MIRAGE uses adaptive multimodal gating on native multimodal backbones plus a transformer encoder to achieve state-of-the-art whole-brain fMRI prediction for naturalistic audiovisual stimuli, outperforming post-hoc unimodal aggregation.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Graphene transport in a NiI2 heterostructure exhibits magnetic-state-dependent anisotropic low-field magnetoresistance peaks absent in controls and suppressed above the NiI2 transition temperature.
Introduces a scalable AI skill framework for autonomous microkinetics discovery that automates workflows and evaluates surrogate reliability.
citing papers explorer
-
MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
MIRAGE uses adaptive multimodal gating on native multimodal backbones plus a transformer encoder to achieve state-of-the-art whole-brain fMRI prediction for naturalistic audiovisual stimuli, outperforming post-hoc unimodal aggregation.
-
Interfacial Magnetotransport in a NiI$_2$/Graphene Heterostructure
Graphene transport in a NiI2 heterostructure exhibits magnetic-state-dependent anisotropic low-field magnetoresistance peaks absent in controls and suppressed above the NiI2 transition temperature.
-
Toward Exascale AI for Science: A Scalable AI Skill for Autonomous Microkinetics Discovery
Introduces a scalable AI skill framework for autonomous microkinetics discovery that automates workflows and evaluates surrogate reliability.