Workshop
Fri Dec 09 04:30 AM -- 02:00 PM (PST) @ Virtual None
Learning Meaningful Representations of Life
[ Contact: lmrl@lmrl.org ]
All events will be in a non-NeurIPS Zoom and on Gather.Town, without embedded streaming. Links below.
| Poster Preview on Gather.Town (Poster Session) | |
| Keynote - Rich Bonneau (Talks) | |
| Contributed & Lightning talks (Talks) | |
| Poster Session | |
| Keynote - Shantanu Singh (Keynote) | |
| Contributed & Lightning talks (Talks) | |
| Keynote - Pulin Li (Talks) | |
| Contributed & Lightning talks (Talks) | |
| Itai Yanai - "Night Science:" The creative side of the scientific process (Talk) | |
| Poster Session | |
| Interpretable visualization of single cell data using Janus autoencoders (Poster) | |
| Machine Learning enabled Pooled Optical Screening in Human Lung Cancer Cells (Poster) | |
| An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic Discovery (Poster) | |
| EpiAttend: A transformer model of gene regulation combining single cell epigenomes with DNA sequence (Poster) | |
| Multimodal Cell-Free DNA Embeddings are Informative for Early Cancer Detection (Poster) | |
| Continuous cell-state density inference and applications for single-cell data (Poster) | |
| TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction (Poster) | |
| Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings (Poster) | |
| ChromFormer: A transformer-based model for 3D genome structure prediction (Poster) | |
| Improving Protein Subcellular Localization Prediction with Structural Prediction & Graph Neural Networks (Poster) | |
| A single-cell gene expression language model (Poster) | |
| Standards, tooling and benchmarks to probe representation learning on proteins (Poster) | |
| A Modelling Framework for Catalysing Progress in the Rod-Shaped Bacterial Cell Growth Discourse (Poster) | |
| CP2Image: generating high-quality single-cell images using CellProfiler representations (Poster) | |
| Knowledge distillation for fast and accurate DNA sequence correction (Poster) | |
| MolE: a molecular foundation model for drug discovery (Poster) | |
| Learning representations of cell populations for image-based profiling using contrastive learning (Poster) | |
| Double trouble: Predicting new variant counts across two heterogeneous populations (Poster) | |
| Transformer Model for Genome Sequence Analysis (Poster) | |
| SCOOTR: Single-Cell Multimodal Data Integration with Contrastive Learning and Optimal Transport (Poster) | |
| Conditional Neural Processes for Molecules (Poster) | |
| Learning relationships between histone modifications in single cells (Poster) | |
| Deep Fitness Inference for Drug Discovery with Directed Evolution (Poster) | |
| Translating L-peptides into non-canonical linear and macrocyclic peptides (Poster) | |
| Using hierarchical variational autoencoders to incorporate conditional independent priors for paired single-cell multi-omics data integration (Poster) | |
| 3D single-cell shape analysis of cancer cells using geometric deep learning (Poster) | |
| Representation Learning to Integrate and Interpret Omics Data (Poster) | |
| Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data (Poster) | |
| Box Prediction Rebalancing for Training Single-Stage Object Detectors with Partially Labeled Data (Poster) | |
| Spatially-aware dimension reduction of transcriptomics data (Poster) | |
| Designing and Evolving Neuron-Specific Proteases (Poster) | |
| Network-Based Clustering of Pan-Cancer Data Accounting for Clinical Covariates (Poster) | |
| CoSpar identifies early cell fate biases from single cell transcriptomic and lineage information (Poster) | |
| What cleaves? Is proteasomal cleavage prediction reaching a ceiling? (Poster) | |
| Learning More Effective Cell Representations Efficiently (Poster) | |
| Personalised drug recommendation from augmented gene expression data - the right drug(s) for the right patient (Poster) | |
| Modeling Single-Cell Dynamics Using Unbalanced Parameterized Monge Maps (Poster) | |
| Learning Canonical Cellular Environments from Spatial Transcriptomic Data via Optimal Transport (Poster) | |
| Designing active and thermostable enzymes with sequence-only predictive models (Poster) | |
| Joint Protein Sequence-Structure Co-Design via Equivariant Diffusion (Poster) | |
| Find your microenvironments faster with Neural Spatial LDA (Poster) | |
| Tuned Quadratic Landscapes for Benchmarking Model-Guided Protein Design (Poster) | |
| Forecasting labels under distribution-shift for machine-guided sequence design (Poster) | |
| decOM: Similarity-based microbial source tracking of ancient oral samples using k-mer-based methods (Poster) | |
| Fuzzy Logic for Biological Networks as ML Regression: Scaling to Single-Cell Datasets With Autograd (Poster) | |
| LANTERN-RD: Enabling Deep Learning for Mitigation of the Invasive Spotted Lanternfly (Poster) | |
| scPerturb: Information Resource for Harmonized Single-Cell Perturbation Data (Poster) | |
| Unsupervised language models for disease variant prediction (Poster) | |
| Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world (Poster) | |
| Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels (Poster) | |
| Is brightfield all you need for MoA prediction? (Poster) | |
| Kernelized Stein Discrepancies for Biological Sequences (Poster) | |
| Data-driven subgroup identification for linear regression (Poster) | |
| Multimodal deep transfer learning for the analysis of optical coherence tomography scans and retinal fundus photographs (Poster) | |
| Generative model for Pseudomonad genomes (Poster) | |
| Simultaneous alignment of cells and features of unpaired single-cell multi-omics datasets with co-optimal transport (Poster) | |
| meTCRs - Learning a metric for T-cell receptors (Poster) | |
| Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data (Poster) | |
| Seeded iterative clustering for histology region identification (Poster) | |
| How can we use natural evolution and genetic experiments to design protein functions? (Poster) | |
| Using co-localization priors and microenvironment statistics to reconstruct tissue organization from single-cell data (Poster) | |
| A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction (Poster) | |
| Energy-based Modelling for Single-cell Data Annotation (Poster) | |
| Biological Cartography: Building and Benchmarking Representations of Life (Poster) | |
| Protein language model rescue mutations highlight variant effects and structure in clinically relevant genes (Poster) | |
| Regression-Based Elastic Metric Learning on Shape Spaces of Cell Curves (Poster) | |