Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics
Fuente:
arXiv
Guardado en:
| Autores principales: | Koubbi, Hugo, Hernandez, Louis, Boussard, Matthieu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Dynamic metastability in the self-attention model
por: Geshkovski, Borjan, et al.
Publicado: (2024)
por: Geshkovski, Borjan, et al.
Publicado: (2024)
The Mean-Field Dynamics of Transformers
por: Rigollet, Philippe
Publicado: (2025)
por: Rigollet, Philippe
Publicado: (2025)
Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics
por: Smart, Matthew, et al.
Publicado: (2026)
por: Smart, Matthew, et al.
Publicado: (2026)
Multistability of Self-Attention Dynamics in Transformers
por: Altafini, Claudio
Publicado: (2025)
por: Altafini, Claudio
Publicado: (2025)
Quantitative Clustering in Mean-Field Transformer Models
por: Chen, Shi, et al.
Publicado: (2025)
por: Chen, Shi, et al.
Publicado: (2025)
LoRA Learns Less and Forgets Less
por: Biderman, Dan, et al.
Publicado: (2024)
por: Biderman, Dan, et al.
Publicado: (2024)
Convergent Stochastic Training of Attention and Understanding LoRA
por: Sun, Zhengkai, et al.
Publicado: (2026)
por: Sun, Zhengkai, et al.
Publicado: (2026)
Signature Maximum Mean Discrepancy Two-Sample Statistical Tests
por: Alden, Andrew, et al.
Publicado: (2025)
por: Alden, Andrew, et al.
Publicado: (2025)
Enhancing Neural Training via a Correlated Dynamics Model
por: Brokman, Jonathan, et al.
Publicado: (2023)
por: Brokman, Jonathan, et al.
Publicado: (2023)
Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction
por: Wilson, Dan, et al.
Publicado: (2026)
por: Wilson, Dan, et al.
Publicado: (2026)
From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy
por: Neto, Matías, et al.
Publicado: (2026)
por: Neto, Matías, et al.
Publicado: (2026)
Backpropagation on Dynamical Networks
por: Tan, Eugene, et al.
Publicado: (2022)
por: Tan, Eugene, et al.
Publicado: (2022)
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
por: Li, Wenbing, et al.
Publicado: (2025)
por: Li, Wenbing, et al.
Publicado: (2025)
From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction
por: Tong, Yanjie, et al.
Publicado: (2026)
por: Tong, Yanjie, et al.
Publicado: (2026)
Dynamics-Informed Deep Learning for Predicting Extreme Events
por: Katsidoniotaki, Eirini, et al.
Publicado: (2026)
por: Katsidoniotaki, Eirini, et al.
Publicado: (2026)
Multitask Learning with Stochastic Interpolants
por: Negrel, Hugo, et al.
Publicado: (2025)
por: Negrel, Hugo, et al.
Publicado: (2025)
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
por: Brenner, Manuel, et al.
Publicado: (2022)
por: Brenner, Manuel, et al.
Publicado: (2022)
Run LoRA Run: Faster and Lighter LoRA Implementations
por: Cherniuk, Daria, et al.
Publicado: (2023)
por: Cherniuk, Daria, et al.
Publicado: (2023)
Merge before Forget: A Single LoRA Continual Learning via Continual Merging
por: Qiao, Fuli, et al.
Publicado: (2025)
por: Qiao, Fuli, et al.
Publicado: (2025)
Analysis of tidal flows through the Strait of Gibraltar using Dynamic Mode Decomposition
por: Dias, Sathsara, et al.
Publicado: (2023)
por: Dias, Sathsara, et al.
Publicado: (2023)
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
por: Lee, Seungeon, et al.
Publicado: (2025)
por: Lee, Seungeon, et al.
Publicado: (2025)
Latent Diffeomorphic Dynamic Mode Decomposition
por: Diepeveen, Willem, et al.
Publicado: (2025)
por: Diepeveen, Willem, et al.
Publicado: (2025)
Autoencoding Dynamics: Topological Limitations and Capabilities
por: Kvalheim, Matthew D., et al.
Publicado: (2025)
por: Kvalheim, Matthew D., et al.
Publicado: (2025)
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems
por: Shokar, Ira J. S., et al.
Publicado: (2025)
por: Shokar, Ira J. S., et al.
Publicado: (2025)
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
por: Farkane, Ayoub, et al.
Publicado: (2025)
por: Farkane, Ayoub, et al.
Publicado: (2025)
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
por: Chen, Chuanqi, et al.
Publicado: (2023)
por: Chen, Chuanqi, et al.
Publicado: (2023)
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage
por: Teng, Wenchao, et al.
Publicado: (2024)
por: Teng, Wenchao, et al.
Publicado: (2024)
Learning Deep Dissipative Dynamics
por: Okamoto, Yuji, et al.
Publicado: (2024)
por: Okamoto, Yuji, et al.
Publicado: (2024)
Neural Context Flows for Meta-Learning of Dynamical Systems
por: Nzoyem, Roussel Desmond, et al.
Publicado: (2024)
por: Nzoyem, Roussel Desmond, et al.
Publicado: (2024)
Continuous-Time Homeostatic Dynamics for Reentrant Inference Models
por: Chae, Byung Gyu
Publicado: (2025)
por: Chae, Byung Gyu
Publicado: (2025)
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
por: Seifner, Patrick, et al.
Publicado: (2024)
por: Seifner, Patrick, et al.
Publicado: (2024)
Dynamical systems and complex networks: A Koopman operator perspective
por: Klus, Stefan, et al.
Publicado: (2024)
por: Klus, Stefan, et al.
Publicado: (2024)
Neural Ordinary Differential Equations for Modeling Socio-Economic Dynamics
por: Samota, Sandeep Kumar, et al.
Publicado: (2026)
por: Samota, Sandeep Kumar, et al.
Publicado: (2026)
Generalized Quadratic Embeddings for Nonlinear Dynamics using Deep Learning
por: Goyal, Pawan, et al.
Publicado: (2022)
por: Goyal, Pawan, et al.
Publicado: (2022)
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
por: Liu-Schiaffini, Miguel, et al.
Publicado: (2023)
por: Liu-Schiaffini, Miguel, et al.
Publicado: (2023)
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems
por: Dang, Gang, et al.
Publicado: (2024)
por: Dang, Gang, et al.
Publicado: (2024)
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
por: Schiff, Yair, et al.
Publicado: (2024)
por: Schiff, Yair, et al.
Publicado: (2024)
Embedded Variational Neural Stochastic Differential Equations for Learning Heterogeneous Dynamics
por: Samota, Sandeep Kumar, et al.
Publicado: (2026)
por: Samota, Sandeep Kumar, et al.
Publicado: (2026)
Flowing Through Layers: A Continuous Dynamical Systems Perspective on Transformers
por: Fein-Ashley, Jacob
Publicado: (2025)
por: Fein-Ashley, Jacob
Publicado: (2025)
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
por: Turri, Giacomo, et al.
Publicado: (2025)
por: Turri, Giacomo, et al.
Publicado: (2025)
Ejemplares similares
-
Dynamic metastability in the self-attention model
por: Geshkovski, Borjan, et al.
Publicado: (2024) -
The Mean-Field Dynamics of Transformers
por: Rigollet, Philippe
Publicado: (2025) -
Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics
por: Smart, Matthew, et al.
Publicado: (2026) -
Multistability of Self-Attention Dynamics in Transformers
por: Altafini, Claudio
Publicado: (2025) -
Quantitative Clustering in Mean-Field Transformer Models
por: Chen, Shi, et al.
Publicado: (2025)