ICLR 2024 Past Genomics
ICLR 2024 Workshop on Machine Learning for Genomics Explorations
MLGenX 2024
- Submission deadline
- Feb 10, 2024, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (46)
Fetched from OpenReview (v2) on 2026-06-10.
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A mechanistically interpretable neural-network architecture for discovery of regulatory genomics
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AcceleratedLiNGAM: Learning causal DAGs at the speed of GPUs
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Active learning to discover pairwise genetic interactions via representation learning
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ADVANCING DNA LANGUAGE MODELS: THE GENOMICS LONG-RANGE BENCHMARK
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Are Genomic Language Models All You Need? Exploring Genomic Language Models on Protein Downstream Tasks
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BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
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Biologically Interpretable VAE with Supervision for Transcriptomics Data Under Ordinal Perturbations
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Cell-Type Prediction in Spatial Transcriptomics Data using Graph Neural Networks
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cellFlow: a generative flow-based model for single-cell count data
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Contrastive Poincaré Maps for single-cell data analysis
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DARKIN: A zero-shot classification benchmark and an evaluation of protein language models
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Deep Learning and Direct Sequencing of Labeled RNA Captures Transcriptome Dynamics
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Dirichlet Flow Matching with Applications to DNA Sequence Design
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Disentanglement via Mechanism Sparsity by Replaying Realizations of the Past
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DNA language models identify variants predictive across the human phenome
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DNA-DIFFUSION: LEVERAGING GENERATIVE MODELS FOR CONTROLLING CHROMATIN ACCESSIBILITY AND GENE EXPRESSION VIA SYNTHETIC REGULATORY ELEMENTS
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Drug Discovery with Dynamic Goal-aware Fragments
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Enhancing generative perturbation models with LLM-informed gene embeddings
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Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing
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Evaluating Spatial Encoding Strategies for Cell Type Annotation with Spatial Omics Data
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EvoSBDD: Latent Evolution for Accurate and Efficient Structure-Based Drug Design
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Expanding Genomic Discovery: Causally-Inspired Neural Networks for Predicting Therapeutic Targets
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Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction
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INTEGRATION OF GRAPH NEURAL NETWORK AND NEURAL-ODES FOR TUMOR DYNAMICS PREDICTION
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Interpretable and Generalizable Graph Learning via Subgraph Multilinear Extension
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IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup
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Joint Embedding of Transcriptomes and Text Enables Interactive Single-Cell RNA-seq Data Exploration via Natural Language
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Learning Drug Perturbations via Conditional Map Estimators
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Multi-ContrastiveVAE disentangles perturbation effects in single cell images from optical pooled screens
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Multi-Modal Contrastive Learning for Proteins by Combining Domain-Informed Views
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Multi-Resolution Graph Diffusion
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NICHEVI: A PROBABILISTIC FRAMEWORK TO EMBED CELLULAR INTERACTION IN SPATIAL TRANSCRIPTOMICS
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Optimizing Genetically-Driven Synaptogenesis
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Pairing interacting protein sequences using masked language modeling
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Propensity Score Alignment of Unpaired Multimodal Data
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Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
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Recurrent memory augmentation of GENA-LM improves performance on long DNA sequence tasks
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ResTran: A GNN Alternative to Learn A Graph with Features
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ROBUST SYMBOLIC REGRESSION FOR NETWORK TRAJECTORY INFERENCE
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Sample, estimate, aggregate: A recipe for causal discovery foundation models
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sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures
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Scalable Amortized GPLVMs for Single Cell Transcriptomics Data
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scvi-hub: A flexible framework for reference enabled single-cell data analysis
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Season combinatorial intervention predictions with Salt & Peper
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Unveiling Zero Shot Prediction for Gene Attributes Through Interpretable AI
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Whole Genome Transformers for Gene Interaction Effects in Microbiome Habitat Prediction