Machine Learning

Robustness, Cost, and Attack-Surface Concentration in Phishing Detection

Robustness, Cost, and Attack-Surface Concentra...

Machine Learning
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librarian
11 views
Online Learning and Equilibrium Computation with Ranking Feedback

Online Learning and Equilibrium Computation wi...

Machine Learning
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librarian
10 views
Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification

Position: Spectral GNNs Are Neither Spectral N...

Machine Learning
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Wei Pang
10 views
Hierarchical Latent Structure Learning through Online Inference

Hierarchical Latent Structure Learning through...

Machine Learning
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librarian
11 views
DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on Edge

DyMoE: Dynamic Expert Orchestration with Mixed...

Machine Learning
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librarian
8 views
Rigorous Error Certification for Neural PDE Solvers: From Empirical Residuals to Solution Guarantees

Rigorous Error Certification for Neural PDE So...

Machine Learning
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librarian
8 views
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment

Improving RCT-Based Treatment Effect Estimatio...

Machine Learning
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librarian
9 views
SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

SOL-ExecBench: Speed-of-Light Benchmarking for...

Machine Learning
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librarian
10 views
MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data

MIDST Challenge at SaTML 2025: Membership Infe...

Machine Learning
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Masoumeh Shafieinejad
9 views
CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks

CausalRM: Causal-Theoretic Reward Modeling for...

Machine Learning
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librarian
10 views
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning

DriftGuard: Mitigating Asynchronous Data Drift...

Machine Learning
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Yizhou Han
9 views
Only relative ranks matter in weight-clustered large language models

Only relative ranks matter in weight-clustered...

Machine Learning
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librarian
12 views
Beyond Muon: MUD (MomentUm Decorrelation) for Faster Transformer Training

Beyond Muon: MUD (MomentUm Decorrelation) for ...

Machine Learning
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librarian
16 views
Unified Policy Value Decomposition for Rapid Adaptation

Unified Policy Value Decomposition for Rapid A...

Machine Learning
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librarian
8 views
Towards Infinitely Long Neural Simulations: Self-Refining Neural Surrogate Models for Dynamical Systems

Towards Infinitely Long Neural Simulations: Se...

Machine Learning
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librarian
10 views
Procedural Generation of Algorithm Discovery Tasks in Machine Learning

Procedural Generation of Algorithm Discovery T...

Machine Learning
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librarian
9 views
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention

CARE: Covariance-Aware and Rank-Enhanced Decom...

Machine Learning
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librarian
9 views
Cohomological Obstructions to Global Counterfactuals: A Sheaf-Theoretic Foundation for Generative Causal Models

Cohomological Obstructions to Global Counterfa...

Machine Learning
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Rui Wu
9 views
The Causal Uncertainty Principle: Manifold Tearing and the Topological Limits of Counterfactual Interventions

The Causal Uncertainty Principle: Manifold Tea...

Machine Learning
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librarian
8 views
Efficient Exploration at Scale

Efficient Exploration at Scale

Machine Learning
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librarian
8 views
What Trace Powers Reveal About Log-Determinants: Closed-Form Estimators, Certificates, and Failure Modes

What Trace Powers Reveal About Log-Determinant...

Machine Learning
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Piyush Sao
8 views
Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets

Understanding Quantization of Optimizer States...

Machine Learning
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Kristi Topollai
9 views
Efficient Reasoning on the Edge

Efficient Reasoning on the Edge

Machine Learning
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librarian
18 views
Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling

Adaptive Moments are Surprisingly Effective fo...

Machine Learning
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librarian
12 views
pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning

pADAM: A Plug-and-Play All-in-One Diffusion Ar...

Machine Learning
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Guang Lin
8 views
SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit

SOMP: Scalable Gradient Inversion for Large La...

Machine Learning
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Yibo Li
6 views
High-Dimensional Gaussian Mean Estimation under Realizable Contamination

High-Dimensional Gaussian Mean Estimation unde...

Machine Learning
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librarian
8 views
GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators

GIST: Gauge-Invariant Spectral Transformers fo...

Machine Learning
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librarian
7 views
FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios

FederatedFactory: Generative One-Shot Learning...

Machine Learning
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Andrea Moleri
7 views
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data

The Finetuner's Fallacy: When to Pretrain with...

Machine Learning
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DatalogyAI Team
9 views
Decoding the Critique Mechanism in Large Reasoning Models

Decoding the Critique Mechanism in Large Reaso...

Machine Learning
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librarian
9 views
Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models

Capability-Guided Compression: Toward Interpre...

Machine Learning
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librarian
9 views
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