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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
Machine Learning

[D] ICML 2026 Average Score

Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...

Reddit - Machine Learning · 1 min ·
Accelerating science with AI and simulations
Machine Learning

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

AI News - General · 10 min ·

All Content

[2512.21877] CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics
Llms

[2512.21877] CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics

CricBench introduces a multilingual benchmark for evaluating Large Language Models (LLMs) in cricket analytics, highlighting performance ...

arXiv - AI · 4 min ·
[2511.19476] FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
Machine Learning

[2511.19476] FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection

The paper presents FAST, a novel coreset selection framework that utilizes topology-aware frequency-domain distribution matching, signifi...

arXiv - Machine Learning · 4 min ·
[2511.05275] TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
Machine Learning

[2511.05275] TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models

The paper presents TwinVLA, a modular framework for bimanual manipulation using two single-arm Vision-Language-Action models, enhancing d...

arXiv - Machine Learning · 3 min ·
[2510.22221] HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems
Machine Learning

[2510.22221] HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems

This article presents a GPU-based simulation framework for modeling magnon-photon dynamics in hybrid quantum systems, utilizing machine l...

arXiv - Machine Learning · 3 min ·
[2511.02860] AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization
Machine Learning

[2511.02860] AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization

The article presents DeepOrganelle, a deep learning tool that enhances large-scale electron microscopy for mapping organelle distribution...

arXiv - AI · 3 min ·
[2509.12666] PBPK-iPINNs: Inverse Physics-Informed Neural Networks for Physiologically Based Pharmacokinetic Brain Models
Machine Learning

[2509.12666] PBPK-iPINNs: Inverse Physics-Informed Neural Networks for Physiologically Based Pharmacokinetic Brain Models

The paper presents PBPK-iPINNs, a method combining inverse physics-informed neural networks with physiologically based pharmacokinetic mo...

arXiv - Machine Learning · 4 min ·
[2509.11208] Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication
Machine Learning

[2509.11208] Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication

The paper discusses the impact of evidence order on the performance of transformers in binary adjudication tasks, introducing metrics to ...

arXiv - Machine Learning · 4 min ·
[2510.14889] Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media
Machine Learning

[2510.14889] Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media

This article presents a computational framework for detecting early and implicit suicidal ideation on social media by analyzing user inte...

arXiv - AI · 4 min ·
[2509.01924] Non-Linear Model-Based Sequential Decision-Making in Agriculture
Machine Learning

[2509.01924] Non-Linear Model-Based Sequential Decision-Making in Agriculture

This paper presents a novel approach to sequential decision-making in agriculture using nonlinear model-based algorithms, enhancing resou...

arXiv - Machine Learning · 4 min ·
[2508.12674] Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Machine Learning

[2508.12674] Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation

The paper introduces Unfolded Laplacian Spectral Embedding (ULSE), a novel method for dynamic network representation that ensures stabili...

arXiv - Machine Learning · 3 min ·
[2508.05493] Exact and Heuristic Algorithms for Constrained Biclustering
Machine Learning

[2508.05493] Exact and Heuristic Algorithms for Constrained Biclustering

This paper presents exact and heuristic algorithms for constrained biclustering, enhancing data matrix analysis by incorporating prior kn...

arXiv - Machine Learning · 4 min ·
[2507.21807] MIBoost: A Gradient Boosting Algorithm for Variable Selection After Multiple Imputation
Machine Learning

[2507.21807] MIBoost: A Gradient Boosting Algorithm for Variable Selection After Multiple Imputation

MIBoost introduces a novel gradient boosting algorithm for variable selection after multiple imputation, addressing challenges in model s...

arXiv - Machine Learning · 4 min ·
[2510.07231] EconCausal: A Context-Aware Causal Reasoning Benchmark for Large Language Models in Social Science
Llms

[2510.07231] EconCausal: A Context-Aware Causal Reasoning Benchmark for Large Language Models in Social Science

EconCausal introduces a benchmark for evaluating causal reasoning in large language models, highlighting their limitations in context-dep...

arXiv - AI · 4 min ·
[2507.11891] Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?
Ai Safety

[2507.11891] Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?

This paper explores the impact of data sharing on A/B experiments in recommendation systems, focusing on how interference affects algorit...

arXiv - Machine Learning · 4 min ·
[2510.04891] SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Llms

[2510.04891] SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests

The paper introduces SocialHarmBench, a dataset designed to evaluate the vulnerabilities of large language models (LLMs) to socially harm...

arXiv - Machine Learning · 4 min ·
[2510.05598] AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
Llms

[2510.05598] AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents

The paper presents AgentDR, a novel framework that enhances recommendation systems by leveraging LLMs to understand implicit item relatio...

arXiv - AI · 4 min ·
[2506.10572] Probability Bounding: Post-Hoc Calibration via Box-Constrained Softmax
Machine Learning

[2506.10572] Probability Bounding: Post-Hoc Calibration via Box-Constrained Softmax

The paper introduces Probability Bounding (PB), a novel post-hoc calibration method that uses Box-Constrained Softmax to improve the cali...

arXiv - Machine Learning · 3 min ·
[2504.12389] Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Machine Learning

[2504.12389] Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks

This article presents a novel approach to controlling blast furnace temperatures in steelmaking using hybrid quantum neural networks, sig...

arXiv - Machine Learning · 4 min ·
[2504.10507] PinRec: Unified Generative Retrieval for Pinterest Recommender Systems
Machine Learning

[2504.10507] PinRec: Unified Generative Retrieval for Pinterest Recommender Systems

The paper introduces PinRec, a unified generative retrieval model for Pinterest's recommendation systems, enhancing performance across va...

arXiv - Machine Learning · 4 min ·
[2503.14381] Optimizing High-Dimensional Oblique Splits
Machine Learning

[2503.14381] Optimizing High-Dimensional Oblique Splits

This article explores the optimization of high-dimensional oblique splits in decision trees, demonstrating their potential to enhance mod...

arXiv - Machine Learning · 4 min ·
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