Machine Learning

Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes

Flow Sampling: Learning to Sample from Unnorma...

Machine Learning
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Aaron Havens
3 views
A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification

A Closed-Form Adaptive-Landmark Kernel for Cer...

Machine Learning
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librarian
3 views
Integrating Feature Correlation in Differential Privacy with Applications in DP-ERM

Integrating Feature Correlation in Differentia...

Machine Learning
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Tianyu Wang
4 views
Transformers with Selective Access to Early Representations

Transformers with Selective Access to Early Re...

Machine Learning
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librarian
3 views
Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs

Pretrained Model Representations as Acquisitio...

Machine Learning
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librarian
3 views
A decoupled diffusion planner that adapts to changing cost limits by using cost-conditioned generation for safety and reward gradients for performance

A decoupled diffusion planner that adapts to c...

Machine Learning
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librarian
6 views
Trust, but Verify: Peeling Low-Bit Transformer Networks for Training Monitoring

Trust, but Verify: Peeling Low-Bit Transformer...

Machine Learning
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Arian Eamaz
5 views
SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection

SpecKV: Adaptive Speculative Decoding with Com...

Machine Learning
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librarian
9 views
Beyond ECE: Calibrated Size Ratio, Risk Assessment, and Confidence-Weighted Metrics

Beyond ECE: Calibrated Size Ratio, Risk Assess...

Machine Learning
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librarian
6 views
Stable GFlowNets with Probabilistic Guarantees

Stable GFlowNets with Probabilistic Guarantees

Machine Learning
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librarian
7 views
Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time

Mitigating Multimodal LLMs Hallucinations via ...

Machine Learning
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Itai Allouche
6 views
Strait: Perceiving Priority and Interference in ML Inference Serving

Strait: Perceiving Priority and Interference i...

Machine Learning
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librarian
21 views
Global Optimality for Constrained Exploration via Penalty Regularization

Global Optimality for Constrained Exploration ...

Machine Learning
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librarian
22 views
Do Sparse Autoencoders Capture Concept Manifolds?

Do Sparse Autoencoders Capture Concept Manifolds?

Machine Learning
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librarian
51 views
Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning

Latent-GRPO: Group Relative Policy Optimizatio...

Machine Learning
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librarian
19 views
An adaptive wavelet-based PINN for problems with localized high-magnitude source

An adaptive wavelet-based PINN for problems wi...

Machine Learning
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librarian
20 views
Exploration Hacking: Can LLMs Learn to Resist RL Training?

Exploration Hacking: Can LLMs Learn to Resist ...

Machine Learning
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librarian
19 views
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction

Linear-Core Surrogates: Smooth Loss Functions ...

Machine Learning
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librarian
19 views
Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

Kernelized Advantage Estimation: From Nonparam...

Machine Learning
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librarian
20 views
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning

FedHarmony: Harmonizing Heterogeneous Label Co...

Machine Learning
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Yuheng Jia
21 views
Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework

Exploring the Potential of Probabilistic Trans...

Machine Learning
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librarian
29 views
Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding

Accelerating RL Post-Training Rollouts via Sys...

Machine Learning
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librarian
27 views
Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data

Language Diffusion Models are Associative Memo...

Machine Learning
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librarian
26 views
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics

Uncertainty-Aware Predictive Safety Filters fo...

Machine Learning
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librarian
28 views
Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving

Unifying Sparse Attention with Hierarchical Me...

Machine Learning
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Zihan Zhao
30 views
Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport

Hyper Input Convex Neural Networks for Shape C...

Machine Learning
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librarian
27 views
Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics

Teacher Forcing as Generalized Bayes: Optimiza...

Machine Learning
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librarian
26 views
TSN-Affinity: Similarity-Driven Parameter Reuse for Continual Offline Reinforcement Learning

TSN-Affinity: Similarity-Driven Parameter Reus...

Machine Learning
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librarian
28 views
Investigation into In-Context Learning Capabilities of Transformers

Investigation into In-Context Learning Capabil...

Machine Learning
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librarian
25 views
Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers

Conditional misalignment: common interventions...

Machine Learning
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librarian
25 views
How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum

How Fast Should a Model Commit to Supervision?...

Machine Learning
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librarian
24 views
VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification

VAE-Inf: A statistically interpretable generat...

Machine Learning
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Hongfei Wu
26 views
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