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TITLE
DATE
VIEWS
cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context
By Jörg Martin, Stefan Haufe · ArXiv: 2602.20396
2026-03-27
0
Selecting Optimal Variable Order in Autoregressive Ising Models
By Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov · ArXiv: 2602.20394
2026-03-02
0
Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
By Joel Persson, Jurriën Bakker, Dennis Bohle · ArXiv: 2602.20383
2026-02-23
0
Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
By Jiele Wu, Haozhe Ma, Zhihan Guo · ArXiv: 2602.20344
2026-02-23
0
TokEye: Fast Signal Extraction for Fluctuating Time Series via Offline Self-Supervised Learning From Fusion Diagnostics to Bioacoustics
By Nathaniel Chen, Kouroche Bouchiat, Peter Steiner · ArXiv: 2602.20317
2026-02-26
0
Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
By Haochen Zhang, Zhong Zheng, Lingzhou Xue · ArXiv: 2602.20297
2026-02-23
0
Discrete Diffusion with Sample-Efficient Estimators for Conditionals
By Karthik Elamvazhuthi, Abhijith Jayakumar, Andrey Y. Lokhov · ArXiv: 2602.20293
2026-02-27
0
The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
By Zien Ma, S. M. Shermer, Oktay Karakuş · ArXiv: 2602.20289
2026-02-23
0
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
By Stefan Faulkner, Reza Z, ehshahvar · ArXiv: 2602.20271
2026-02-23
0
Coupled Cluster con MōLe: Molecular Orbital Learning for Neural Wavefunctions
By Luca Thiede, Abdulrahman Aldossary, Andreas Burger · ArXiv: 2602.20232
2026-02-23
0
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
By Shaorong Chen, Jingbo Zhou, Jun Xia · ArXiv: 2602.20209
2026-02-23
0
KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
By Soumik Deb Niloy, Md. Fahmid-Ul-Alam Juboraj, Swakkhar Shatabda · ArXiv: 2602.20198
2026-02-22
0
JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
By Jakob Heiss, Sören Lambrecht, Jakob Weissteiner · ArXiv: 2602.20153
2026-02-23
0
Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data
By Zhenyao Ma, Yue Liang, Dongxu Li · ArXiv: 2602.20152
2026-02-23
0
Conformal Risk Control for Non-Monotonic Losses
By Anastasios N. Angelopoulos · ArXiv: 2602.20151
2026-02-23
0
Agentic AI for Scalable and Robust Optical Systems Control
By Zehao Wang, Mingzhe Han, Wei Cheng · ArXiv: 2602.20144
2026-02-23
0
Adaptive Underwater Acoustic Communications with Limited Feedback: An AoI-Aware Hierarchical Bandit Approach
By Fabio Busacca, Andrea Panebianco, Yin Sun · ArXiv: 2602.20105
2026-02-23
0
Transcending the Annotation Bottleneck: AI-Powered Discovery in Biology and Medicine
By Soumick Chatterjee · ArXiv: 2602.20100
2026-02-23
0
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
By Shan Yang, Yang Liu · ArXiv: 2602.20078
2026-03-16
0
Robust Taylor-Lagrange Control for Safety-Critical Systems
By Wei Xiao, Christos Cass, ras · ArXiv: 2602.20076
2026-02-23
0
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
By Nicolas Anguita, Francesco Locatello, Andrew M. Saxe · ArXiv: 2602.20062
2026-02-23
0
AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
By Ge Yuan, Qiyuan Qiao, Jing Zhang · ArXiv: 2602.20057
2026-02-23
0
Dual Security for MIMO-OFDM ISAC Systems: Artificial Ghosts or Artificial Noise
By Yinchao Yang, Prabhat Raj Gautam, Yathreb Bouazizi · ArXiv: 2602.20045
2026-02-23
0
Let There Be Claws: An Early Social Network Analysis of AI Agents on Moltbook
By H. C. W. Price, H. AlMuhanna, P. M. Bassani · ArXiv: 2602.20044
2026-02-23
0
Discernment is all you need
By David Fuenmayor · ArXiv: 2602.20038
2026-02-23
0
Digital Twin--Driven Adaptive Wavelet Strategy for Efficient 6G Backbone Network Telemetry
By Alex, re Barbosa de Lima, Xavier Hesselbach · ArXiv: 2602.20034
2026-02-23
0
Contextual Safety Reasoning and Grounding for Open-World Robots
By Zachary Ravich, ran, David Snyder · ArXiv: 2602.19983
2026-02-24
0
A Computationally Efficient Multidimensional Vision Transformer
By Alaa El Ichi, Khalide Jbilou · ArXiv: 2602.19982
2026-02-23
0
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
By Moritz A. Zanger, Yijun Wu, Pascal R. Van der Vaart · ArXiv: 2602.19964
2026-02-26
0
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
By Krzysztof Adamkiewicz, Brian Moser, Stanislav Frolov · ArXiv: 2602.19946
2026-03-13
0
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