← Interdisciplinary
Interdisciplinary ›

Science

29 directly classified papers

Subtopics

Neuroscience (339) Bioinformatics (239) Digital Humanities (196) Quantum Computing (128)

Papers per year

Papers

Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning ACL 2025
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling ICCV 2025
FlavorDiffusion: Modeling Food-Chemical Interactions with Diffusion NAACL 2025
MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction EMNLP 2025
A Theory of Joint Light and Heat Transport for Lambertian Scenes CVPR 2024
A Diffusion-Based Pre-training Framework for Crystal Property Prediction AAAI 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024
OceanGPT: A Large Language Model for Ocean Science Tasks ACL 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations NIPS 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NIPS 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces CVPR 2024
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model NIPS 2024
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023
Analyzing Physical Impacts Using Transient Surface Wave Imaging CVPR 2023
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction EMNLP 2023
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation ICML 2022
A Synthetic Prediction Market for Estimating Confidence in Published Work AAAI 2022
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems L4DC 2021
Searching for Higgs Boson Decay Modes with Deep Learning NIPS 2014