Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
Llama-3-Meditron: An Open-Source Suite of Medical LLMs Based on Llama-3.1
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
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.
Application of Neural Ordinary Differential Equations for ITER Burning Plasma Dynamics
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Improving Fine-grained Visual Understanding in VLMs through Text-Only Training
Constructing sensible baselines for Integrated Gradients | Video Link
An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions | Video Link
TireDiff: A Diffusion-based Tire Footprint Image Generation Framework for High-fidelity Prototyping | Video Link
Open source Differentiable ODE Solving Infrastructure
Open-source Polymer Generative Pipeline
Open-Source Protein Language Models for Function Prediction and Protein Design
Accelerating Manufacturing Prototyping: A Continual Learning Approach for Imbalanced Sequential Image Generation | Video Link
NeuroSteiner: A Graph Transformer for Wirelength Estimation
Uncertainty separation via ensemble quantile regression Video Link
CircleSeg-XAI Segmentation-Based Target Point Detection Method Using Circular Shape Label
Are Large Language Models the Best Estimators of Chemical Reaction Yields?
ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
Projective Operator-based Explanations for Multi-Output Prediction Models in Semiconductor Industry
Advancing Distribution System Restoration via an Innovative Physics-Informed Decision Transformer
A Metric for the Balance of Information in Graph Learning
M-MOFormer: Multi-Modal Transformer Framework for Metal-Organic Framework Property Prediction
The influence of Initial Connectivity on Biologically Plausible Learning
DDD: Discriminative Difficulty Distance for plant disease diagnosis
CRISP-DM 2.0 for the Semiconductor Industry and Other Complex Domains
A Deep Learning-Based Tool for Detection and Counting of Chloroplasts in Single-Cell Images
Lattice Protein Folding with Variational Annealing
An Uncertainty-Aware Data-Driven Predictive Controller for Hybrid Power Plants
Novel Interpretable Amino Acid Property-Based Peptide Embeddings for Improved Activity Prediction
Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities
Uncertainty Analysis in Predicting Molecular Properties Using Chemical Foundation Models
Bridging Particle Physics and AI with the ATHANOR Pipeline
On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling
Effective Defect Detection Using Instance Segmentation for NDI
Uncertainty Quantification Using Graph-based Conformal Prediction for Mesh-based Simulation
Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
Deep Reinforcement Learning for De novo Synthesis of Eye Drops
InceptionSR: Recursive Symbolic Regression for Equation Synthesis
Everyone attending #AAAI25 is invited for our 4th AAAI @RealAAAI workshop on AI to Accelerate Science and Engineering on Monday, March 3rd. The workshop location is Room 121B. We have an exciting schedule thanks to all the authors presenting their work and our invited speakers.
I will present our paper “Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning”, led in the main conference poster session track 3 during 12:30 PM to 2:15 PM on Saturday, March 1st. Location or Poster Session 3: Exhibit Hall E.
I will also give a talk at AAI New Faculty Highlights program on “Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design” in Room 121 B at 9:30 AM on Saturday, March 1st.