Machine Learning

The WidthWall: A Strict Expressivity Hierarchy for Hypergraph Neural Networks

The WidthWall: A Strict Expressivity Hierarchy...

Machine Learning
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librarian
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Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations

Di-BiLPS: Denoising induced Bidirectional Late...

Machine Learning
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librarian
0 views
QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling

QLAM: A Quantum Long-Attention Memory Approach...

Machine Learning
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Hoang-Quan Nguyen
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Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs

Multi-Stream LLMs: Unblocking Language Models ...

Machine Learning
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librarian
6 views
Solve the Loop: Attractor Models for Language and Reasoning

Solve the Loop: Attractor Models for Language ...

Machine Learning
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librarian
5 views
MEME: Multi-entity & Evolving Memory Evaluation

MEME: Multi-entity & Evolving Memory Evaluation

Machine Learning
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librarian
6 views
Learning, Fast and Slow: Towards LLMs That Adapt Continually

Learning, Fast and Slow: Towards LLMs That Ada...

Machine Learning
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librarian
5 views
Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs

Beyond Parameter Aggregation: Semantic Consens...

Machine Learning
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Amr Abourayya
5 views
STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning

STAGE: Tackling Semantic Drift in Multimodal F...

Machine Learning
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librarian
6 views
QDSB: Quantized Diffusion Schrödinger Bridges

QDSB: Quantized Diffusion Schrödinger Bridges

Machine Learning
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Florian Kalinke
5 views
AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents

AssayBench: An Assay-Level Virtual Cell Benchm...

Machine Learning
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librarian
7 views
Compute Where it Counts: Self Optimizing Language Models

Compute Where it Counts: Self Optimizing Langu...

Machine Learning
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librarian
3 views
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

Dynamic Skill Lifecycle Management for Agentic...

Machine Learning
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librarian
6 views
DataMaster: Towards Autonomous Data Engineering for Machine Learning

DataMaster: Towards Autonomous Data Engineerin...

Machine Learning
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librarian
6 views
DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices

DECO: Sparse Mixture-of-Experts with Dense-Com...

Machine Learning
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librarian
4 views
Variational Inference for Lévy Process-Driven SDEs via Neural Tilting

Variational Inference for Lévy Process-Driven ...

Machine Learning
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librarian
4 views
Recursive Agent Optimization

Recursive Agent Optimization

Machine Learning
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Apurva Gandhi
32 views
Crafting Reversible SFT Behaviors in Large Language Models

Crafting Reversible SFT Behaviors in Large Lan...

Machine Learning
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librarian
31 views
On the Safety of Graph Representation Learning

On the Safety of Graph Representation Learning

Machine Learning
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Xiaoguang, Ziming, Shawn, Soonwoo, Chuxu
25 views
Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML

Why Global LLM Leaderboards Are Misleading: Sm...

Machine Learning
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Jai Moondra
30 views
Verifier-Backed Hard Problem Generation for Mathematical Reasoning

Verifier-Backed Hard Problem Generation for Ma...

Machine Learning
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librarian
25 views
UniPool: A Globally Shared Expert Pool for Mixture-of-Experts

UniPool: A Globally Shared Expert Pool for Mix...

Machine Learning
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librarian
21 views
Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation

Joint Treatment Effect Estimation from Incompl...

Machine Learning
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librarian
26 views
Estimating the expected output of wide random MLPs more efficiently than sampling

Estimating the expected output of wide random ...

Machine Learning
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librarian
26 views
The Predictive-Causal Gap: An Impossibility Theorem and Large-Scale Neural Evidence

The Predictive-Causal Gap: An Impossibility Th...

Machine Learning
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librarian
23 views
Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer

Understanding In-Context Learning for Nonlinea...

Machine Learning
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librarian
24 views
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
28 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
28 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
31 views
Transformers with Selective Access to Early Representations

Transformers with Selective Access to Early Re...

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

Pretrained Model Representations as Acquisitio...

Machine Learning
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librarian
29 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
31 views
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