Our newest model: Chandra (OCR)
🗺️UMAP
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Can-t stop till you get enough
🗂️AnnData
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
⛰️Gradient Descent
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A Hybrid Deep Learning and Forensic Approach for Robust Deepfake Detection
arxiv.org·2d
📦Pseudobulk
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·1d
⛰️Gradient Descent
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When to Trust the Answer: Question-Aligned Semantic Nearest Neighbor Entropy for Safer Surgical VQA
arxiv.org·1d
🔢Embeddings
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Algorithmic Bias Mitigation in Federated News Recommendation via Causal Graph Regularization
📊Empirical Bayes
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CoCoVa: Chain of Continuous Vision-Language Thought for Latent Space Reasoning
arxiv.org·7h
🔢Embeddings
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Enhancing Federated Learning Privacy with QUBO
arxiv.org·7h
📊Empirical Bayes
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LA-MARRVEL: A Knowledge-Grounded and Language-Aware LLM Reranker for AI-MARRVEL in Rare Disease Diagnosis
arxiv.org·7h
📦Pseudobulk
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Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
arxiv.org·1d
📊Empirical Bayes
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·1d
⛰️Gradient Descent
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Forecasting Future Anatomies: Longitudianl Brain Mri-to-Mri Prediction
arxiv.org·7h
🗺️UMAP
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Benchmarking individual tree segmentation using multispectral airborne laser scanning data: the FGI-EMIT dataset
arxiv.org·1d
📐Computational Geometry
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CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
arxiv.org·1d
📦Pseudobulk
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·2d
🔲Zarr
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Beyond Standard LLMs
⛰️Gradient Descent
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