Saved in:
| Main Authors: | Shukla, Megh, Shameem, Aziz, Salzmann, Mathieu, Alahi, Alexandre |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.10587 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
by: Shukla, Megh, et al.
Published: (2023)
by: Shukla, Megh, et al.
Published: (2023)
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
by: Liu, Yuejiang, et al.
Published: (2024)
by: Liu, Yuejiang, et al.
Published: (2024)
Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)
by: Shukla, Satya Narayan, et al.
Published: (2021)
Weight Space Representation Learning via Neural Field Adaptation
by: Yang, Zhuoqian, et al.
Published: (2025)
by: Yang, Zhuoqian, et al.
Published: (2025)
MotionMap: Representing Multimodality in Human Pose Forecasting
by: Hosseininejad, Reyhaneh, et al.
Published: (2024)
by: Hosseininejad, Reyhaneh, et al.
Published: (2024)
Strada-LLM: Graph LLM for traffic prediction
by: Moghadas, Seyed Mohamad, et al.
Published: (2024)
by: Moghadas, Seyed Mohamad, et al.
Published: (2024)
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency Losses
by: Rahimi, Ahmad, et al.
Published: (2024)
by: Rahimi, Ahmad, et al.
Published: (2024)
Heteroscedastic Double Bayesian Elastic Net
by: Kimura, Masanari
Published: (2025)
by: Kimura, Masanari
Published: (2025)
QT-DoG: Quantization-aware Training for Domain Generalization
by: Javed, Saqib, et al.
Published: (2024)
by: Javed, Saqib, et al.
Published: (2024)
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
by: Yin, Naiyu, et al.
Published: (2023)
by: Yin, Naiyu, et al.
Published: (2023)
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
by: Gieruc, Théo, et al.
Published: (2024)
by: Gieruc, Théo, et al.
Published: (2024)
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)
by: Tejeda, Yansel Gonzalez, et al.
Published: (2024)
by: Tejeda, Yansel Gonzalez, et al.
Published: (2024)
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
by: Rahmani, Abdellah, et al.
Published: (2025)
by: Rahmani, Abdellah, et al.
Published: (2025)
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
by: Vinhas, Adriano, et al.
Published: (2024)
by: Vinhas, Adriano, et al.
Published: (2024)
Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories
by: Tassopoulou, Vasiliki, et al.
Published: (2025)
by: Tassopoulou, Vasiliki, et al.
Published: (2025)
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
by: Sun, Xueqing, et al.
Published: (2025)
by: Sun, Xueqing, et al.
Published: (2025)
DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning
by: Shi, Zhengyuan, et al.
Published: (2025)
by: Shi, Zhengyuan, et al.
Published: (2025)
Towards Self-Supervised Foundation Models for Critical Care Time Series
by: Jagd, Katja Naasunnguaq, et al.
Published: (2025)
by: Jagd, Katja Naasunnguaq, et al.
Published: (2025)
Overcoming "Physics Shock" in Earth Observation A Heteroscedastic Uncertainty Framework for PINN-based Flood Inference
by: Gebre, Tewodros Syum, et al.
Published: (2026)
by: Gebre, Tewodros Syum, et al.
Published: (2026)
Causal Discovery from Heteroscedastic Stochastic Dynamical Systems under Imperfect Physical Models
by: Chen, Jianhong, et al.
Published: (2026)
by: Chen, Jianhong, et al.
Published: (2026)
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
by: Li, Zhong, et al.
Published: (2025)
by: Li, Zhong, et al.
Published: (2025)
Towards Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects
by: Zólyomi, Levente, et al.
Published: (2025)
by: Zólyomi, Levente, et al.
Published: (2025)
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
by: Drouin, Alexandre, et al.
Published: (2024)
by: Drouin, Alexandre, et al.
Published: (2024)
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
by: Parambath, Shameem A. Puthiya, et al.
Published: (2021)
by: Parambath, Shameem A. Puthiya, et al.
Published: (2021)
On the Universality of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)
by: Qiang, Wenwen, et al.
Published: (2024)
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
by: Cibula, Miroslav, et al.
Published: (2025)
by: Cibula, Miroslav, et al.
Published: (2025)
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)
by: Yu, Tianrun, et al.
Published: (2025)
Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
by: Jia, Lin-Han, et al.
Published: (2025)
by: Jia, Lin-Han, et al.
Published: (2025)
Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning
by: Levada, Alexandre L. M.
Published: (2026)
by: Levada, Alexandre L. M.
Published: (2026)
Shortcut to Nowhere: Demystifying Deep Spurious Regression
by: Xu, Guanrong, et al.
Published: (2026)
by: Xu, Guanrong, et al.
Published: (2026)
Clustering Properties of Self-Supervised Learning
by: Weng, Xi, et al.
Published: (2025)
by: Weng, Xi, et al.
Published: (2025)
Self-Supervised Inductive Logic Programming
by: Patsantzis, Stassa
Published: (2025)
by: Patsantzis, Stassa
Published: (2025)
Martingale-Consistent Self-Supervised Learning
by: Gögl, Moritz, et al.
Published: (2026)
by: Gögl, Moritz, et al.
Published: (2026)
Scalable Graph Self-Supervised Learning
by: Pasand, Ali Saheb, et al.
Published: (2024)
by: Pasand, Ali Saheb, et al.
Published: (2024)
Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
by: Chen, Fan, et al.
Published: (2025)
by: Chen, Fan, et al.
Published: (2025)
On the Rate of Convergence of Kolmogorov-Arnold Network Regression Estimators
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning
by: LaHaye, Nicholas, et al.
Published: (2025)
by: LaHaye, Nicholas, et al.
Published: (2025)
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
by: Marchetti, Giovanni Luca, et al.
Published: (2023)
by: Marchetti, Giovanni Luca, et al.
Published: (2023)
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
by: Zhao, Botao, et al.
Published: (2025)
by: Zhao, Botao, et al.
Published: (2025)
Vertical Symbolic Regression via Deep Policy Gradient
by: Jiang, Nan, et al.
Published: (2024)
by: Jiang, Nan, et al.
Published: (2024)
Similar Items
-
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
by: Shukla, Megh, et al.
Published: (2023) -
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
by: Liu, Yuejiang, et al.
Published: (2024) -
Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021) -
Weight Space Representation Learning via Neural Field Adaptation
by: Yang, Zhuoqian, et al.
Published: (2025) -
MotionMap: Representing Multimodality in Human Pose Forecasting
by: Hosseininejad, Reyhaneh, et al.
Published: (2024)