Join the meeting now
+1 505-373-1510,,486578405# United States, Albuquerque
Join the meeting now
+1 505-373-1510,,969844935# United States, Albuquerque
Join the meeting now
+1 505-373-1510,,877929334#United States, Albuquerque
Join the meeting now
+1 505-373-1510,,308241642# United States, Albuquerque
Join the meeting now
+1 505-373-1510,,41361731# United States, Albuquerque
Track 1: Topic - Trusted AI |
Time (MST) |
Title |
Speaker |
Media/Materials |
9:10 am |
Keynote: You Should Give a Tutorial |
Sarah Ackerman (SNL) |
SAND2024-11426V Video
SAND2024-11279C PPTX |
9:50 am |
Trust Maturity Model for AI Systems |
Scott Steinmetz (SNL) |
SAND2024-10909O Video
SAND2024-09809C
PPTX |
11:20 am |
MADmax: Multi-Agent Trust Dynamics and Influence Maximization |
Asael H. Sorensen (SNL) |
SAND2024-10692V Video
SAND2024-10202PE
PDF |
11:40 am |
Zig Zag Persistence as a Measure of Topology Preservation in Temporal Link Prediction |
Marco Campos (SNL) |
SAND2024-11759C Video |
1:00 pm |
Keynote: Adjusting for Spatial Correlation in Machine and Deep Learning |
Matt Heaton (BYU) |
Video |
PPTX |
1:40 pm |
HaMLET: Human and Machine Learning Effective Teaming |
Kyra Wisniewski (SNL) |
SAND2024-10160V Video
SAND2024-09811C
PPTX |
2:05 pm |
Graph attention embeddings as a causal lens in temporal link prediction |
Sarah Simpson (SNL) |
SAND2024-10212C Video
SAND2024-09855C
Video |
2:30 pm |
Trusted AI Lightning Talks from Sandia's LDRD Research Programs |
Various Speakers (SNL):
1- David Stracuzzi |
2- Mike Smith |
3-Jeremy Wendt |
4 - John Jakeman |
5- Kyle Neal |
6- Carlos Llosa |
7- Alexander Outkin |
8- Kyra Wisniewski | |
SAND2024-11496V Video1: Defining Trusted AI
SAND2024-11468V Video2: Trustworthiness
SAND2024-11329C Video3: Distance Learning
SAND2024-11656V Video4: CERTANN
SAND2024-11076C Video5: Datadriven Closure Models
SAND2024-10879V Video6: Tensor Decompositions
SAND2024-11950C Video7: Information&PrivacyLoss
SAND2024-10849V Video8: Model Trust in AI |
Track 2: Topics - Tools, Processing, and Pipelines for Machine Learning |
Time (MST) |
Title |
Speaker |
Media/Materials |
9:10 am |
Keynote: You Should Give a Tutorial |
Sarah Ackerman (SNL) |
SAND2024-11426V Video
SAND2024-11279C PPTX |
9:50 am |
Designing Large Datasets: Data-Scarce and Stable Deep Generative Models for Turning Sparse Experiments into Big Datasets in Materials Science |
Andreas E. Robertson (SNL) |
SAND2024-09804O Video
SAND2024-09646C PPTX |
10:40 am |
Artificial Intelligence for Microelectronics Security and Trust |
Prabuddha Chakraborty (UMaine) |
Video |
PDF |
11:20 am |
Arbitrary Autoencoder Injection for Interpretability Experimentation |
Michael Xi (SNL) |
SAND2024-11205C Video |
11:40 am |
MatFold: cross-validation protocols to systematically evaluate OOD performance in materials discovery models |
Matthew Witman (SNL) |
SAND2024-10214C Video |
PPTX |
1:00 pm |
Keynote: Adjusting for Spatial Correlation in Machine and Deep Learning |
Matt Heaton (BYU) |
Video |
PPTX |
1:40 pm |
CrossSim: Sandia's simulator for analog AI accelerators |
Patrick Xiao (SNL) |
SAND2024-10513O Video |
2:05 pm |
Mixed CNN-Attention Machine Learning Model for Predicting Gene Regulatory Relationships Across Fungal Species Towards Developing Computational Methods for Defending Against Emerging Pathogenic Fungi |
Laura Weinstock (SNL) |
SAND2024-10546V Video
SAND2024-10235PE PPTX |
2:30 pm |
Simplifying ML Pipeline Deployment for the Scientific Community in Different Computing Environments: An Integrated Approach with Clowder, Ray and HuggingFace |
Vismayak Mohanarajan (National Center for Supercomputing Applications) |
Video |
|
Track 1: Trusted AI Lightning Talks from Sandia's LDRD Research Programs |
Various Speakers (SNL) |
|
Day 4: Schedule
Schedule Home