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[2603.27955] Symbolic Density Estimation: A Decompositional Approach
Machine Learning

[2603.27955] Symbolic Density Estimation: A Decompositional Approach

Abstract page for arXiv paper 2603.27955: Symbolic Density Estimation: A Decompositional Approach

arXiv - Machine Learning · 3 min ·
[2603.27950] Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Machine Learning

[2603.27950] Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

Abstract page for arXiv paper 2603.27950: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

arXiv - Machine Learning · 4 min ·
[2603.27929] Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs
Machine Learning

[2603.27929] Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs

Abstract page for arXiv paper 2603.27929: Physics-Guided Transformer (PGT): Physics-Aware Attention Mechanism for PINNs

arXiv - Machine Learning · 4 min ·
[2603.27914] ITQ3_S: High-Fidelity 3-bit LLM Inference via Interleaved Ternary Quantization with Rotation-Domain Smoothing
Llms

[2603.27914] ITQ3_S: High-Fidelity 3-bit LLM Inference via Interleaved Ternary Quantization with Rotation-Domain Smoothing

Abstract page for arXiv paper 2603.27914: ITQ3_S: High-Fidelity 3-bit LLM Inference via Interleaved Ternary Quantization with Rotation-Do...

arXiv - AI · 4 min ·
[2603.27905] ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control
Llms

[2603.27905] ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control

Abstract page for arXiv paper 2603.27905: ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control

arXiv - Machine Learning · 3 min ·
[2603.27885] Spectral Signatures of Data Quality: Eigenvalue Tail Index as a Diagnostic for Label Noise in Neural Networks
Machine Learning

[2603.27885] Spectral Signatures of Data Quality: Eigenvalue Tail Index as a Diagnostic for Label Noise in Neural Networks

Abstract page for arXiv paper 2603.27885: Spectral Signatures of Data Quality: Eigenvalue Tail Index as a Diagnostic for Label Noise in N...

arXiv - Machine Learning · 4 min ·
[2603.27884] Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards

[2603.27884] Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards

Abstract page for arXiv paper 2603.27884: Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards

arXiv - Machine Learning · 3 min ·
[2603.27880] Kernel Dynamics under Path Entropy Maximization

[2603.27880] Kernel Dynamics under Path Entropy Maximization

Abstract page for arXiv paper 2603.27880: Kernel Dynamics under Path Entropy Maximization

arXiv - Machine Learning · 4 min ·
[2603.27874] Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version

[2603.27874] Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version

Abstract page for arXiv paper 2603.27874: Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version

arXiv - Machine Learning · 3 min ·
[2603.27819] KVSculpt: KV Cache Compression as Distillation
Llms

[2603.27819] KVSculpt: KV Cache Compression as Distillation

Abstract page for arXiv paper 2603.27819: KVSculpt: KV Cache Compression as Distillation

arXiv - Machine Learning · 4 min ·
[2603.27814] RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
Ai Startups

[2603.27814] RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series

Abstract page for arXiv paper 2603.27814: RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series

arXiv - Machine Learning · 4 min ·
[2603.27803] Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
Ai Agents

[2603.27803] Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach

Abstract page for arXiv paper 2603.27803: Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-...

arXiv - Machine Learning · 4 min ·
[2603.27792] What-If Explanations Over Time: Counterfactuals for Time Series Classification
Machine Learning

[2603.27792] What-If Explanations Over Time: Counterfactuals for Time Series Classification

Abstract page for arXiv paper 2603.27792: What-If Explanations Over Time: Counterfactuals for Time Series Classification

arXiv - Machine Learning · 4 min ·
[2603.27766] AutoStan: Autonomous Bayesian Model Improvement via Predictive Feedback
Machine Learning

[2603.27766] AutoStan: Autonomous Bayesian Model Improvement via Predictive Feedback

Abstract page for arXiv paper 2603.27766: AutoStan: Autonomous Bayesian Model Improvement via Predictive Feedback

arXiv - Machine Learning · 3 min ·
[2603.27734] Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
Machine Learning

[2603.27734] Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training

Abstract page for arXiv paper 2603.27734: Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball T...

arXiv - Machine Learning · 4 min ·
[2603.27723] TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution

[2603.27723] TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution

Abstract page for arXiv paper 2603.27723: TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution

arXiv - Machine Learning · 4 min ·
[2603.27707] Low-Rank Adaptation Reduces Catastrophic Forgetting in Sequential Transformer Encoder Fine-Tuning: Controlled Empirical Evidence and Frozen-Backbone Representation Probes
Machine Learning

[2603.27707] Low-Rank Adaptation Reduces Catastrophic Forgetting in Sequential Transformer Encoder Fine-Tuning: Controlled Empirical Evidence and Frozen-Backbone Representation Probes

Abstract page for arXiv paper 2603.27707: Low-Rank Adaptation Reduces Catastrophic Forgetting in Sequential Transformer Encoder Fine-Tuni...

arXiv - Machine Learning · 4 min ·
[2603.27695] Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz Composition
Machine Learning

[2603.27695] Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz Composition

Abstract page for arXiv paper 2603.27695: Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz Composition

arXiv - Machine Learning · 3 min ·
[2603.27685] CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning
Llms

[2603.27685] CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning

Abstract page for arXiv paper 2603.27685: CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning

arXiv - Machine Learning · 4 min ·
[2603.27678] Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization

[2603.27678] Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization

Abstract page for arXiv paper 2603.27678: Prototype-Aligned Federated Soft-Prompts for Continual Web Personalization

arXiv - Machine Learning · 3 min ·