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2025-10-07 · arXiv (Cornell University)

Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density

Joint Embedding Predictive Architectures (JEPAs) learn representations able to solve numerous downstream tasks out-of-the-box. JEPAs combine two objectives: (i) a latent-space prediction term, i.e., the representation of a slightly perturbed sample must be predictable from…

DOI: 10.48550/arxiv.2510.05949View paper →

2025-11-06 · arXiv (Cornell University)

Cambrian-S: Towards Spatial Supersensing in Video

We argue that progress in true multimodal intelligence calls for a shift from reactive, task-driven systems and brute-force long context towards a broader paradigm of supersensing. We frame spatial supersensing as four stages beyond linguistic-only…

DOI: 10.48550/arxiv.2511.04670View paper →

2026-05-20 · Nature Communications

Multi-modal AI for comprehensive breast cancer prognostication

Treatment selection in breast cancer is guided by risk assessment using molecular subtypes and clinicopathological characteristics. However, current approaches lack the precision required for optimal clinical decision-making. To address this, we use data from 8161…

DOI: 10.1038/s41467-026-73088-yView paper →

2026-01-01 · SSRN Electronic Journal

Exploiting Structural Properties of the Allocation Subproblem in Emergency Logistics Center Location: A Dominance-Preserving Decoder and Heuristic-Priority Discrete PSO

Exploiting Structural Properties of the Allocation Subproblem in Emergency Logistics Center Location: A Dominance-Preserving Decoder and Heuristic-Priority Discrete PSO, published in SSRN Electronic Journal on 2026-01-01. Verify the complete record using the DOI link.

DOI: 10.2139/ssrn.6814809View paper →

2026-06-23 · bioRxiv (Cold Spring Harbor Laboratory)

Programming T cells for intercellular genome editing

Therapeutic genome editing requires delivery of editing molecules to defined cell types, but targeting specificity and efficiency are currently limited. We hypothesized that properties inherent to immune cells, including tissue infiltration and programmed cell recognition,…

DOI: 10.64898/2026.06.21.729417View paper →

2026-08-11 · bioRxiv (Cold Spring Harbor Laboratory)

Reprogramming Cas9 PAM Recognition for Allele-Specific Editing

Summary The therapeutic potential of CRISPR–Cas9 genome editing is fundamentally constrained by the requirement for specific short DNA sequences (PAMs) flanking the target site, limiting access to many clinically relevant genomic loci. This stringent PAM…

DOI: 10.64898/2026.08.10.744034View paper →