Machine Learning

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Machine Learning

Auroch - The Future of AI Memory

Auroch Engine is an external memory layer for AI assistants — designed to give models better long-term recall, personalization, and conte...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Project Aurelia — A 3-model architecture (80B + 13B + 9B) that physically reacts to my real-time heart rate via mmWave radar, spatial awareness via Lidar, and Vibration via Accelerometer. All on a Framework Desktop + eGPU

Hey everyone, I’ve been building a multi-agent system in my spare time, and I just open-sourced the repository. I was getting tired of th...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Help needed [D]

Heyy guyss... I had made the image dataset and was currently working on its training using the srnet model... I made it train on batches ...

Reddit - Machine Learning · 1 min ·

All Content

[2506.08125] Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
Llms

[2506.08125] Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning

Abstract page for arXiv paper 2506.08125: Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement ...

arXiv - Machine Learning · 4 min ·
[2506.02371] SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples
Machine Learning

[2506.02371] SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples

Abstract page for arXiv paper 2506.02371: SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples

arXiv - Machine Learning · 3 min ·
[2506.01897] MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation
Llms

[2506.01897] MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation

Abstract page for arXiv paper 2506.01897: MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation

arXiv - Machine Learning · 4 min ·
[2505.24535] Beyond Linear Steering: Unified Multi-Attribute Control for Language Models
Llms

[2505.24535] Beyond Linear Steering: Unified Multi-Attribute Control for Language Models

Abstract page for arXiv paper 2505.24535: Beyond Linear Steering: Unified Multi-Attribute Control for Language Models

arXiv - AI · 3 min ·
[2505.21972] LLMs Judging LLMs: A Simplex Perspective
Llms

[2505.21972] LLMs Judging LLMs: A Simplex Perspective

Abstract page for arXiv paper 2505.21972: LLMs Judging LLMs: A Simplex Perspective

arXiv - AI · 4 min ·
[2505.21605] SoSBench: Benchmarking Safety Alignment on Six Scientific Domains
Llms

[2505.21605] SoSBench: Benchmarking Safety Alignment on Six Scientific Domains

Abstract page for arXiv paper 2505.21605: SoSBench: Benchmarking Safety Alignment on Six Scientific Domains

arXiv - AI · 4 min ·
[2505.14202] MSDformer: Multi-scale Discrete Transformer For Time Series Generation
Machine Learning

[2505.14202] MSDformer: Multi-scale Discrete Transformer For Time Series Generation

Abstract page for arXiv paper 2505.14202: MSDformer: Multi-scale Discrete Transformer For Time Series Generation

arXiv - Machine Learning · 4 min ·
[2505.13742] Understanding Task Representations in Neural Networks via Bayesian Ablation
Machine Learning

[2505.13742] Understanding Task Representations in Neural Networks via Bayesian Ablation

Abstract page for arXiv paper 2505.13742: Understanding Task Representations in Neural Networks via Bayesian Ablation

arXiv - AI · 3 min ·
[2505.12530] Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
Machine Learning

[2505.12530] Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints

Abstract page for arXiv paper 2505.12530: Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints

arXiv - Machine Learning · 4 min ·
[2505.12167] FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models
Machine Learning

[2505.12167] FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models

Abstract page for arXiv paper 2505.12167: FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models

arXiv - Machine Learning · 3 min ·
[2505.03530] A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders
Machine Learning

[2505.03530] A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders

Abstract page for arXiv paper 2505.03530: A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Aut...

arXiv - Machine Learning · 4 min ·
[2503.03206] An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
Machine Learning

[2503.03206] An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

Abstract page for arXiv paper 2503.03206: An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

arXiv - Machine Learning · 4 min ·
[2502.15567] Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses
Machine Learning

[2502.15567] Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses

Abstract page for arXiv paper 2502.15567: Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses

arXiv - Machine Learning · 4 min ·
[2502.07977] RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
Machine Learning

[2502.07977] RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent

Abstract page for arXiv paper 2502.07977: RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent

arXiv - Machine Learning · 4 min ·
[2502.02020] Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment
Machine Learning

[2502.02020] Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment

Abstract page for arXiv paper 2502.02020: Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment

arXiv - Machine Learning · 4 min ·
[2501.15458] Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions
Machine Learning

[2501.15458] Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions

Abstract page for arXiv paper 2501.15458: Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From ...

arXiv - Machine Learning · 4 min ·
[2411.18235] Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
Machine Learning

[2411.18235] Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

Abstract page for arXiv paper 2411.18235: Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

arXiv - AI · 4 min ·
[2410.07430] EventFlow: Forecasting Temporal Point Processes with Flow Matching
Machine Learning

[2410.07430] EventFlow: Forecasting Temporal Point Processes with Flow Matching

Abstract page for arXiv paper 2410.07430: EventFlow: Forecasting Temporal Point Processes with Flow Matching

arXiv - Machine Learning · 3 min ·
[2410.02260] FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks
Machine Learning

[2410.02260] FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks

Abstract page for arXiv paper 2410.02260: FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks

arXiv - Machine Learning · 3 min ·
[2307.09366] Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
Machine Learning

[2307.09366] Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives

Abstract page for arXiv paper 2307.09366: Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Pers...

arXiv - Machine Learning · 4 min ·
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