Sobolev Training for Operator Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Cho, Namkyeong, Ryu, Junseung, Hwang, Hyung Ju |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
by: Shin, Jaesun, et al.
Published: (2024)
by: Shin, Jaesun, et al.
Published: (2024)
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
by: Moon, Hyung-Jun, et al.
Published: (2025)
by: Moon, Hyung-Jun, et al.
Published: (2025)
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
by: Noh, Heewoong, et al.
Published: (2024)
by: Noh, Heewoong, et al.
Published: (2024)
3D Interaction Geometric Pre-training for Molecular Relational Learning
by: Lee, Namkyeong, et al.
Published: (2024)
by: Lee, Namkyeong, et al.
Published: (2024)
MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
by: Kim, Junmo, et al.
Published: (2025)
by: Kim, Junmo, et al.
Published: (2025)
Subgraph Federated Learning for Local Generalization
by: Kim, Sungwon, et al.
Published: (2025)
by: Kim, Sungwon, et al.
Published: (2025)
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions
by: Jayashankar, Tejas, et al.
Published: (2025)
by: Jayashankar, Tejas, et al.
Published: (2025)
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
by: Lee, Namkyeong, et al.
Published: (2025)
by: Lee, Namkyeong, et al.
Published: (2025)
PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
by: Hwang, Junseo, et al.
Published: (2025)
by: Hwang, Junseo, et al.
Published: (2025)
Machine Learning Techniques to Identify Hand Gestures amidst Forearm Muscle Signals
by: Cho, Ryan, et al.
Published: (2024)
by: Cho, Ryan, et al.
Published: (2024)
System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)
by: Choi, Yumin, et al.
Published: (2025)
Set-based Meta-Interpolation for Few-Task Meta-Learning
by: Lee, Seanie, et al.
Published: (2022)
by: Lee, Seanie, et al.
Published: (2022)
Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
by: Trirat, Patara, et al.
Published: (2025)
by: Trirat, Patara, et al.
Published: (2025)
ES-Merging: Biological MLLM Merging via Embedding Space Signals
by: Lee, Wonbin, et al.
Published: (2026)
by: Lee, Wonbin, et al.
Published: (2026)
Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
by: Hwang, Uiwon, et al.
Published: (2026)
by: Hwang, Uiwon, et al.
Published: (2026)
Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning
by: Kim, Shiwon, et al.
Published: (2025)
by: Kim, Shiwon, et al.
Published: (2025)
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization
by: Cho, Dong Kyu, et al.
Published: (2025)
by: Cho, Dong Kyu, et al.
Published: (2025)
Training-Free Exponential Context Extension via Cascading KV Cache
by: Willette, Jeffrey, et al.
Published: (2024)
by: Willette, Jeffrey, et al.
Published: (2024)
Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
by: Kim, Jeehong, et al.
Published: (2025)
by: Kim, Jeehong, et al.
Published: (2025)
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents
by: Kim, Suji, et al.
Published: (2026)
by: Kim, Suji, et al.
Published: (2026)
Unsupervised Physics-Informed Operator Learning through Multi-Stage Curriculum Training
by: Marcandelli, Paolo, et al.
Published: (2026)
by: Marcandelli, Paolo, et al.
Published: (2026)
Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
by: Jang, Sooyoung, et al.
Published: (2021)
by: Jang, Sooyoung, et al.
Published: (2021)
PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models
by: Kang, Seongjae, et al.
Published: (2025)
by: Kang, Seongjae, et al.
Published: (2025)
SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures
by: Park, Keondo, et al.
Published: (2026)
by: Park, Keondo, et al.
Published: (2026)
PIANO: Physics-informed Dual Neural Operator for Precipitation Nowcasting
by: Chin, Seokhyun, et al.
Published: (2025)
by: Chin, Seokhyun, et al.
Published: (2025)
AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
by: Lee, Ju-Hyung, et al.
Published: (2025)
by: Lee, Ju-Hyung, et al.
Published: (2025)
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
by: Cho, Taehyun, et al.
Published: (2025)
by: Cho, Taehyun, et al.
Published: (2025)
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
by: Kim, Seyeon, et al.
Published: (2024)
by: Kim, Seyeon, et al.
Published: (2024)
Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks
by: Cho, Wonyong, et al.
Published: (2026)
by: Cho, Wonyong, et al.
Published: (2026)
Sobolev acceleration for neural networks
by: Oh, Jong Kwon, et al.
Published: (2025)
by: Oh, Jong Kwon, et al.
Published: (2025)
Expressive Power of ReLU and Step Networks under Floating-Point Operations
by: Park, Yeachan, et al.
Published: (2024)
by: Park, Yeachan, et al.
Published: (2024)
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
by: Cho, Taehyun, et al.
Published: (2024)
by: Cho, Taehyun, et al.
Published: (2024)
Robust Molecular Property Prediction via Densifying Scarce Labeled Data
by: Kim, Jina, et al.
Published: (2025)
by: Kim, Jina, et al.
Published: (2025)
Margin Adaptive DPO: Leveraging Reward Model for Granular Control in Preference Optimization
by: Rho, Hyung Gyu
Published: (2025)
by: Rho, Hyung Gyu
Published: (2025)
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
by: Cho, Dongchan, et al.
Published: (2025)
by: Cho, Dongchan, et al.
Published: (2025)
SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decoding
by: Bang, Jehyeon, et al.
Published: (2026)
by: Bang, Jehyeon, et al.
Published: (2026)
Sobolev Space Regularised Pre Density Models
by: Kozdoba, Mark, et al.
Published: (2023)
by: Kozdoba, Mark, et al.
Published: (2023)
Meta-Statistical Learning: Supervised Learning of Statistical Estimators
by: Peyrard, Maxime, et al.
Published: (2025)
by: Peyrard, Maxime, et al.
Published: (2025)
Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching
by: Kong, Kyeongbo, et al.
Published: (2021)
by: Kong, Kyeongbo, et al.
Published: (2021)
Can Neural Networks Learn Small Algebraic Worlds? An Investigation Into the Group-theoretic Structures Learned By Narrow Models Trained To Predict Group Operations
by: Kvinge, Henry, et al.
Published: (2026)
by: Kvinge, Henry, et al.
Published: (2026)
Similar Items
-
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
by: Shin, Jaesun, et al.
Published: (2024) -
Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning
by: Moon, Hyung-Jun, et al.
Published: (2025) -
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
by: Noh, Heewoong, et al.
Published: (2024) -
3D Interaction Geometric Pre-training for Molecular Relational Learning
by: Lee, Namkyeong, et al.
Published: (2024) -
MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
by: Kim, Junmo, et al.
Published: (2025)