:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Rajput, Vishal
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence 68T07, 62H10 I.2.6; I.2.0
Online Access:	https://arxiv.org/abs/2605.22800
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Agentic AI Match the Performance of Human Data Scientists?
by: Luo, An, et al.
Published: (2025)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
by: Luo, An, et al.
Published: (2026)

Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
by: Lafrance, Julien, et al.
Published: (2026)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
by: Sarkar, Nilesh, et al.
Published: (2026)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
by: Luo, An, et al.
Published: (2025)

Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection
by: Chhetri, Rajeeb Thapa, et al.
Published: (2025)

Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
by: Ged, François, et al.
Published: (2023)

Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
by: Guettala, Walid, et al.
Published: (2025)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
by: Shafieinejad, Masoumeh, et al.
Published: (2026)

Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
by: Zeng, Zhijun, et al.
Published: (2026)

Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection
by: Guo, Dongxin, et al.
Published: (2026)

Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)

Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair
by: Rajput, Vishal
Published: (2026)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Can Large Language Models Revolutionize Survey Research? Experiments with Disaster Preparedness Responses
by: Wang, Yan, et al.
Published: (2026)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)

Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
by: Mysore, Naveen
Published: (2026)

Multiple data-driven missing imputation
by: Kavun, Sergii
Published: (2025)

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
by: Liu, Jun, et al.
Published: (2026)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
by: Du, Jin, et al.
Published: (2025)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

Unified Interaction Foundational Model (UIFM) for Predicting Complex User and System Behavior
by: Ethiraj, Vignesh, et al.
Published: (2025)

Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims
by: Lin, Zezheng, et al.
Published: (2026)

Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
by: Wang, Binxu, et al.
Published: (2024)

Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
by: Saqur, Raeid, et al.
Published: (2026)

JacNet: Learning Functions with Structured Jacobians
by: Lorraine, Jonathan, et al.
Published: (2024)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation
by: Zhang, Haichao, et al.
Published: (2025)

Safe Continual Reinforcement Learning Methods for Nonstationary Environments. Towards a Survey of the State of the Art
by: Tomashevskiy, Timofey
Published: (2026)

GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
by: Fanale, Raimondo
Published: (2026)

Laws of Learning Dynamics and the Core of Learners
by: Jung, Inkee, et al.
Published: (2026)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

Self-Attention And Beyond the Infinite: Towards Linear Transformers with Infinite Self-Attention
by: Roffo, Giorgio, et al.
Published: (2026)

Causal Direction from Convergence Time: Faster Training in the True Causal Direction
by: Tamim, Abdulrahman
Published: (2026)

Causal Deep Learning
by: Vasilescu, M. Alex O.
Published: (2023)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

SCOPE: Selective Conformal Optimized Pairwise LLM Judging
by: Badshah, Sher, et al.
Published: (2026)

Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)

Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
by: Maiden, Angus, et al.
Published: (2023)

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
by: Wan, Shu, et al.
Published: (2026)