Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling
Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
Sparse Estimation of Dynamical System Based on Hamiltonian Mechanics
Neural Architecture Codesign for Fast Bragg Peak Analysis
Vertical AI-driven Scientific Discovery
Open-Source Fermionic Neural Network With Ionic Charge Initialization
Generative AI for Co-Crystal Design with Property Control
Some of our presenters couldn’t attend the workshop in person. They kindly sent us a video or poster presentation of their work. Please find them listed with Video Link or Poster Link in front of the corresponding paper below.
Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing | Video Link
Bayesian Transfer Learning of Neural Network-Based Interatomic Force Models
Pilot Experimentation for Safe Exploration and Side-Effects Avoidance
Fashion Chatroom: An Automated Pipeline for Fashion Dataset Construction
Acceleron: A Tool to Accelerate Research Ideation
A Bimodal Convolutional Autoencoder for Seed Purity Testing
Position Paper on Materials Design – A Modern Approach
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science | Poster Link
BirdNET-Annotator: AI-Assisted Strong Labelling of Bird Sound Datasets
Leveraging Sound Collections for Animal Species Classification with Weakly Supervised Learning
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
Pre-training of Molecular GNNs as Conditional Boltzmann Generator
AI-Enhanced Molecular Design in the Quantum Realm: Prospects, Perspectives, and Challenges
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions
Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble | Poster Link
PatchFlow: Leveraging a Flow-Based Model with Patch Features