ICLR 2026PastOther
Learning Meaningful Representations of Life (LMRL) Workshop at ICLR 2026
ICLR 2026 Workshop LMRL
- Submission deadline
- Feb 9, 2026, 11:59 UTCOpenReview-synced 2026-02-09 11:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (65)
Fetched from OpenReview (v2) on 2026-06-10.
A Comprehensive Benchmark of Batch Integration Methods for Spatial Transcriptomics Using a Large-Scale Cancer Atlas
A Forecasting Benchmark of Large-Scale Neural Populations during Task-Driven Behavior
A Geometric Perspective on Zero-Shot Variant Effect Prediction Across the Central Dogma
A Hierarchical Surface Graph Framework for Protein–Protein Binding Affinity Prediction
A Transcriptomic Benchmark for Foundation Models in Immunology and Inflammation Drug Development
Agentic orchestration of drug discovery ML tools under partial observability
ALPHASURF: ON-THE-FLY SURFACE COMPUTATIONS FOR PROTEIN REPRESENTATION LEARNING
Antibody design with steerable discrete diffusion
Are Vision Foundation Models foundational for electron microscopy image segmentation?
AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance
AtomSurf-PPI: Protein-Protein Docking with Geometric Deep Learning Representations
Beyond Motif Localization: Probing Rule-Level Signals in Synthetic Genomic Grammars
CELLTARNET: SINGLE-CELL PERTURBATION PREDICTION USING TRANSFORMER BASED NORMALIZING FLOW
Converting diffusions to flows accelerates sampling and suggests over-conditioning of co-folding models on sequence
Deep Learning for BioImaging: What Are We Learning?
Efficient Cell Painting Image Representation Learning via Cross-Well Aligned Masked Siamese Network
Enigma: An Efficient Model for Deciphering Regulatory Genomics
Entropy, Disagreement, and the Limits of Foundation Models in Genomics
EVA-RNA: A Scaling Cross-Species Transcriptomic Foundation Models for Immunology & Inflammation
Exploring Perturbation Effects on Transcriptional Dynamics with ContrastiveBiVI
From Static to Dynamic: Inferring Protein Dynamics from Structure and Language Embeddings
From Words to Amino Acids: Does the Curse of Depth Persist?
GeneGrad: Gene-Specific Geometric Gradients for Cell Fate Prediction in Single-Cell Transcriptomics
Generating a Novel Dataset for Mechanisms of Drug-Induced Toxicity using LLM-supported tools
Generative Modeling of Protein Conformational Ensembles With Cryo-EM Density Map Diffusion
Geometric Fragility in Alzheimer's Disease: Probing the Loss of Hippocampal Hierarchical Abstraction via Contrastive Point Cloud Modeling
Graph Set Transformer: Learning Graph Representations with Set Context
Hiding in Plain Sight: Visible Gene Correlations Undermine Single-Cell Representations
Hierarchical Multi-Omic CLIP for Missing-Modality Imputation & Transfer Learning in Blood Cancers
Hierarchical Multi-Scale Modeling of Absolute Binding Affinity in Protein Complexes
Higher-order grammar representations for molecular generation and learning
How Far Can LLMs Go On Cognitive Health Prediction? A Study On EMA Data
Incorporating contextual information into KGWAS for interpretable GWAS discovery
Intermediate Layers Encode Optimal Biological Representations in Single-Cell Foundation Models
Interpretable AI Reasoning for the Identification of Vibrational Spectroscopic Markers of Acetaminophen Impurities
JUST ADD STRUCTURE: PROTEIN LANGUAGE MODELS COMBINED WITH STRUCTURAL EQUIVARIANCE EXCEL AT PROTEIN TASKS
Learning Continuous Morphological Trajectories via Latent Principal Curves
Learning Dynamic Protein Representations at Scale with Distograms
Learning image representation for limited cryo-EM data
Learning Joint Morpho-Molecular Tissue Representations with a Multimodal Transformer
Mechanistic Interpretability of Antibody Language Models Using SAEs
Methylation-Aware Embedding Geometry Emerges from Bisulfite Pretraining in DNA Language Models
mRNABench: A curated benchmark for mature mRNA property and function prediction
Multimodal Manifold Learning for Clonally Constrained Trajectory Inference
On The Robustness of scRNA-seq Foundation Models for Plants Under Cross-Domain Experimental Shift
On the role of drug representations for single-cell perturbation modeling
Orthogonal Evaluations Enable More Robust Predictions of Protein-Ligand Interactions
pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
PepRePs: Peptide-Retargeted Phosphatases via Generative Language Models
Physics-Constrained Correlation-Aware Attention for Collective Cell Dynamics
Protein generation with embedding learning for motif diversification
Reading TEA leaves for de novo protein design
Rewriting protein alphabets with language models
Sequence-context-aware decoding enables robust reconstruction of protein dynamics from crystallographic B-factors
SNOOPPI: Sequence-Normalized Database of On- and Off-Target Protein-Protein Interactions
Spatial Autocorrelation Predicts Cross-Modal Learnability: A Systematic Benchmark of Metabolite Prediction from Gene Expression
TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
Towards Cross-Sample Alignment for Multi-Modal Representation Learning in Spatial Transcriptomics
Tracing Pharmacological Knowledge in Large Language Models
Trajectory-conditioned reconstruction of single-cell expression suggests regulatory programs
TripleThreat: Benchmarking Functional Sensitivity in Protein Representations with Paralog-Ortholog Triplets
TRUST-REGION SALIENCY-GUIDED LOCAL SEARCH FOR INTERPRETABLE SEQUENCE DESIGN AT FIXED EDIT BUDGETS
Wasserstein Motifs: Non-deterministic Alignment of Ecological Networks
What information is preserved in latent cell embeddings? A Benchmark for Single-Cell Reconstruction