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Workshop
Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics
Nicholas Ho · John Kevin Cava · John Vant · Ankita Shukla · Jacob Miratsky · Pavan Turaga · Ross Maciejewski · Abhishek Singharoy
Workshop
Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano Particles in a contaminated aquifer
Shikhar Nilabh
Workshop
Automated Dynamics Curriculums for Deep Reinforcement Learning
Sean Metzger
Poster
Wed 14:00 AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari
Workshop
Predicting electrolyte solution properties by combining neural network accelerated molecular dynamics and continuum solvent theory.
Timothy T Duignan · Junji Zhang · Joshua Pagotto
Poster
Thu 9:00 TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Klim Zaporojets · Lucie-Aimée Kaffee · Johannes Deleu · Thomas Demeester · Chris Develder · Isabelle Augenstein
Poster
Wed 9:00 Towards Better Evaluation for Dynamic Link Prediction
Farimah Poursafaei · Shenyang Huang · Kellin Pelrine · Reihaneh Rabbany
Poster
Tue 9:00 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus · José Pombal · Duarte Alves · André Cruz · Pedro Saleiro · Rita Ribeiro · João Gama · Pedro Bizarro
Poster
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
Xuanwen Huang · Yang Yang · Yang Wang · Chunping Wang · Zhisheng Zhang · Jiarong Xu · Lei Chen · Michalis Vazirgiannis
Poster
Tue 14:00 Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
Abishek Thangamuthu · Gunjan Kumar · Suresh Bishnoi · Ravinder Bhattoo · N M Anoop Krishnan · Sayan Ranu