Machine Learning
Microsoft wants lawyers to trust its new AI agent in Word documents | The Verge
Microsoft’s Legal Agent comes from the work of former Robin AI engineers.
The Verge - AI
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3 min
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Machine Learning
ML algorithms, training, and inference
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Machine Learning
Newbie AI question
TBH I don't know if our current "AI" models are capable of thinking. There is a massive pattern i'm noticing when using AI and have been ...
Reddit - Artificial Intelligence
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1 min
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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
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4 min
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All Content
![[2604.05960] A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Llms
[2604.05960] A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis
Abstract page for arXiv paper 2604.05960: A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05929] ReLU Networks for Exact Generation of Similar Graphs
Abstract page for arXiv paper 2604.05929: ReLU Networks for Exact Generation of Similar Graphs
arXiv - AI
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4 min
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Machine Learning
[2604.05923] The UNDO Flip-Flop: A Controlled Probe for Reversible Semantic State Management in State Space Model
Abstract page for arXiv paper 2604.05923: The UNDO Flip-Flop: A Controlled Probe for Reversible Semantic State Management in State Space ...
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05844] Modeling Patient Care Trajectories with Transformer Hawkes Processes
Abstract page for arXiv paper 2604.05844: Modeling Patient Care Trajectories with Transformer Hawkes Processes
arXiv - Machine Learning
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3 min
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Machine Learning
[2604.05843] EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding
Abstract page for arXiv paper 2604.05843: EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transfor...
arXiv - AI
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3 min
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Machine Learning
[2604.05842] Expectation Maximization (EM) Converges for General Agnostic Mixtures
Abstract page for arXiv paper 2604.05842: Expectation Maximization (EM) Converges for General Agnostic Mixtures
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05834] Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning
Abstract page for arXiv paper 2604.05834: Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05829] Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
Abstract page for arXiv paper 2604.05829: Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05732] Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
Abstract page for arXiv paper 2604.05732: Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05730] Controllable Image Generation with Composed Parallel Token Prediction
Abstract page for arXiv paper 2604.05730: Controllable Image Generation with Composed Parallel Token Prediction
arXiv - Machine Learning
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3 min
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Machine Learning
[2604.05700] Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space
Abstract page for arXiv paper 2604.05700: Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05635] From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning
Abstract page for arXiv paper 2604.05635: From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Lea...
arXiv - Machine Learning
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4 min
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Llms
[2604.05613] Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutation-Equivalent Encodings
Abstract page for arXiv paper 2604.05613: Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via Permutati...
arXiv - Machine Learning
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3 min
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Llms
[2604.05426] ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
Abstract page for arXiv paper 2604.05426: ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
arXiv - AI
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4 min
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Machine Learning
[2604.05414] Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Representations
Abstract page for arXiv paper 2604.05414: Training Without Orthogonalization, Inference With SVD: A Gradient Analysis of Rotation Represe...
arXiv - Machine Learning
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4 min
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Machine Learning
[2604.05374] LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers
Abstract page for arXiv paper 2604.05374: LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection La...
arXiv - Machine Learning
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3 min
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Machine Learning
[2604.05335] Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
Abstract page for arXiv paper 2604.05335: Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
arXiv - Machine Learning
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3 min
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Machine Learning
[2604.05324] A Theoretical Framework for Statistical Evaluability of Generative Models
Abstract page for arXiv paper 2604.05324: A Theoretical Framework for Statistical Evaluability of Generative Models
arXiv - Machine Learning
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4 min
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Llms
[2604.05306] LLMs Should Express Uncertainty Explicitly
Abstract page for arXiv paper 2604.05306: LLMs Should Express Uncertainty Explicitly
arXiv - AI
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4 min
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Machine Learning
[2604.05257] Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
Abstract page for arXiv paper 2604.05257: Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation
arXiv - AI
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4 min
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