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Machine Learning

I got tired of memory systems that break when you spin up new agents or fail to track sub-agent sessions properly.

So I built heurchain—a memory layer that: - Works seamlessly with Hermes and any other agents in your stack - Persists across agent creat...

Reddit - Artificial Intelligence · 1 min ·
Llms

Should I buy Claude Pro as a BTech student — especially for the agentic/coding side? Honest takes wanted

​ Hey everyone, I'm a BTech (AI/ML) student considering Claude Pro ($20/month) but want to separate the real value from the marketing. I ...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Real World Physics-Informed AI Applications [D]

I'm curios to find any real-world applications of physics-informed AI. Conventional AI, talking only about Neural Networks, have already ...

Reddit - Machine Learning · 1 min ·

All Content

[2508.13998] Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
Llms

[2508.13998] Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Abstract page for arXiv paper 2508.13998: Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

arXiv - AI · 4 min ·
[2508.12301] WhisperRT -- Turning Whisper into a Causal Streaming Model
Machine Learning

[2508.12301] WhisperRT -- Turning Whisper into a Causal Streaming Model

Abstract page for arXiv paper 2508.12301: WhisperRT -- Turning Whisper into a Causal Streaming Model

arXiv - Machine Learning · 4 min ·
[2508.10208] CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market
Machine Learning

[2508.10208] CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

Abstract page for arXiv paper 2508.10208: CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

arXiv - AI · 4 min ·
[2506.19591] Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications
Machine Learning

[2506.19591] Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

Abstract page for arXiv paper 2506.19591: Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

arXiv - AI · 3 min ·
[2506.17585] Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Llms

[2506.17585] Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

Abstract page for arXiv paper 2506.17585: Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

arXiv - AI · 4 min ·
[2506.15461] All is Not Lost: LLM Recovery without Checkpoints
Llms

[2506.15461] All is Not Lost: LLM Recovery without Checkpoints

Abstract page for arXiv paper 2506.15461: All is Not Lost: LLM Recovery without Checkpoints

arXiv - Machine Learning · 4 min ·
[2506.07816] Accelerating Constrained Sampling: A Large Deviations Approach
Machine Learning

[2506.07816] Accelerating Constrained Sampling: A Large Deviations Approach

Abstract page for arXiv paper 2506.07816: Accelerating Constrained Sampling: A Large Deviations Approach

arXiv - Machine Learning · 4 min ·
[2506.01882] Learning thermodynamic master equations for open quantum systems
Machine Learning

[2506.01882] Learning thermodynamic master equations for open quantum systems

Abstract page for arXiv paper 2506.01882: Learning thermodynamic master equations for open quantum systems

arXiv - Machine Learning · 3 min ·
[2506.00077] Gaussian mixture models as a proxy for interacting language models
Llms

[2506.00077] Gaussian mixture models as a proxy for interacting language models

Abstract page for arXiv paper 2506.00077: Gaussian mixture models as a proxy for interacting language models

arXiv - Machine Learning · 4 min ·
[2505.18288] Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization
Machine Learning

[2505.18288] Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization

Abstract page for arXiv paper 2505.18288: Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization

arXiv - Machine Learning · 3 min ·
[2505.17087] Informatics for Food Processing
Machine Learning

[2505.17087] Informatics for Food Processing

Abstract page for arXiv paper 2505.17087: Informatics for Food Processing

arXiv - AI · 3 min ·
[2505.08548] From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
Llms

[2505.08548] From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Abstract page for arXiv paper 2505.08548: From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

arXiv - AI · 4 min ·
[2505.05375] Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Machine Learning

[2505.05375] Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

Abstract page for arXiv paper 2505.05375: Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

arXiv - AI · 4 min ·
[2503.08751] Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
Machine Learning

[2503.08751] Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning

Abstract page for arXiv paper 2503.08751: Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for ...

arXiv - Machine Learning · 4 min ·
[2502.06096] Post-detection inference for sequential changepoint localization
Machine Learning

[2502.06096] Post-detection inference for sequential changepoint localization

Abstract page for arXiv paper 2502.06096: Post-detection inference for sequential changepoint localization

arXiv - AI · 3 min ·
[2412.07469] Score-matching-based Structure Learning for Temporal Data on Networks
Machine Learning

[2412.07469] Score-matching-based Structure Learning for Temporal Data on Networks

Abstract page for arXiv paper 2412.07469: Score-matching-based Structure Learning for Temporal Data on Networks

arXiv - Machine Learning · 4 min ·
[2412.11308] From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
Machine Learning

[2412.11308] From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection

Abstract page for arXiv paper 2412.11308: From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection

arXiv - Machine Learning · 4 min ·
[2411.02225] Sparse Max-Affine Regression
Machine Learning

[2411.02225] Sparse Max-Affine Regression

Abstract page for arXiv paper 2411.02225: Sparse Max-Affine Regression

arXiv - Machine Learning · 4 min ·
[2410.14826] SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Llms

[2410.14826] SPRIG: Improving Large Language Model Performance by System Prompt Optimization

Abstract page for arXiv paper 2410.14826: SPRIG: Improving Large Language Model Performance by System Prompt Optimization

arXiv - AI · 4 min ·
[2403.12072] Floralens: a Deep Learning Model for the Portuguese Native Flora
Machine Learning

[2403.12072] Floralens: a Deep Learning Model for the Portuguese Native Flora

Abstract page for arXiv paper 2403.12072: Floralens: a Deep Learning Model for the Portuguese Native Flora

arXiv - Machine Learning · 4 min ·
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