NeurIPS 2024PastLarge language modelsAI for science
Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges
Neurips 2024 Workshop FM4Science
- Submission deadline
- Sep 14, 2024, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (68)
Fetched from OpenReview (v2) on 2026-06-10.
A Biosafety-aware Framework for Generative Enzyme Design with Foundation Models
A COMPARATIVE STUDY OF NEURAL ODE AND UNIVERSAL ODE MODELS IN SOLVING CHANDRASEKHAR’S WHITE DWARF EQUATION.
A Foundation Model for Metagenomic Sequences
A Large Encoder-Decoder Polymer-Based Foundation Model
A Mamba-Based Foundation Model for Chemistry
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing
Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream Tasks
Assessing interaction recovery of predicted protein-ligand poses
AtmosArena: Benchmarking Foundation Models for Atmospheric Sciences
BarcodeMamba: State Space Models for Biodiversity Analysis
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
BiRNA-BERT: Adaptive Tokenization for Efficient RNA Language Modeling
Bridging biomolecular modalities for knowledge transfer in bio-language models
Can we pre-train ICL-based SFMs for the zero-shot inference of the 1D CDR problem with noisy data?
Cell ontology guided transcriptome foundation model
ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary
ChemDFM: A Large Language Foundation Model for Chemistry
CLOUD: A Scalable Scientific Foundation Model for Crystal Representation Learning
Contextualizing biological perturbation experiments through language
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators
Developing a Foundation Model for Predicting Material Failure
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
Enhancing Detail Recovery in ICF Radiographs: A Transformer-based Approach with ViXReg
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
Generating and Validating Agent and Environment Code for Simulating Realistic Personality Profiles with Large Language Models
Generative Models in Protein Engineering: A Comprehensive Survey
GFlowNet Pretraining with Inexpensive Rewards
IgBlend: Unifying 3D Structure and Sequence for Antibody LLMs
Improving generalisability of 3D binding affinity models in low data regimes
Is Tokenization Needed for Masked Particle Modelling?
Language Models for Text-guided Protein Evolution
Learning temperature-aware representations from millions of annotated protein sequences
Leveraging foundation models for data-limited ecological applications
LLM Agent for Fire Dynamics Simulations
MAMORX: Multi-agent Multi-Modal Scientific Review Generation with External Knowledge
Maven: A Multimodal Foundation Model for Supernova Science
Metalic: Meta-Learning In-Context with Protein Language Models
Molphenix: A Multimodal Foundation Model for PhenoMolecular Retrieval
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations
OPI: An Open Instruction Dataset for Adapting Large Language Models to Protein-Related Tasks
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
ProtDiff: Function-Conditioned Masked Diffusion Models for Robust Directed Protein Generation
Provable in-context learning of linear systems and linear elliptic PDEs with transformers
Pulsar Candidate Classification with Multimodal Large Language Models
Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
Scale-consistent learning with neural operators
SciDFM: A Large Language Model with Mixture-of-Experts for Science
Scientific Knowledge Graph and Ontology Generation using Open Large Language Models
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
SeisLM: a Foundation Model for Seismic Waveforms
Self-supervised Multimodal Model for Astronomy
Small Molecule Optimization with Large Language Models
Solaris: A Foundation Model of the Sun
Solving Out-of-Distribution Challenges in Optical Foundation Models using Self-Improving Data Augmentation
Specialized Foundation Models Struggle to Beat Supervised Baselines
SpectraFM: Tuning into Stellar Foundation Models
Stylish and Functional: Guided Interpolation Subject to Physical Constraints
Survey: Adaptive Physics-informed Neural Networks
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Towards Interpretable Scientific Foundation Models: Sparse Autoencoders for Disentangling Dense Embeddings of Scientific Concepts
Uncertainty and Generalizability in Foundation Models for Earth Observation
Understanding Drought through Spatial-Temporal Learning
Understanding Protein-DNA Interactions by Paying Attention to Protein and Genomics Foundation Models
Vision foundation models: can they be applied to astrophysics data?
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
VSMNO: Solving PDE by Utilizing Spectral Patterns of Different Neural Operators
Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery