RESEARCH PAPERS
Academic papers, algorithm breakdowns, and advanced research.
research-mlMar 9, 2026
Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
By arXiv
0research-mlMar 9, 2026
Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
By arXiv
0research-mlMar 9, 2026
Structural Causal Bottleneck Models
By arXiv
0research-mlMar 9, 2026
A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search
By arXiv
0research-mlMar 9, 2026
Momentum SVGD-EM for Accelerated Maximum Marginal Likelihood Estimation
By arXiv
0research-mlMar 9, 2026
Characterization and upgrade of a quantum graph neural network for charged particle tracking
By arXiv
0research-mlMar 9, 2026
How Far Can Unsupervised RLVR Scale LLM Training?
By arXiv
0research-mlMar 9, 2026
Context-free Self-Conditioned GAN for Trajectory Forecasting
By arXiv
0research-mlMar 9, 2026
Group Entropies and Mirror Duality: A Class of Flexible Mirror Descent Updates for Machine Learning
By arXiv
0research-mlMar 9, 2026
Divide and Predict: An Architecture for Input Space Partitioning and Enhanced Accuracy
By arXiv
0research-mlMar 9, 2026
Grow, Don't Overwrite: Fine-tuning Without Forgetting
By arXiv
0research-mlMar 9, 2026
Integral Formulas for Vector Spherical Tensor Products
By arXiv
0research-mlMar 9, 2026
TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction
By arXiv
0research-mlMar 6, 2026
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
By arXiv
0research-mlMar 6, 2026
Causal Interpretation of Neural Network Computations with Contribution Decomposition
By arXiv
0research-mlMar 6, 2026
Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
By arXiv
0research-mlMar 6, 2026
When One Modality Rules Them All: Backdoor Modality Collapse in Multimodal Diffusion Models
By arXiv
0research-mlMar 6, 2026
Semantics-Aware Caching for Concept Learning
By arXiv
0research-mlMar 6, 2026
COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics
By arXiv
0research-mlMar 6, 2026
NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches
By arXiv
0research-mlMar 6, 2026
Quantum Diffusion Models: Score Reversal Is Not Free in Gaussian Dynamics
By arXiv
0research-mlMar 6, 2026
Tiny, Hardware-Independent, Compression-based Classification
By arXiv
0research-mlMar 6, 2026
Agnostic learning in (almost) optimal time via Gaussian surface area
By arXiv
0research-mlMar 6, 2026
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints
By arXiv
0research-mlMar 5, 2026
POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
By arXiv
0research-mlMar 5, 2026
Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
By arXiv
0research-mlMar 5, 2026
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
By arXiv
0research-mlMar 5, 2026
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
By arXiv
0research-mlMar 5, 2026
Thermodynamic Response Functions in Singular Bayesian Models
By arXiv
0research-mlMar 5, 2026
Kraus Constrained Sequence Learning For Quantum Trajectories from Continuous Measurement
By arXiv
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