ICLR 2024 Past GenomicsGenerative models
ICLR 2024 Workshop on Generative and Experimental Perspectives for Biomolecular Design
GEM
- Submission deadline
- Feb 8, 2024, 04:59 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 (75)
Fetched from OpenReview (v2) on 2026-06-10.
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$\textit{In vitro}$ VALIDATED ANTIBODY DESIGN AGAINST MULTIPLE THERAPEUTIC ANTIGENS USING GENERATIVE INVERSE FOLDING
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3D Inverse Design of RNA using Deep Learning
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A High-Throughput Human Display Screen to Identify Target-Specific Binder Proteins via Chimeric Antigen Receptors
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A New Ultra-High-Throughput Assay for Measuring Protein Fitness
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A proteome-scale masked language model for fast protein-protein interaction prediction
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Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models
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Accurate predictions of enzymatic biochemistry as an enabler for generation of de-novo sequences
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AceGen: A TorchRL-based toolkit for reinforcement learning in generative chemistry
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Active learning to discover pairwise genetic interactions via representation learning
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AI-accelerated biocatalyst engineering by rapid microfluidic sequence-function mapping
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Antibody Design with Constrained Bayesian Optimization
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Antibody sequence optimization with gradient-guided discrete walk-jump sampling
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CLASSIC: A platform for high throughput mapping of genetic design spaces in mammalian cells and ML guided prediction of gene circuit behavior
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CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
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COMPUTATIONAL DESIGN OF NOVEL AMPAR AND NMDAR PEPTIDE MODULATORS.
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Contrastive RNA Representation Learning Through Maximizing Mutual Information Between Splice Isoforms
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Demystify the Secret Function in Protein Sequence via Conditional Diffusion Models
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Development of A Molecular Exchange Mechanism-based Biomolecular Neural Network
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DiffPaSS – Differentiable and scalable pairing of biological sequences using soft scores
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DiffTopo: Fold exploration using coarse grained protein topology representations
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Diffusion Generative Models for Molecule Optimization
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Dirichlet Flow Matching with Applications to DNA Sequence Design
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Diverse Hits in de Novo Molecule Design: A Diversity-based Comparison of Goal-directed Generators
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DNA-Diffusion: Leveraging Generative Models for Controlling Chromatin Accessibility and Gene Expression via Synthetic Regulatory Elements
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DyMol: Dynamic Many-Objective Molecular Optimization with Objective Decomposition and Progressive Optimization
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Epitope-specific antibody design using diffusion models on the latent space of ESM embeddings
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Equivariant amortized inference of poses for cryo-EM
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Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules
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Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing
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Evolution Guided Generative Flow Networks
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Evolution-Inspired Loss Functions for Protein Representation Learning
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EvoSBDD: Latent Evolution for Accurate and Efficient Structure-Based Drug Design
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F$^3$low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching
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Few-Shot prediction of the experimental functional measurements for proteins with single point mutations
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Fine-tuning Pocket-conditioned 3D Molecule Generation via Reinforcement Learning
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Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations
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Future-proof vaccine design with a generative model of antibody cross-reactivity
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Generative Active Learning for the Search of Small-molecule Protein Binders
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Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
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Generative Humanization for Therapeutic Antibodies
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GeoDirDock: Guiding Docking Along Geodesic Paths
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Graph-Based Forward Synthesis Prediction of Biocatalyzed Reactions
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Green fluorescent protein engineering with a biophysics-based protein language model
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How to Go With the Flow: an Analysis of Flow Matching Molecular Docking Performance With Priors of Varying Information Content
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How well do generative protein models generate?
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Improved motif-scaffolding with SE(3) flow matching
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Low N, High N Protein Engineering
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Machine learning of force fields towards molecular dynamics simulations of proteins at DFT accuracy
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Model-based reinforcement learning for protein backbone design
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Multi-objective generative AI for designing novel brain-targeting small molecules
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On Recovering Higher-order Interactions from Protein Language Models
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Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders
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p-IgGen: A Paired Antibody Generative Language Model
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Pairing interacting protein sequences using masked language modeling
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PepMLM: Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling
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Physics-informed geometric regularization of heterogeneous reconstructions in cryo-EM
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PPI-Llama2: De Novo Generation of Binding Proteins Conditioned On Target Sequence Alone
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Preference optimization of protein language models as a multi-objective binder design paradigm
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PROflow: An iterative refinement model for PROTAC-induced structure prediction
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Programmable Protein Stabilization with Language Model-Derived Peptide Guides
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Protein binding affinity prediction under multiple substitutions applying eGNNs on residue and atomic graphs combined with language model information: eGRAL
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PROTEIN FITNESS LANDSCAPE NAVIGATION IS BOOSTED VIA INCORPORATING EVOLUTIONARY INFORMATION INTO MACHINE LEARNING MODELS
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Protein language models are biased by unequal sequence sampling across the tree of life
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Re-evaluating Retrosynthesis Algorithms with Syntheseus
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RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
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Revealing data leakage in protein interaction benchmarks
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RNA-Protein Interaction Classification via Sequence Embeddings
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RNAFlow: RNA Structure & Sequence Co-Design via Inverse Folding-Based Flow Matching
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Structure-Informed Protein Language Model
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SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways
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The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
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Towards DNA-Encoded Library Generation with GFlowNets
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Towards Generative RNA Design with Tertiary Interactions
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Towards Structure-based Drug Design with Protein Flexibility
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Unveiling the Entangled Landscape of Artificial Knotted Proteins