Poster Session

Click here to watch talks from the conference.

Double Spike Dirichlet Priors for Structured Weighting
Authors: Huiming Lin and Meng Li, Department of Statistics, Rice University

Invariant Graph Neural Networks for Trajectory Prediction
Authors: Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra, Department of Electrical and Computer Engineering, Rice University

Accelerating High-Order Stencils on GPUs
Authors: Ryuichi Sai, John Mellor-Crummey,  Xiaozhu Meng, Keren Zhou, Rice University; Mauricio Araya-Polo, Jie Meng, Total E&P Research & Technology USA

GPU Accelerated Absorbing Boundary Conditions
Author: Christina Taylor, NAG Intern, Rice University

Data-Driven Model Reduction Using the Loewner Framework
Author: Alejandro Diaz, Department of Computational and Applied Mathematics, Rice University

Machine-Learned Decision Trees for Predicting Gold Nanorod Dimensions from Spectra Alone
Authors: Katsuya Shiratori, Applied Physics Program; Logan Bishop, Department of Chemistry; Behnaz Ostovar, Rashad Baiyasi, Department of ECE; Yi-yu Can, Peter Rossky, Department of Chemistry; Christy Landes, Stephan Link, Departments of Chemistry and ECE, Smalley-Curl Institute; Rice University

Deep Demixing – Reconstructing the Evolution of Epidemics using Graph Neural Networks
Authors: Gojko Futura, University of Belgrade, Serbia; Boning Li, Rice University; Ananthram Swami, US Army Research Lab; Santiago Segarra, Rice University

Molecular Order in the Flow of Liquid Crystalline Solutions of Carbon Nanotubes
Authors: Ivan R. Siqueira, Matteo Pasquali, Department of CHBE, Rice University

GPA – A GPU Performance Advisor Based on Instruction Sampling
Authors: Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John Mellor-Crummey, Rice University

Single Walled Carbon Nanotubes – Hyperbolic Dispersion and its Applications to Thermal Emitters
Authors: Bryant Jerome, Department of ECE, Rice University; Andrea Schirato, Politecnico di Milano & Istituto Italiano di Tecnologia; Alessandro Alabastri, Department of ECE, Rice University

Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs
Authors: Mohammad Taha Toghani, César A. Uribe, Department of ECE, Rice University

SOLAR – Sparse Orthogonal Learned and Random Embeddings
Authors: Tharun Medini, Rice University; Beidi Chen, Stanford University; Anshumali Shrivastava, Rice University

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