6 papers
Latent Planning via Embedding Arithmetic: A Contrastive Approach to Strategic Reasoning
Andrew Hamara, Greg Hamerly, Pablo Rivas +1
Planning in high-dimensional decision spaces is increasingly being studied through the lens of learned representations. Rather than training policies or value heads, we investigate…
Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
Landon Bragg, Nathan Dorsey, Josh Prior +4
Distributed Denial-of-Service (DDoS) attacks remain a serious threat to online infrastructure, often bypassing detection by altering traffic in subtle ways. We present a method usi…
Near Real-Time Dust Aerosol Detection with 3D Convolutional Neural Networks on MODIS Data
Caleb Gates, Patrick Moorhead, Jayden Ferguson +4
Dust storms harm health and reduce visibility; quick detection from satellites is needed. We present a near real-time system that flags dust at the pixel level using multi-band ima…
Predicting Traffic Accident Severity with Deep Neural Networks
Meghan Bibb, Pablo Rivas, Mahee Tayba
Traffic accidents can be studied to mitigate the risk of further events. Recent advances in machine learning have provided an alternative way to study data associated with traffic…
Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues
Pablo Rivas, Chelsi Chelsi, Nishit Nishit +1
Automatic conversation systems based on natural language responses are becoming ubiquitous, in part, due to major advances in computational linguistics and machine learning. The ea…
Leveraging OpenFlamingo for Multimodal Embedding Analysis of C2C Car Parts Data
Maisha Binte Rashid, Pablo Rivas
In this paper, we aim to investigate the capabilities of multimodal machine learning models, particularly the OpenFlamingo model, in processing a large-scale dataset of consumer-to…