Search papers, labs, and topics across Lattice.
6
0
9
F$^2$Agent achieves over 20% better annualized returns than existing models by dynamically capturing inter-modality dependencies and resisting market noise.
SGN enables effective data generation for shifted target domains without the need for retraining, transforming how we approach data augmentation in machine learning.
Forget retraining: this anomaly detection framework adapts to evolving data streams on-the-fly using a hypernetwork to shift parameters, achieving state-of-the-art performance.
Object-centric vision could be the key to unlocking LMMs' potential for precise object manipulation and fine-grained spatial reasoning, capabilities currently beyond their reach.
Integrating AI into databases introduces a complex web of challenges, from query optimization to security, that demand a fundamental rethinking of traditional database architectures.
A new unified LVLM, OmniCT, bridges the gap between slice-level detail and volumetric understanding in CT scans, outperforming existing methods by a significant margin.
