Saved in:
| Main Authors: | Pepe, Inés Gonzalez, Chatelain, Yohan, Kiar, Gregory, Glatard, Tristan |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2212.06361 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Numerical Uncertainty in Linear Registration: An Experimental Study
by: Mirhakimi, Niusha, et al.
Published: (2025)
by: Mirhakimi, Niusha, et al.
Published: (2025)
Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
by: Ahmadi, Sana, et al.
Published: (2024)
by: Ahmadi, Sana, et al.
Published: (2024)
PyTracer: Automatically profiling numerical instabilities in Python
by: Chatelain, Yohan, et al.
Published: (2021)
by: Chatelain, Yohan, et al.
Published: (2021)
Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)
Understanding protein function with a multimodal retrieval-augmented foundation model
by: Truong Jr, Timothy Fei, et al.
Published: (2025)
by: Truong Jr, Timothy Fei, et al.
Published: (2025)
PoET: A generative model of protein families as sequences-of-sequences
by: Truong Jr, Timothy F., et al.
Published: (2023)
by: Truong Jr, Timothy F., et al.
Published: (2023)
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
by: Cui, Tianyu, et al.
Published: (2025)
by: Cui, Tianyu, et al.
Published: (2025)
CompassDock: Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuning
by: Sarigun, Ahmet, et al.
Published: (2024)
by: Sarigun, Ahmet, et al.
Published: (2024)
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability
by: Mudrik, Noga, et al.
Published: (2024)
by: Mudrik, Noga, et al.
Published: (2024)
Simulation-based Inference for Cardiovascular Models
by: Wehenkel, Antoine, et al.
Published: (2023)
by: Wehenkel, Antoine, et al.
Published: (2023)
Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)
by: Zaki, Jihan K., et al.
Published: (2024)
HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference
by: Zang, Zelin, et al.
Published: (2025)
by: Zang, Zelin, et al.
Published: (2025)
BaMANI: Bayesian Multi-Algorithm causal Network Inference
by: Latifizadeh, Habibolla, et al.
Published: (2025)
by: Latifizadeh, Habibolla, et al.
Published: (2025)
Toward Scalable Early Cancer Detection: Evaluating EHR-Based Predictive Models Against Traditional Screening Criteria
by: Park, Jiheum, et al.
Published: (2025)
by: Park, Jiheum, et al.
Published: (2025)
Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models
by: Kaplan, Alan D., et al.
Published: (2024)
by: Kaplan, Alan D., et al.
Published: (2024)
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)
by: Lan, Chaowang, et al.
Published: (2025)
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
by: Piriyakulkij, Wasu Top, et al.
Published: (2024)
by: Piriyakulkij, Wasu Top, et al.
Published: (2024)
Mixing Vector Model for Copolymer Inference via Mixed Integer Linear Programming
by: Zhu, Jianshen, et al.
Published: (2026)
by: Zhu, Jianshen, et al.
Published: (2026)
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)
by: Minartz, Koen, et al.
Published: (2025)
A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference
by: Hoang, Trung-Dung, et al.
Published: (2025)
by: Hoang, Trung-Dung, et al.
Published: (2025)
FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
by: Bohde, Montgomery, et al.
Published: (2026)
by: Bohde, Montgomery, et al.
Published: (2026)
Global Deep Forecasting with Patient-Specific Pharmacokinetics
by: Potosnak, Willa, et al.
Published: (2023)
by: Potosnak, Willa, et al.
Published: (2023)
DeepAtlas: a tool for effective manifold learning
by: Hughes, Serena, et al.
Published: (2025)
by: Hughes, Serena, et al.
Published: (2025)
Deep learning-guided evolutionary optimization for protein design
by: Hartman, Erik, et al.
Published: (2026)
by: Hartman, Erik, et al.
Published: (2026)
Compositional Deep Probabilistic Models of DNA Encoded Libraries
by: Chen, Benson, et al.
Published: (2023)
by: Chen, Benson, et al.
Published: (2023)
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
by: Voina, Doris, et al.
Published: (2024)
by: Voina, Doris, et al.
Published: (2024)
Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages
by: Bo, Gabriel, et al.
Published: (2025)
by: Bo, Gabriel, et al.
Published: (2025)
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)
by: Delzer, Luke, et al.
Published: (2025)
Deep Learning Framework for RNA Inverse Folding with Geometric Structure Potentials
by: Yao, Annabelle
Published: (2025)
by: Yao, Annabelle
Published: (2025)
Robust Multi-view Co-expression Network Inference
by: Pandeva, Teodora, et al.
Published: (2024)
by: Pandeva, Teodora, et al.
Published: (2024)
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)
by: Vefghi, Ali, et al.
Published: (2025)
DeepDR: an integrated deep-learning model web server for drug repositioning
by: Jin, Shuting, et al.
Published: (2025)
by: Jin, Shuting, et al.
Published: (2025)
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
by: Wang, Yueyang, et al.
Published: (2025)
by: Wang, Yueyang, et al.
Published: (2025)
Uncertain but Useful: Leveraging CNN Variability into Data Augmentation
by: Gonzalez-Pepe, Inés, et al.
Published: (2025)
by: Gonzalez-Pepe, Inés, et al.
Published: (2025)
Q-MRS: A Deep Learning Framework for Quantitative Magnetic Resonance Spectra Analysis
by: Wu, Christopher J., et al.
Published: (2024)
by: Wu, Christopher J., et al.
Published: (2024)
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
by: Zuo, Wenxuan, et al.
Published: (2024)
by: Zuo, Wenxuan, et al.
Published: (2024)
A Comprehensive Guide to Simulation-based Inference in Computational Biology
by: Wang, Xiaoyu, et al.
Published: (2024)
by: Wang, Xiaoyu, et al.
Published: (2024)
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
by: Murad, Taslim, et al.
Published: (2024)
by: Murad, Taslim, et al.
Published: (2024)
Similar Items
-
Numerical Uncertainty in Linear Registration: An Experimental Study
by: Mirhakimi, Niusha, et al.
Published: (2025) -
Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
by: Gonzalez-Pepe, Inés, et al.
Published: (2026) -
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
by: Ahmadi, Sana, et al.
Published: (2024) -
PyTracer: Automatically profiling numerical instabilities in Python
by: Chatelain, Yohan, et al.
Published: (2021) -
Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging
by: Gonzalez-Pepe, Inés, et al.
Published: (2026)