PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift
Fuente:
arXiv
Saved in:
| Main Authors: | Bae, Sangyoon, Yoo, Shinjae, Cha, Jiook |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications
by: Bae, Sangyoon, et al.
Published: (2025)
by: Bae, Sangyoon, et al.
Published: (2025)
Latent-Space Causal Discovery from Indirect Neuroimaging Observations
by: Bae, Sangyoon, et al.
Published: (2026)
by: Bae, Sangyoon, et al.
Published: (2026)
CausalMamba: Scalable Conditional State Space Models for Neural Causal Inference
by: Bae, Sangyoon, et al.
Published: (2025)
by: Bae, Sangyoon, et al.
Published: (2025)
DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations
by: Han, Danny Dongyeop, et al.
Published: (2025)
by: Han, Danny Dongyeop, et al.
Published: (2025)
Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms
by: Wang, Heehwan, et al.
Published: (2024)
by: Wang, Heehwan, et al.
Published: (2024)
Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining
by: Bae, Sangyoon, et al.
Published: (2025)
by: Bae, Sangyoon, et al.
Published: (2025)
Macro2Micro: A Rapid and Precise Cross-modal Magnetic Resonance Imaging Synthesis using Multi-scale Structural Brain Similarity
by: Kim, Sooyoung, et al.
Published: (2024)
by: Kim, Sooyoung, et al.
Published: (2024)
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
by: Kwon, Joonwoo, et al.
Published: (2023)
by: Kwon, Joonwoo, et al.
Published: (2023)
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
by: Yeom, Taesun, et al.
Published: (2024)
by: Yeom, Taesun, et al.
Published: (2024)
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
by: Watkins, William, et al.
Published: (2024)
by: Watkins, William, et al.
Published: (2024)
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model
by: Han, Danny Dongyeop, et al.
Published: (2025)
by: Han, Danny Dongyeop, et al.
Published: (2025)
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction
by: Xu, Wei, et al.
Published: (2024)
by: Xu, Wei, et al.
Published: (2024)
Transformer-Based Sleep Stage Classification Enhanced by Clinical Information
by: Chung, Woosuk, et al.
Published: (2025)
by: Chung, Woosuk, et al.
Published: (2025)
Resting-state fMRI Analysis using Quantum Time-series Transformer
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
Learning Stable Predictors from Weak Supervision under Distribution Shift
by: Shoeibi, Mehrdad, et al.
Published: (2026)
by: Shoeibi, Mehrdad, et al.
Published: (2026)
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
by: Park, David Keetae, et al.
Published: (2025)
by: Park, David Keetae, et al.
Published: (2025)
Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision
by: Valencia, Kevin, et al.
Published: (2026)
by: Valencia, Kevin, et al.
Published: (2026)
MambaSL: Exploring Single-Layer Mamba for Time Series Classification
by: Jung, Yoo-Min, et al.
Published: (2026)
by: Jung, Yoo-Min, et al.
Published: (2026)
Causal-aware Graph Neural Architecture Search under Distribution Shifts
by: Li, Peiwen, et al.
Published: (2024)
by: Li, Peiwen, et al.
Published: (2024)
Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs
by: Jo, Yujin, et al.
Published: (2026)
by: Jo, Yujin, et al.
Published: (2026)
It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
Adaptive Non-local Observable on Quantum Neural Networks
by: Lin, Hsin-Yi, et al.
Published: (2025)
by: Lin, Hsin-Yi, et al.
Published: (2025)
Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks
by: Jiang, Feilong, et al.
Published: (2025)
by: Jiang, Feilong, et al.
Published: (2025)
Beware of the Batch Size: Hyperparameter Bias in Evaluating LoRA
by: Lee, Sangyoon, et al.
Published: (2026)
by: Lee, Sangyoon, et al.
Published: (2026)
SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
by: Park, Juhyeon, et al.
Published: (2025)
by: Park, Juhyeon, et al.
Published: (2025)
Graphs Generalization under Distribution Shifts
by: Tian, Qin, et al.
Published: (2024)
by: Tian, Qin, et al.
Published: (2024)
Physics-Informed Graph Neural Networks for Water Distribution Systems
by: Ashraf, Inaam, et al.
Published: (2024)
by: Ashraf, Inaam, et al.
Published: (2024)
Weak-to-Strong Generalization under Distribution Shifts
by: Jeon, Myeongho, et al.
Published: (2025)
by: Jeon, Myeongho, et al.
Published: (2025)
Neural Architecture Search for Quantum Autoencoders
by: Agha, Hibah, et al.
Published: (2025)
by: Agha, Hibah, et al.
Published: (2025)
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
by: Kania, Adam, et al.
Published: (2024)
by: Kania, Adam, et al.
Published: (2024)
Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
by: Zhang, Huiwen, et al.
Published: (2026)
by: Zhang, Huiwen, et al.
Published: (2026)
Bias as a Virtue: Rethinking Generalization under Distribution Shifts
by: Chen, Ruixuan, et al.
Published: (2025)
by: Chen, Ruixuan, et al.
Published: (2025)
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
by: Zhang, Zeyang, et al.
Published: (2024)
by: Zhang, Zeyang, et al.
Published: (2024)
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
by: Yoo, Se-Wook, et al.
Published: (2025)
by: Yoo, Se-Wook, et al.
Published: (2025)
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence
by: Kharel, Shubha R., et al.
Published: (2024)
by: Kharel, Shubha R., et al.
Published: (2024)
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
by: Yan, Hanting, et al.
Published: (2025)
by: Yan, Hanting, et al.
Published: (2025)
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024)
by: Xu, Xiongxiao, et al.
Published: (2024)
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning
by: Mustajab, Abdul Hannan, et al.
Published: (2024)
by: Mustajab, Abdul Hannan, et al.
Published: (2024)
Similar Items
-
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications
by: Bae, Sangyoon, et al.
Published: (2025) -
Latent-Space Causal Discovery from Indirect Neuroimaging Observations
by: Bae, Sangyoon, et al.
Published: (2026) -
CausalMamba: Scalable Conditional State Space Models for Neural Causal Inference
by: Bae, Sangyoon, et al.
Published: (2025) -
DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations
by: Han, Danny Dongyeop, et al.
Published: (2025) -
Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms
by: Wang, Heehwan, et al.
Published: (2024)