Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Acharjee, Jashaswimalya, Ravindran, Balaraman |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache Compression
by: S, Santhosh G, et al.
Published: (2025)
by: S, Santhosh G, et al.
Published: (2025)
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025)
by: Verma, Abhishek, et al.
Published: (2025)
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025)
by: Verma, Abhishek, et al.
Published: (2025)
AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs
by: S, Santhosh G, et al.
Published: (2025)
by: S, Santhosh G, et al.
Published: (2025)
PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
by: Verma, Richa, et al.
Published: (2026)
by: Verma, Richa, et al.
Published: (2026)
OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2026)
by: Burnwal, Returaj, et al.
Published: (2026)
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2025)
by: Burnwal, Returaj, et al.
Published: (2025)
Learning from Observation: A Survey of Recent Advances
by: Burnwal, Returaj, et al.
Published: (2025)
by: Burnwal, Returaj, et al.
Published: (2025)
Learning Latent Dynamic Robust Representations for World Models
by: Sun, Ruixiang, et al.
Published: (2024)
by: Sun, Ruixiang, et al.
Published: (2024)
Learning Interpretable Models Using Uncertainty Oracles
by: Ghose, Abhishek, et al.
Published: (2019)
by: Ghose, Abhishek, et al.
Published: (2019)
Efficiency for Free: Ideal Data Are Transportable Representations
by: Sun, Peng, et al.
Published: (2024)
by: Sun, Peng, et al.
Published: (2024)
Latent Structure of Affective Representations in Large Language Models
by: Choi, Benjamin J., et al.
Published: (2026)
by: Choi, Benjamin J., et al.
Published: (2026)
Asymmetrical Latent Representation for Individual Treatment Effect Modeling
by: Lacombe, Armand, et al.
Published: (2025)
by: Lacombe, Armand, et al.
Published: (2025)
EEGDM: Learning EEG Representation with Latent Diffusion Model
by: Wang, Shaocong, et al.
Published: (2025)
by: Wang, Shaocong, et al.
Published: (2025)
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
by: Liu, Guangyi, et al.
Published: (2024)
by: Liu, Guangyi, et al.
Published: (2024)
TFG: Unified Training-Free Guidance for Diffusion Models
by: Ye, Haotian, et al.
Published: (2024)
by: Ye, Haotian, et al.
Published: (2024)
MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification
by: Dip, Sajib Acharjee, et al.
Published: (2025)
by: Dip, Sajib Acharjee, et al.
Published: (2025)
Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling
by: Lin, Zhilin, et al.
Published: (2025)
by: Lin, Zhilin, et al.
Published: (2025)
Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
by: Li, Xiaodan, et al.
Published: (2025)
by: Li, Xiaodan, et al.
Published: (2025)
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
by: Lin, Zinan, et al.
Published: (2025)
by: Lin, Zinan, et al.
Published: (2025)
Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers
by: Ravindran, Santhosh Kumar
Published: (2025)
by: Ravindran, Santhosh Kumar
Published: (2025)
Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
by: Yin, Xuwang, et al.
Published: (2025)
by: Yin, Xuwang, et al.
Published: (2025)
From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective
by: Chen, Tianhua
Published: (2025)
by: Chen, Tianhua
Published: (2025)
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
by: Sestak, Florian, et al.
Published: (2025)
by: Sestak, Florian, et al.
Published: (2025)
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2023)
by: Venugopal, Aravind, et al.
Published: (2023)
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
by: Feng, Yushi, et al.
Published: (2025)
by: Feng, Yushi, et al.
Published: (2025)
TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)
by: Roy, Arjun, et al.
Published: (2026)
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)
by: Qu, Xingwei, et al.
Published: (2025)
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness
by: Parthasarathy, Ambreesh, et al.
Published: (2025)
by: Parthasarathy, Ambreesh, et al.
Published: (2025)
Adapting World Models with Latent-State Dynamics Residuals
by: Lanier, JB, et al.
Published: (2025)
by: Lanier, JB, et al.
Published: (2025)
Context-Former: Stitching via Latent Conditioned Sequence Modeling
by: Zhang, Ziqi, et al.
Published: (2024)
by: Zhang, Ziqi, et al.
Published: (2024)
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
by: Röder, Frank, et al.
Published: (2025)
by: Röder, Frank, et al.
Published: (2025)
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
by: Balcerak, Michal, et al.
Published: (2025)
by: Balcerak, Michal, et al.
Published: (2025)
PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models
by: Chen, Zhisheng, et al.
Published: (2026)
by: Chen, Zhisheng, et al.
Published: (2026)
Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection
by: Taghavi, Mazyar, et al.
Published: (2025)
by: Taghavi, Mazyar, et al.
Published: (2025)
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2024)
by: Alles, Marvin, et al.
Published: (2024)
JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation
by: Shi, Ji, et al.
Published: (2025)
by: Shi, Ji, et al.
Published: (2025)
Generalizing Dynamics Modeling More Easily from Representation Perspective
by: Wang, Yiming, et al.
Published: (2026)
by: Wang, Yiming, et al.
Published: (2026)
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
by: Guo, Yuhan, et al.
Published: (2025)
by: Guo, Yuhan, et al.
Published: (2025)
Similar Items
-
SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache Compression
by: S, Santhosh G, et al.
Published: (2025) -
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025) -
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025) -
AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs
by: S, Santhosh G, et al.
Published: (2025) -
PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
by: Verma, Richa, et al.
Published: (2026)