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Machine Learning

What tools are sr MLEs using? (clawdbot, openspec, wispr) [D]

I'm already blasting cursor, but I want to level up my output. I heard that these kind of AI tools and workflows are being asked in SF. W...

Reddit - Machine Learning · 1 min ·
Llms

[R] An attack class that passes every current LLM filter - no payload, no injection signature, no log trace

https://shapingrooms.com/research I've been documenting what I'm calling postural manipulation: a specific class of language that install...

Reddit - Machine Learning · 1 min ·
ScaleOps raises $130M to improve computing efficiency amid AI demand | TechCrunch
Ai Infrastructure

ScaleOps raises $130M to improve computing efficiency amid AI demand | TechCrunch

ScaleOps just raised $130M to tackle GPU shortages and soaring AI cloud costs by automating infrastructure in real time.

TechCrunch - AI · 5 min ·

All Content

[2603.04441] Explainable Regime Aware Investing
Machine Learning

[2603.04441] Explainable Regime Aware Investing

Abstract page for arXiv paper 2603.04441: Explainable Regime Aware Investing

arXiv - Machine Learning · 3 min ·
[2603.04425] Data-Driven Optimization of Multi-Generational Cellular Networks: A Performance Classification Framework for Strategic Infrastructure Management
Ai Infrastructure

[2603.04425] Data-Driven Optimization of Multi-Generational Cellular Networks: A Performance Classification Framework for Strategic Infrastructure Management

Abstract page for arXiv paper 2603.04425: Data-Driven Optimization of Multi-Generational Cellular Networks: A Performance Classification ...

arXiv - Machine Learning · 4 min ·
[2603.04424] When Scaling Fails: Network and Fabric Effects on Distributed GPU Training Performance
Machine Learning

[2603.04424] When Scaling Fails: Network and Fabric Effects on Distributed GPU Training Performance

Abstract page for arXiv paper 2603.04424: When Scaling Fails: Network and Fabric Effects on Distributed GPU Training Performance

arXiv - Machine Learning · 4 min ·
[2603.05353] InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
Machine Learning

[2603.05353] InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context

Abstract page for arXiv paper 2603.05353: InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context

arXiv - Machine Learning · 3 min ·
[2603.05343] Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs
Machine Learning

[2603.05343] Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs

Abstract page for arXiv paper 2603.05343: Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equiv...

arXiv - Machine Learning · 4 min ·
[2603.05232] SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
Llms

[2603.05232] SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity

Abstract page for arXiv paper 2603.05232: SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity

arXiv - Machine Learning · 3 min ·
[2603.05158] Balancing Privacy-Quality-Efficiency in Federated Learning through Round-Based Interleaving of Protection Techniques
Ai Infrastructure

[2603.05158] Balancing Privacy-Quality-Efficiency in Federated Learning through Round-Based Interleaving of Protection Techniques

Abstract page for arXiv paper 2603.05158: Balancing Privacy-Quality-Efficiency in Federated Learning through Round-Based Interleaving of ...

arXiv - Machine Learning · 4 min ·
[2603.05048] MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks
Machine Learning

[2603.05048] MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks

Abstract page for arXiv paper 2603.05048: MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks

arXiv - Machine Learning · 4 min ·
[2603.05000] Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems
Robotics

[2603.05000] Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems

Abstract page for arXiv paper 2603.05000: Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AM...

arXiv - Machine Learning · 3 min ·
[2603.04956] WaterSIC: information-theoretically (near) optimal linear layer quantization
Llms

[2603.04956] WaterSIC: information-theoretically (near) optimal linear layer quantization

Abstract page for arXiv paper 2603.04956: WaterSIC: information-theoretically (near) optimal linear layer quantization

arXiv - Machine Learning · 3 min ·
[2603.04955] Uncertainty-aware Blood Glucose Prediction from Continuous Glucose Monitoring Data
Machine Learning

[2603.04955] Uncertainty-aware Blood Glucose Prediction from Continuous Glucose Monitoring Data

Abstract page for arXiv paper 2603.04955: Uncertainty-aware Blood Glucose Prediction from Continuous Glucose Monitoring Data

arXiv - Machine Learning · 3 min ·
[2603.04948] $\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
Llms

[2603.04948] $\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space

Abstract page for arXiv paper 2603.04948: $\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space

arXiv - Machine Learning · 4 min ·
[2603.04768] Distributional Reinforcement Learning with Information Bottleneck for Uncertainty-Aware DRAM Equalization
Ai Infrastructure

[2603.04768] Distributional Reinforcement Learning with Information Bottleneck for Uncertainty-Aware DRAM Equalization

Abstract page for arXiv paper 2603.04768: Distributional Reinforcement Learning with Information Bottleneck for Uncertainty-Aware DRAM Eq...

arXiv - Machine Learning · 3 min ·
[2603.04606] PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion
Llms

[2603.04606] PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion

Abstract page for arXiv paper 2603.04606: PDE foundation model-accelerated inverse estimation of system parameters in inertial confinemen...

arXiv - Machine Learning · 4 min ·
[2603.04595] A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments
Ai Safety

[2603.04595] A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments

Abstract page for arXiv paper 2603.04595: A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthca...

arXiv - Machine Learning · 4 min ·
[2603.04545] An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
Llms

[2603.04545] An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs

Abstract page for arXiv paper 2603.04545: An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs

arXiv - Machine Learning · 4 min ·
[2601.02663] When Do Tools and Planning Help Large Language Models Think? A Cost- and Latency-Aware Benchmark
Llms

[2601.02663] When Do Tools and Planning Help Large Language Models Think? A Cost- and Latency-Aware Benchmark

Abstract page for arXiv paper 2601.02663: When Do Tools and Planning Help Large Language Models Think? A Cost- and Latency-Aware Benchmark

arXiv - AI · 4 min ·
[2512.13586] ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
Llms

[2512.13586] ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding

Abstract page for arXiv paper 2512.13586: ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding

arXiv - Machine Learning · 4 min ·
[2512.01153] DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling
Generative Ai

[2512.01153] DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling

Abstract page for arXiv paper 2512.01153: DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling

arXiv - Machine Learning · 4 min ·
[2511.16786] Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach
Llms

[2511.16786] Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach

Abstract page for arXiv paper 2511.16786: Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach

arXiv - Machine Learning · 4 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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