Saved in:
| Main Authors: | Bernier, Fabien, Cordy, Maxime, Traon, Yves Le |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.14472 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis
by: Akli, Amal, et al.
Published: (2026)
by: Akli, Amal, et al.
Published: (2026)
Can Large Language Models Reason and Optimize Under Constraints?
by: Bernier, Fabien, et al.
Published: (2026)
by: Bernier, Fabien, et al.
Published: (2026)
Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories
by: Dogoulis, Pantelis, et al.
Published: (2025)
by: Dogoulis, Pantelis, et al.
Published: (2025)
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
by: Dong, Zeming, et al.
Published: (2022)
by: Dong, Zeming, et al.
Published: (2022)
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
by: Gubri, Martin, et al.
Published: (2023)
by: Gubri, Martin, et al.
Published: (2023)
Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis
by: Akli, Amal, et al.
Published: (2026)
by: Akli, Amal, et al.
Published: (2026)
Leveraging Graph Neural Networks to Forecast Electricity Consumption
by: Campagne, Eloi, et al.
Published: (2024)
by: Campagne, Eloi, et al.
Published: (2024)
PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
by: Bernier, Fabien, et al.
Published: (2025)
by: Bernier, Fabien, et al.
Published: (2025)
Robustness Analysis of AI Models in Critical Energy Systems
by: Dogoulis, Pantelis, et al.
Published: (2024)
by: Dogoulis, Pantelis, et al.
Published: (2024)
Centralized vs Decentralized Federated Learning: A trade-off performance analysis
by: Medjadji, Chaimaa, et al.
Published: (2026)
by: Medjadji, Chaimaa, et al.
Published: (2026)
Electrical Behavior Association Mining for Household ShortTerm Energy Consumption Forecasting
by: Yu, Heyang, et al.
Published: (2024)
by: Yu, Heyang, et al.
Published: (2024)
Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability
by: Ky, Joël Roman, et al.
Published: (2026)
by: Ky, Joël Roman, et al.
Published: (2026)
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
by: Danish, Muhammad Umair, et al.
Published: (2025)
by: Danish, Muhammad Umair, et al.
Published: (2025)
Federated Imputation under Heterogeneous Feature Spaces
by: Hocine, Imane, et al.
Published: (2026)
by: Hocine, Imane, et al.
Published: (2026)
Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)
by: Dyrmishi, Salijona, et al.
Published: (2024)
ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search
by: Collura, Vincenzo, et al.
Published: (2025)
by: Collura, Vincenzo, et al.
Published: (2025)
Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
by: Dogoulis, Panteleimon, et al.
Published: (2025)
by: Dogoulis, Panteleimon, et al.
Published: (2025)
When Prompts Go Wrong: Evaluating Code Model Robustness to Ambiguous, Contradictory, and Incomplete Task Descriptions
by: Larbi, Maya, et al.
Published: (2025)
by: Larbi, Maya, et al.
Published: (2025)
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
by: Dong, Zeming, et al.
Published: (2024)
by: Dong, Zeming, et al.
Published: (2024)
Learning to Forget using Hypernetworks
by: Rangel, Jose Miguel Lara, et al.
Published: (2024)
by: Rangel, Jose Miguel Lara, et al.
Published: (2024)
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
by: Dong, Zeming, et al.
Published: (2023)
by: Dong, Zeming, et al.
Published: (2023)
Universal Hypernetworks for Arbitrary Models
by: Zhou, Xuanfeng
Published: (2026)
by: Zhou, Xuanfeng
Published: (2026)
Prototype Augmented Hypernetworks for Continual Learning
by: De La Fuente, Neil, et al.
Published: (2025)
by: De La Fuente, Neil, et al.
Published: (2025)
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
by: Ding, Xueying, et al.
Published: (2023)
by: Ding, Xueying, et al.
Published: (2023)
Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
by: Ding, Yue, et al.
Published: (2024)
by: Ding, Yue, et al.
Published: (2024)
Forecasting Energy Consumption using Recurrent Neural Networks: A Comparative Analysis
by: Maity, Abhishek, et al.
Published: (2026)
by: Maity, Abhishek, et al.
Published: (2026)
Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)
by: Huang, Yizhou, et al.
Published: (2020)
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
by: Jin, Yonggang, et al.
Published: (2023)
by: Jin, Yonggang, et al.
Published: (2023)
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
by: Przewięźlikowski, M., et al.
Published: (2022)
by: Przewięźlikowski, M., et al.
Published: (2022)
HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork
by: Lv, Jindi, et al.
Published: (2025)
by: Lv, Jindi, et al.
Published: (2025)
HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
by: Marszałek, Patryk, et al.
Published: (2025)
by: Marszałek, Patryk, et al.
Published: (2025)
HINT: Hypernetwork Approach to Training Weight Interval Regions in Continual Learning
by: Krukowski, Patryk, et al.
Published: (2024)
by: Krukowski, Patryk, et al.
Published: (2024)
Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts
by: Benad, Jan, et al.
Published: (2026)
by: Benad, Jan, et al.
Published: (2026)
Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin
by: Fortuna, Carolina, et al.
Published: (2024)
by: Fortuna, Carolina, et al.
Published: (2024)
HyperSteer: Activation Steering at Scale with Hypernetworks
by: Sun, Jiuding, et al.
Published: (2025)
by: Sun, Jiuding, et al.
Published: (2025)
PropMEND: Hypernetworks for Knowledge Propagation in LLMs
by: Liu, Zeyu Leo, et al.
Published: (2025)
by: Liu, Zeyu Leo, et al.
Published: (2025)
A Transformer approach for Electricity Price Forecasting
by: Llorente, Oscar, et al.
Published: (2024)
by: Llorente, Oscar, et al.
Published: (2024)
Time Series Forecasting Through the Lens of Dynamics
by: Brachet, Alexis-Raja, et al.
Published: (2025)
by: Brachet, Alexis-Raja, et al.
Published: (2025)
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
by: Sun, Jiuding, et al.
Published: (2025)
by: Sun, Jiuding, et al.
Published: (2025)
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense
by: Krukowski, Patryk, et al.
Published: (2025)
by: Krukowski, Patryk, et al.
Published: (2025)
Similar Items
-
One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis
by: Akli, Amal, et al.
Published: (2026) -
Can Large Language Models Reason and Optimize Under Constraints?
by: Bernier, Fabien, et al.
Published: (2026) -
Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories
by: Dogoulis, Pantelis, et al.
Published: (2025) -
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
by: Dong, Zeming, et al.
Published: (2022) -
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
by: Gubri, Martin, et al.
Published: (2023)