Saved in:
| Main Authors: | Estienne, Lautaro, Ernst, Erik, Vera, Matías, Piantanida, Pablo, Ferrer, Luciana |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.20490 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
by: Hansen, Roberta, et al.
Published: (2024)
by: Hansen, Roberta, et al.
Published: (2024)
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
by: Aubinais, Eric, et al.
Published: (2023)
by: Aubinais, Eric, et al.
Published: (2023)
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
by: Dadalto, Eduardo, et al.
Published: (2024)
by: Dadalto, Eduardo, et al.
Published: (2024)
Optimal Zero-Shot Detector for Multi-Armed Attacks
by: Granese, Federica, et al.
Published: (2024)
by: Granese, Federica, et al.
Published: (2024)
A Strong Baseline for Molecular Few-Shot Learning
by: Formont, Philippe, et al.
Published: (2024)
by: Formont, Philippe, et al.
Published: (2024)
MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models
by: Formont, Philippe, et al.
Published: (2026)
by: Formont, Philippe, et al.
Published: (2026)
Beyond the Norms: Detecting Prediction Errors in Regression Models
by: Altieri, Andres, et al.
Published: (2024)
by: Altieri, Andres, et al.
Published: (2024)
When is an Embedding Model More Promising than Another?
by: Darrin, Maxime, et al.
Published: (2024)
by: Darrin, Maxime, et al.
Published: (2024)
A calibration test for evaluating set-based epistemic uncertainty representations
by: Jürgens, Mira, et al.
Published: (2025)
by: Jürgens, Mira, et al.
Published: (2025)
Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
by: Li, Yifei, et al.
Published: (2024)
by: Li, Yifei, et al.
Published: (2024)
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents
by: Arcadinho, Samuel, et al.
Published: (2024)
by: Arcadinho, Samuel, et al.
Published: (2024)
LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation
by: Fons, Elizabeth, et al.
Published: (2025)
by: Fons, Elizabeth, et al.
Published: (2025)
Sparse identification of nonlinear dynamics in the presence of library and system uncertainty
by: O'Brien, Andrew
Published: (2024)
by: O'Brien, Andrew
Published: (2024)
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
by: Song, Jialei, et al.
Published: (2025)
by: Song, Jialei, et al.
Published: (2025)
The Unreliability of Acoustic Systems in Alzheimer's Speech Datasets with Heterogeneous Recording Conditions
by: Gauder, Lara, et al.
Published: (2024)
by: Gauder, Lara, et al.
Published: (2024)
Graph data augmentation with Gromow-Wasserstein Barycenters
by: Ponti, Andrea
Published: (2024)
by: Ponti, Andrea
Published: (2024)
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
by: Liu, Toni J. B., et al.
Published: (2024)
by: Liu, Toni J. B., et al.
Published: (2024)
Counterfactual experience augmented off-policy reinforcement learning
by: Lee, Sunbowen, et al.
Published: (2025)
by: Lee, Sunbowen, et al.
Published: (2025)
Retrosynthesis prediction enhanced by in-silico reaction data augmentation
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
Distill n' Explain: explaining graph neural networks using simple surrogates
by: Pereira, Tamara, et al.
Published: (2023)
by: Pereira, Tamara, et al.
Published: (2023)
Fairness under uncertainty in sequential decisions
by: Lee, Michelle Seng Ah, et al.
Published: (2026)
by: Lee, Michelle Seng Ah, et al.
Published: (2026)
The geometry of invariant learning: an information-theoretic analysis of data augmentation and generalization
by: Bouyahia, Abdelali, et al.
Published: (2026)
by: Bouyahia, Abdelali, et al.
Published: (2026)
Financial time series augmentation using transformer based GAN architecture
by: Podobiński, Andrzej, et al.
Published: (2026)
by: Podobiński, Andrzej, et al.
Published: (2026)
Good practices for evaluation of machine learning systems
by: Ferrer, Luciana, et al.
Published: (2024)
by: Ferrer, Luciana, et al.
Published: (2024)
RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection
by: Maru, Chihiro, et al.
Published: (2025)
by: Maru, Chihiro, et al.
Published: (2025)
Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
by: Estienne, Lautaro, et al.
Published: (2025)
by: Estienne, Lautaro, et al.
Published: (2025)
Learning-augmented robotic automation for real-world manufacturing
by: Kim, Yunho, et al.
Published: (2026)
by: Kim, Yunho, et al.
Published: (2026)
VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems
by: Liu, Shiyan, et al.
Published: (2025)
by: Liu, Shiyan, et al.
Published: (2025)
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
by: Huang, Xiaoyu, et al.
Published: (2024)
by: Huang, Xiaoyu, et al.
Published: (2024)
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
by: Li, Shuangjie, et al.
Published: (2024)
by: Li, Shuangjie, et al.
Published: (2024)
Extreme value forecasting using relevance-based data augmentation with deep learning models
by: Hua, Junru, et al.
Published: (2025)
by: Hua, Junru, et al.
Published: (2025)
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
by: Seedat, Nabeel, et al.
Published: (2023)
by: Seedat, Nabeel, et al.
Published: (2023)
Latent label distribution grid representation for modeling uncertainty
by: Sun, ShuNing, et al.
Published: (2025)
by: Sun, ShuNing, et al.
Published: (2025)
Retrieval-augmented GUI Agents with Generative Guidelines
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework
by: Zheng, Shuwen, et al.
Published: (2024)
by: Zheng, Shuwen, et al.
Published: (2024)
Continual uncertainty learning
by: Yonezawa, Heisei, et al.
Published: (2026)
by: Yonezawa, Heisei, et al.
Published: (2026)
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
by: Tu, Songjun, et al.
Published: (2024)
by: Tu, Songjun, et al.
Published: (2024)
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning
by: Mosbach, Malte, et al.
Published: (2025)
by: Mosbach, Malte, et al.
Published: (2025)
Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
by: Pavlova, Maya, et al.
Published: (2024)
by: Pavlova, Maya, et al.
Published: (2024)
Conditional computation in neural networks: principles and research trends
by: Scardapane, Simone, et al.
Published: (2024)
by: Scardapane, Simone, et al.
Published: (2024)
Similar Items
-
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
by: Hansen, Roberta, et al.
Published: (2024) -
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
by: Aubinais, Eric, et al.
Published: (2023) -
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
by: Dadalto, Eduardo, et al.
Published: (2024) -
Optimal Zero-Shot Detector for Multi-Armed Attacks
by: Granese, Federica, et al.
Published: (2024) -
A Strong Baseline for Molecular Few-Shot Learning
by: Formont, Philippe, et al.
Published: (2024)