Saved in:
| Main Authors: | Zou, Bob Junyi, Tian, Lu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.18996 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GRIP2: A Robust and Powerful Deep Knockoff Method for Feature Selection
by: Zou, Bob Junyi, et al.
Published: (2026)
by: Zou, Bob Junyi, et al.
Published: (2026)
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
by: Zou, Bob Junyi, et al.
Published: (2024)
by: Zou, Bob Junyi, et al.
Published: (2024)
Spectral Neural Graph Sparsification
by: Liguori, Angelica, et al.
Published: (2025)
by: Liguori, Angelica, et al.
Published: (2025)
Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness
by: Luo, Chaoyang, et al.
Published: (2025)
by: Luo, Chaoyang, et al.
Published: (2025)
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
by: He, Kaiwen, et al.
Published: (2025)
by: He, Kaiwen, et al.
Published: (2025)
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction
by: Bazgir, Omid, et al.
Published: (2023)
by: Bazgir, Omid, et al.
Published: (2023)
Multimodal Diffeomorphic Registration with Neural ODEs and Structural Descriptors
by: Rodriguez-Sanz, Salvador, et al.
Published: (2025)
by: Rodriguez-Sanz, Salvador, et al.
Published: (2025)
Improving Neural ODEs via Knowledge Distillation
by: Chu, Haoyu, et al.
Published: (2022)
by: Chu, Haoyu, et al.
Published: (2022)
FxTS-Net: Fixed-Time Stable Learning Framework for Neural ODEs
by: Luo, Chaoyang, et al.
Published: (2024)
by: Luo, Chaoyang, et al.
Published: (2024)
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification
by: Yan, Jintao, et al.
Published: (2025)
by: Yan, Jintao, et al.
Published: (2025)
Neural Jump ODEs as Generative Models
by: Crowell, Robert A., et al.
Published: (2025)
by: Crowell, Robert A., et al.
Published: (2025)
Sumudu Neural Operator for ODEs and PDEs
by: Zelenskiy, Ben, et al.
Published: (2025)
by: Zelenskiy, Ben, et al.
Published: (2025)
Uncertainty-Calibrated Recommendations for Low-Active Users
by: Zou, Bob Junyi, et al.
Published: (2026)
by: Zou, Bob Junyi, et al.
Published: (2026)
Efficient, Accurate and Stable Gradients for Neural ODEs
by: McCallum, Sam, et al.
Published: (2024)
by: McCallum, Sam, et al.
Published: (2024)
Adaptive Feedforward Gradient Estimation in Neural ODEs
by: Dabounou, Jaouad
Published: (2024)
by: Dabounou, Jaouad
Published: (2024)
Latent Space Energy-based Neural ODEs
by: Cheng, Sheng, et al.
Published: (2024)
by: Cheng, Sheng, et al.
Published: (2024)
Expressivity of Quadratic Neural ODEs
by: Hanson, Joshua, et al.
Published: (2025)
by: Hanson, Joshua, et al.
Published: (2025)
Control Disturbance Rejection in Neural ODEs
by: Bayram, Erkan, et al.
Published: (2025)
by: Bayram, Erkan, et al.
Published: (2025)
Steerable Neural ODEs on Homogeneous Spaces
by: Andersdotter, Emma, et al.
Published: (2026)
by: Andersdotter, Emma, et al.
Published: (2026)
SAL: Selective Adaptive Learning for Backpropagation-Free Training with Sparsification
by: Liu, Fanping, et al.
Published: (2026)
by: Liu, Fanping, et al.
Published: (2026)
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)
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
by: He, Yuntian, et al.
Published: (2024)
by: He, Yuntian, et al.
Published: (2024)
MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
by: Zanardi, Ivan, et al.
Published: (2025)
by: Zanardi, Ivan, et al.
Published: (2025)
Simulation-Free Training of Neural ODEs on Paired Data
by: Kim, Semin, et al.
Published: (2024)
by: Kim, Semin, et al.
Published: (2024)
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
by: Yang, Zongzhen, et al.
Published: (2025)
by: Yang, Zongzhen, et al.
Published: (2025)
Equivariant Manifold Neural ODEs and Differential Invariants
by: Andersdotter, Emma, et al.
Published: (2024)
by: Andersdotter, Emma, et al.
Published: (2024)
Beyond Predictions in Neural ODEs: Identification and Interventions
by: Aliee, Hananeh, et al.
Published: (2021)
by: Aliee, Hananeh, et al.
Published: (2021)
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
by: Liang, Langzhang, et al.
Published: (2025)
by: Liang, Langzhang, et al.
Published: (2025)
Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
by: Zou, Junyi
Published: (2026)
by: Zou, Junyi
Published: (2026)
An Invariant Compiler for Neural ODEs in AI-Accelerated Scientific Simulation
by: Yu, Fangzhou, et al.
Published: (2026)
by: Yu, Fangzhou, et al.
Published: (2026)
Designing Stable Neural Networks using Convex Analysis and ODEs
by: Sherry, Ferdia, et al.
Published: (2023)
by: Sherry, Ferdia, et al.
Published: (2023)
Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification
by: Alsmeier, Hendrik, et al.
Published: (2025)
by: Alsmeier, Hendrik, et al.
Published: (2025)
Feedback Favors the Generalization of Neural ODEs
by: Jia, Jindou, et al.
Published: (2024)
by: Jia, Jindou, et al.
Published: (2024)
Mask in the Mirror: Implicit Sparsification
by: Jacobs, Tom, et al.
Published: (2024)
by: Jacobs, Tom, et al.
Published: (2024)
SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2025)
by: Das, Siddhartha Shankar, et al.
Published: (2025)
Fundamental Limits of Neural Network Sparsification: Evidence from Catastrophic Interpretability Collapse
by: Roy, Dip, et al.
Published: (2026)
by: Roy, Dip, et al.
Published: (2026)
Geometric Foundations of Tuning without Forgetting in Neural ODEs
by: Bayram, Erkan, et al.
Published: (2025)
by: Bayram, Erkan, et al.
Published: (2025)
Global Convergence in Neural ODEs: Impact of Activation Functions
by: Gao, Tianxiang, et al.
Published: (2025)
by: Gao, Tianxiang, et al.
Published: (2025)
Learning Physics Informed Neural ODEs With Partial Measurements
by: Ghanem, Paul, et al.
Published: (2024)
by: Ghanem, Paul, et al.
Published: (2024)
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
by: Ryum, Keumseo, et al.
Published: (2025)
by: Ryum, Keumseo, et al.
Published: (2025)
Similar Items
-
GRIP2: A Robust and Powerful Deep Knockoff Method for Feature Selection
by: Zou, Bob Junyi, et al.
Published: (2026) -
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
by: Zou, Bob Junyi, et al.
Published: (2024) -
Spectral Neural Graph Sparsification
by: Liguori, Angelica, et al.
Published: (2025) -
Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness
by: Luo, Chaoyang, et al.
Published: (2025) -
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
by: He, Kaiwen, et al.
Published: (2025)