (2026)
Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
by: Paulichen, Thiago, et al.
Published: (2026)
by: Paulichen, Thiago, et al.
Published: (2026)
PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding
by: Koromilas, Panagiotis, et al.
Published: (2026)
by: Koromilas, Panagiotis, et al.
Published: (2026)
Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations
by: Wieciech, Bartosz, et al.
Published: (2026)
by: Wieciech, Bartosz, et al.
Published: (2026)
Learning Juntas under Markov Random Fields
by: Chandrasekaran, Gautam, et al.
Published: (2025)
by: Chandrasekaran, Gautam, et al.
Published: (2025)
Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction
by: Li, Jingyuan, et al.
Published: (2026)
by: Li, Jingyuan, et al.
Published: (2026)
Random Initialization of Gated Sparse Adapters
by: Retault, Vi, et al.
Published: (2025)
by: Retault, Vi, et al.
Published: (2025)
Quantum Neural Network Restatement of Markov Jump Process
by: Zarezadeh, Z., et al.
Published: (2025)
by: Zarezadeh, Z., et al.
Published: (2025)
Entropic Matching for Expectation Propagation of Markov Jump Processes
by: Eich, Yannick, et al.
Published: (2023)
by: Eich, Yannick, et al.
Published: (2023)
Synthetic American Option Pricing via Jump-HMM-Driven Heston Implied Volatility
by: Sun, Julia, et al.
Published: (2026)
by: Sun, Julia, et al.
Published: (2026)
Sparse Graphical Linear Dynamical Systems
by: Chouzenoux, Emilie, et al.
Published: (2023)
by: Chouzenoux, Emilie, et al.
Published: (2023)
Transparent Neighborhood Approximation for Text Classifier Explanation
by: Cai, Yi, et al.
Published: (2024)
by: Cai, Yi, et al.
Published: (2024)
A Markov Random Field Multi-Modal Variational AutoEncoder
by: Oubari, Fouad, et al.
Published: (2024)
by: Oubari, Fouad, et al.
Published: (2024)
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
by: Lippert, Fiona, et al.
Published: (2023)
by: Lippert, Fiona, et al.
Published: (2023)
Colored Markov Random Fields for Probabilistic Topological Modeling
by: Marinucci, Lorenzo, et al.
Published: (2025)
by: Marinucci, Lorenzo, et al.
Published: (2025)
Routing Absorption in Sparse Attention: Why Random Gates Are Hard to Beat
by: Aquino-Michaels, Keston
Published: (2026)
by: Aquino-Michaels, Keston
Published: (2026)
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
by: Kim, Taehyo, et al.
Published: (2025)
by: Kim, Taehyo, et al.
Published: (2025)
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
by: Butler, Landon, et al.
Published: (2025)
by: Butler, Landon, et al.
Published: (2025)
Reducing Deep Network Complexity via Sparse Hierarchical Fourier Interaction Networks
by: Kiruluta, Andrew, et al.
Published: (2017)
by: Kiruluta, Andrew, et al.
Published: (2017)
Sparse components distinguish visual pathways & their alignment to neural networks
by: Marvi, Ammar I, et al.
Published: (2025)
by: Marvi, Ammar I, et al.
Published: (2025)
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
by: Xu, Haoming, et al.
Published: (2026)
by: Xu, Haoming, et al.
Published: (2026)
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)
by: Makkuva, Ashok Vardhan, et al.
Published: (2024)
High-dimensional Inference and FDR Control for Simulated Markov Random Fields
by: Wei, Haoyu, et al.
Published: (2022)
by: Wei, Haoyu, et al.
Published: (2022)
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
by: Yang, Yuanhang, et al.
Published: (2024)
by: Yang, Yuanhang, et al.
Published: (2024)
PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention
by: Chen, Lida, et al.
Published: (2025)
by: Chen, Lida, et al.
Published: (2025)
Communication-Efficient Federated Learning via Regularized Sparse Random Networks
by: Mestoukirdi, Mohamad, et al.
Published: (2023)
by: Mestoukirdi, Mohamad, et al.
Published: (2023)
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
by: Kleyko, Denis, et al.
Published: (2024)
by: Kleyko, Denis, et al.
Published: (2024)
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
by: Park, Chanwoo, et al.
Published: (2023)
by: Park, Chanwoo, et al.
Published: (2023)
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
by: Jiang, Yuxuan, et al.
Published: (2024)
by: Jiang, Yuxuan, et al.
Published: (2024)
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
by: Zhao, Boxin, et al.
Published: (2021)
by: Zhao, Boxin, et al.
Published: (2021)
Similar Items
-
Decentralized Learning via Random Walk with Jumps
by: Liu, Zonghong, et al.
Published: (2026) -
Reversible Jump Attack to Textual Classifiers with Modification Reduction
by: Ni, Mingze, et al.
Published: (2024) -
Foundation Inference Models for Markov Jump Processes
by: Berghaus, David, et al.
Published: (2024) -
JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
by: Dragomir, Alexandra, et al.
Published: (2026) -
Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection
by: Liu, Junhao, et al.
Published: (2026)