conftrace_

single-cell genomics

6 papers

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Co-occurring keywords · papers mentioning both

variational autoencoder (3) representation learning (2) cross-modality embedding (1) modality-incomplete data (1) sparse mechanism shift (1) cell development (1) latent vocabulary (1) neural network (1) bures-wasserstein manifold (1) covariance matrix regression (1)

Papers

scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract) AAAI 2025 Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025 Estimating Unknown Population Sizes Using the Hypergeometric Distribution ICML 2024 GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics NeurIPS 2024 Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling CLeaR 2023 Cross-Linked Unified Embedding for cross-modality representation learning NeurIPS 2022