:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Banus, Jaume, Sermesant, Maxime, Camara, Oscar, Lorenzi, Marco
Format:	Preprint
Published:	2020
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2010.01052
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models
by: Gordaliza, Pedro M., et al.
Published: (2026)

mDAE : modified Denoising AutoEncoder for missing data imputation
by: Dupuy, Mariette, et al.
Published: (2024)

On Safer Reinforcement Learning for Sedation and Analgesia in Intensive Care
by: Romero-Hernandez, Joel, et al.
Published: (2026)

Iterative missing value imputation based on feature importance
by: Guo, Cong, et al.
Published: (2023)

Missing value imputation with adversarial random forests -- MissARF
by: Golchian, Pegah, et al.
Published: (2025)

Well log data generation and imputation using sequence-based generative adversarial networks
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)

An introduction to graphical tensor notation for mechanistic interpretability
by: Taylor, Jordan K.
Published: (2024)

A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data
by: Andrys-Olek, Justyna, et al.
Published: (2026)

Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
by: Kulkarni, Omkar, et al.
Published: (2024)

Feature selection strategies for optimized heart disease diagnosis using ML and DL models
by: Ahmad, Bilal, et al.
Published: (2025)

Discriminative protein sequence modelling with Latent Space Diffusion
by: Quinn, Eoin, et al.
Published: (2025)

High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates
by: Weberpals, Janick, et al.
Published: (2024)

Predicting one-year clinical instability and mortality in heart failure patients using sequence modeling
by: Dippel, Falk, et al.
Published: (2025)

SecureBreak -- A dataset towards safe and secure models
by: Arazzi, Marco, et al.
Published: (2026)

A data-driven approach to modeling brain activity using differential equations
by: Andrey, Kuratov
Published: (2024)

Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)

Synthetic data in cryptocurrencies using generative models
by: Sousa, André Saimon S., et al.
Published: (2026)

On conditional diffusion models for PDE simulations
by: Shysheya, Aliaksandra, et al.
Published: (2024)

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)

RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
by: Manderlier, Maxime, et al.
Published: (2024)

Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
by: Bachmann, Fynn, et al.
Published: (2025)

Meta-Statistical Learning: Supervised Learning of Statistical Estimators
by: Peyrard, Maxime, et al.
Published: (2025)

Hierarchically branched diffusion models leverage dataset structure for class-conditional generation
by: Tseng, Alex M., et al.
Published: (2022)

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
by: Méloux, Maxime, et al.
Published: (2025)

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation
by: Qi, Jun, et al.
Published: (2025)

How to set AdamW's weight decay as you scale model and dataset size
by: Wang, Xi, et al.
Published: (2024)

ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
by: Xu, Xueyuan, et al.
Published: (2025)

Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction
by: Yang, Guofeng, et al.
Published: (2025)

Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
by: Ahmadi, Sana, et al.
Published: (2024)

Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents
by: Leong, Jun Wen
Published: (2026)

Distilling Genomic Models for Efficient mRNA Representation Learning via Embedding Matching
by: Haidari, Rasched, et al.
Published: (2026)

Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
by: Méloux, Maxime, et al.
Published: (2025)

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models
by: Siegel, Sebastian, et al.
Published: (2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
by: Oota, Subba Reddy, et al.
Published: (2025)

Visual-information-driven model for crowd simulation using temporal convolutional network
by: Liang, Xuanwen, et al.
Published: (2023)

Measuring Cross-Modal Synergy: A Benchmark for VLM Explainability
by: Ky, Joël Roman, et al.
Published: (2026)

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks
by: Bernier, Fabien, et al.
Published: (2025)

Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems
by: Vitale, Francesco, et al.
Published: (2025)

DEQuify your force field: More efficient simulations using deep equilibrium models
by: Burger, Andreas, et al.
Published: (2025)

Joint Embeddings Go Temporal
by: Ennadir, Sofiane, et al.
Published: (2025)