ICLR 2026 Past Other
Learning Meaningful Representations of Life (LMRL) Workshop at ICLR 2026
ICLR 2026 Workshop LMRL
- Submission deadline
- Feb 9, 2026, 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 (65)
Fetched from OpenReview (v2) on 2026-06-10.
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A Comprehensive Benchmark of Batch Integration Methods for Spatial Transcriptomics Using a Large-Scale Cancer Atlas
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A Forecasting Benchmark of Large-Scale Neural Populations during Task-Driven Behavior
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A Geometric Perspective on Zero-Shot Variant Effect Prediction Across the Central Dogma
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A Hierarchical Surface Graph Framework for Protein–Protein Binding Affinity Prediction
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A Transcriptomic Benchmark for Foundation Models in Immunology and Inflammation Drug Development
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Agentic orchestration of drug discovery ML tools under partial observability
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ALPHASURF: ON-THE-FLY SURFACE COMPUTATIONS FOR PROTEIN REPRESENTATION LEARNING
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Antibody design with steerable discrete diffusion
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Are Vision Foundation Models foundational for electron microscopy image segmentation?
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AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance
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AtomSurf-PPI: Protein-Protein Docking with Geometric Deep Learning Representations
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Beyond Motif Localization: Probing Rule-Level Signals in Synthetic Genomic Grammars
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CELLTARNET: SINGLE-CELL PERTURBATION PREDICTION USING TRANSFORMER BASED NORMALIZING FLOW
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Converting diffusions to flows accelerates sampling and suggests over-conditioning of co-folding models on sequence
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Deep Learning for BioImaging: What Are We Learning?
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Efficient Cell Painting Image Representation Learning via Cross-Well Aligned Masked Siamese Network
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Enigma: An Efficient Model for Deciphering Regulatory Genomics
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Entropy, Disagreement, and the Limits of Foundation Models in Genomics
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EVA-RNA: A Scaling Cross-Species Transcriptomic Foundation Models for Immunology & Inflammation
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Exploring Perturbation Effects on Transcriptional Dynamics with ContrastiveBiVI
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From Static to Dynamic: Inferring Protein Dynamics from Structure and Language Embeddings
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From Words to Amino Acids: Does the Curse of Depth Persist?
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GeneGrad: Gene-Specific Geometric Gradients for Cell Fate Prediction in Single-Cell Transcriptomics
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Generating a Novel Dataset for Mechanisms of Drug-Induced Toxicity using LLM-supported tools
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Generative Modeling of Protein Conformational Ensembles With Cryo-EM Density Map Diffusion
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Geometric Fragility in Alzheimer's Disease: Probing the Loss of Hippocampal Hierarchical Abstraction via Contrastive Point Cloud Modeling
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Graph Set Transformer: Learning Graph Representations with Set Context
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Hiding in Plain Sight: Visible Gene Correlations Undermine Single-Cell Representations
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Hierarchical Multi-Omic CLIP for Missing-Modality Imputation & Transfer Learning in Blood Cancers
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Hierarchical Multi-Scale Modeling of Absolute Binding Affinity in Protein Complexes
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Higher-order grammar representations for molecular generation and learning
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How Far Can LLMs Go On Cognitive Health Prediction? A Study On EMA Data
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Incorporating contextual information into KGWAS for interpretable GWAS discovery
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Intermediate Layers Encode Optimal Biological Representations in Single-Cell Foundation Models
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Interpretable AI Reasoning for the Identification of Vibrational Spectroscopic Markers of Acetaminophen Impurities
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JUST ADD STRUCTURE: PROTEIN LANGUAGE MODELS COMBINED WITH STRUCTURAL EQUIVARIANCE EXCEL AT PROTEIN TASKS
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Learning Continuous Morphological Trajectories via Latent Principal Curves
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Learning Dynamic Protein Representations at Scale with Distograms
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Learning image representation for limited cryo-EM data
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Learning Joint Morpho-Molecular Tissue Representations with a Multimodal Transformer
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Mechanistic Interpretability of Antibody Language Models Using SAEs
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Methylation-Aware Embedding Geometry Emerges from Bisulfite Pretraining in DNA Language Models
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mRNABench: A curated benchmark for mature mRNA property and function prediction
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Multimodal Manifold Learning for Clonally Constrained Trajectory Inference
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On The Robustness of scRNA-seq Foundation Models for Plants Under Cross-Domain Experimental Shift
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On the role of drug representations for single-cell perturbation modeling
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Orthogonal Evaluations Enable More Robust Predictions of Protein-Ligand Interactions
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pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
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PepRePs: Peptide-Retargeted Phosphatases via Generative Language Models
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Physics-Constrained Correlation-Aware Attention for Collective Cell Dynamics
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Protein generation with embedding learning for motif diversification
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Reading TEA leaves for de novo protein design
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Rewriting protein alphabets with language models
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Sequence-context-aware decoding enables robust reconstruction of protein dynamics from crystallographic B-factors
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SNOOPPI: Sequence-Normalized Database of On- and Off-Target Protein-Protein Interactions
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Spatial Autocorrelation Predicts Cross-Modal Learnability: A Systematic Benchmark of Metabolite Prediction from Gene Expression
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TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
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TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
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Towards Cross-Sample Alignment for Multi-Modal Representation Learning in Spatial Transcriptomics
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Tracing Pharmacological Knowledge in Large Language Models
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Trajectory-conditioned reconstruction of single-cell expression suggests regulatory programs
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TripleThreat: Benchmarking Functional Sensitivity in Protein Representations with Paralog-Ortholog Triplets
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TRUST-REGION SALIENCY-GUIDED LOCAL SEARCH FOR INTERPRETABLE SEQUENCE DESIGN AT FIXED EDIT BUDGETS
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Wasserstein Motifs: Non-deterministic Alignment of Ecological Networks
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What information is preserved in latent cell embeddings? A Benchmark for Single-Cell Reconstruction