MicroFuse fuses protein and genome representations via agreement and conflict experts to outperform single-modality and simple concatenation baselines on operon co-membership prediction, with largest gains on ambiguous cases.
International Conference on Learning Representations , year =
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
VANGUARD is a staged-training VLM framework that reports 94% ROC-AUC and 84% F1 on UCF-Crime while adding chain-of-thought reasoning and spatial grounding to video anomaly detection.
CT-AGD accelerates first-order optimization in deep learning by using finite-difference curvature estimates and noise-mitigation heuristics, achieving equivalent accuracy with 33% fewer training epochs and overhead comparable to Adam.
citing papers explorer
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MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning
MicroFuse fuses protein and genome representations via agreement and conflict experts to outperform single-modality and simple concatenation baselines on operon co-membership prediction, with largest gains on ambiguous cases.
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Reasoning-Guided Grounding: Elevating Video Anomaly Detection through Multimodal Large Language Models
VANGUARD is a staged-training VLM framework that reports 94% ROC-AUC and 84% F1 on UCF-Crime while adding chain-of-thought reasoning and spatial grounding to video anomaly detection.
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Accelerated Gradient Descent for Faster Convergence with Minimal Overhead
CT-AGD accelerates first-order optimization in deep learning by using finite-difference curvature estimates and noise-mitigation heuristics, achieving equivalent accuracy with 33% fewer training epochs and overhead comparable to Adam.