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ML Research
🔬 ML Research
machine learning, neural networks, deep learning, NeurIPS, ICML
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Topical Phase Transitions in Artificial Intelligence
Research
: Large-Scale Evidence and an Early-Warning Signature for Emerging Topics
📚
CS Research
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Topical Phase Transitions in Artificial Intelligence Research: Large-Scale Evidence and an Early-Warning Signature for Emerging Topics
Ultrafast
machine
learning
on FPGAs via Kolmogorov-Arnold
Networks
📚
CS Research
aarushgupta.io
·
3d
3 days ago
·
Lobsters
,
Hacker News
·
Cited by 2 articles
Actions for Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Efficient and accurate
neural-field
reconstruction using resistive memory
📚
CS Research
Content type:
Academic
nature.com
·
3d
3 days ago
Actions for Efficient and accurate neural-field reconstruction using resistive memory
ML
Job Interviews: The Ultimate Guide
📚
CS Research
Content type:
Blog
silviasapora.github.io
·
2d
2 days ago
·
Hacker News
·
Cited by 1 article
Actions for ML Job Interviews: The Ultimate Guide
Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive
architecture
for time series. Spotlight at FMSD @
ICML
2026.
📚
CS Research
Content type:
Code
github.com
·
3d
3 days ago
·
Hacker News
Actions for Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.
Catastrophic AI misuse
📚
CS Research
3
articles covering this post
80000hours.org
·
20h
20 hours ago
·
Cited by 3 articles
Actions for Catastrophic AI misuse
NightFeats @ MMU-RAGent
NeurIPS
2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track
📚
CS Research
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track
SynthonBench: Benchmarking Sample-Efficient Optimization in Combinatorial Chemical Spaces | Miroslav Lzicar
📚
CS Research
mireklzicar.com
·
3d
3 days ago
Actions for SynthonBench: Benchmarking Sample-Efficient Optimization in Combinatorial Chemical Spaces | Miroslav Lzicar
Loss Landscape Diagnosis for
Gradient-Based
Gray-Scott System Inversion: Disentangling the Roles of PINN Components
📚
CS Research
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components
Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution
✨
Generative AI
Content type:
News
Content type:
Blog
leetarxiv.substack.com
·
3d
3 days ago
·
Substack
,
r/programming
Actions for Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution
What Uncertainties Do We Need for Dynamical Systems?
📚
CS Research
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for What Uncertainties Do We Need for Dynamical Systems?
Gated Delta
Net
(Fable 5 vs Opus 4.8)
🧠
LLMs
Content type:
Blog
sankalp.bearblog.dev
·
1d
1 day ago
Actions for Gated Delta Net (Fable 5 vs Opus 4.8)
Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms
🤖
AI
Content type:
Blog
cncf.io
·
5d
5 days ago
Actions for Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms
Why Secure AI Needs Compile-Time Sandboxing
🤖
AI Agents
Content type:
Blog
jo-lang.org
·
1d
1 day ago
·
Hacker News
Actions for Why Secure AI Needs Compile-Time Sandboxing
Multi-Agent
Reinforcement
Learning
from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
🎮
Reinforcement Learning
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
microsoft/LLMLingua: [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
🤖
AI
Content type:
Code
github.com
·
10h
10 hours ago
·
DEV
Actions for microsoft/LLMLingua: [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary
Deep
Reinforcement
Learning
🎮
Reinforcement Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning
A2SG:Adaptive and Asymmetric Surrogate
Gradients
for Training
Deep
Spiking
Neural
Networks
📚
CS Research
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for A2SG:Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks
The Emergence of Reproducibility and Generalizability in Diffusion Models
✨
Generative AI
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for The Emergence of Reproducibility and Generalizability in Diffusion Models
Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background
📚
CS Research
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background
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