Pablo Rivas @_rivas_ai
AI ethicist, ML, CV, & NLP nerd, deep learning evangelist. Asst. Prof. of Computer Science at @Baylor. All opinions are my own. 🟦 rivas.ai Waco, Texas Joined June 2010-
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⏰ Time to *register* your teams for the Cybersecurity Interdisciplinary Incident Response Competition (CIIRC) 2025 🔥: ecs.baylor.edu/get-involved/c…
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🔒 Exciting News! Join the CIIRC 2025 Cybersecurity Interdisciplinary Incident Response Competition and win over $500 in prizes. 🏆 Register your team now! Spaces are limited. Register here: ecs.baylor.edu/get-involved/c…
🔬✨ Coreset‑based pruning halves NeRF models and speeds training 35% with ≤1 dB PSNR loss! 🚀🔎 Check the study 👉 lab.rivas.ai/?p=7141 #NeRF #NeuralPruning #3DReconstruction #AI #TechInnovation #RivasAI
🚀 Near‑real‑time dust storm detection is now possible! Our 3DCNN+ model processes MODIS data in seconds, reaching 92% accuracy and 21× faster training. 🌍💨 Discover more at lab.rivas.ai/?p=7095 #DustStorm #AI #RemoteSensing #EarthScience
🚀 Our quanvolutional autoencoder speeds up training by ~15 epochs and cuts loss jitter 10‑15× on DDoS visual data! 🌐 (Rivas et al., 2024) 📖 Details: lab.rivas.ai/?p=7066 #AI #QuantumML #CyberSecurity
🔍 Dive into our latest review on multimodal AI! 📚 We examine BERT + ResNet pipelines, fusion methods & emerging challenges like noisy data and adversarial attacks (Rashid et al., 2024). 🌐 Read more 👉 lab.rivas.ai/?p=7037 #AI #Multimodal #Research #TechInsights
🔬 Our latest study derives generalization bounds for noisy quantum ML using Quantum Fisher Information. 🎯 This work links circuit noise to effective dimension, guiding more robust models. 👉 lab.rivas.ai/?p=7010 #QuantumML #QML #Research #AI
🚀 IEEE Std 7003‑2024 sets a new benchmark for bias transparency in AI! 🔍 We discuss its strengths and the need for quantitative metrics. 👉 Swipe for insights & tag your AI buddy. More details: lab.rivas.ai/?p=6993 #IEEE7003 #AlgorithmicBias #ResponsibleAI
BERT & ResNet dominate text‑image ML; attention fusion boosts results. Review: rivas.ai/pdfs/rashid202… #MultimodalML #AI
Join the Cybersecurity Interdisciplinary Incident Response Competition (CIIRC) 2025 and register your team today: ecs.baylor.edu/get-involved/c…
If you are at #AAAI come to our session! Great papers!
This #Thanksgiving, we're grateful for #ML innovations like #Transformers, #BERT, #GANs, & more. From advancing #NLP to redefining #Generative #AI, these breakthroughs are shaping AI. Explore the contributions we’re thankful for and use them responsibly: buff.ly/3OtI9QH
Check out our research on D-ReLU: a robust, adaptive upgrade to ReLU for defending AI from adversarial attacks. Huge thanks to my PhD student Korn Sooksatra, now at Meta! #ResponsibleAI #TrustworthyML Read more: buff.ly/4fC9GeP Paper: buff.ly/3UXzNVi
Optimizing Fairness and Robustness in Machine Learning Models. Keynote at #NeurIPS 2022 - #LXAI workshop. #TrustworthyAI #RobustAI #EthicalAI #SafeAI #ResponsibleAI buff.ly/4erbaah
We are hiring! 🚨 4 open positions: Cybersecurity (Clinical Prof), Software Eng. (2), & CS Dept. Chair. Apply here: ecs.baylor.edu/departments/co… Baylor is an R1 university with strong, growing CS programs and a new Cyber Range. Join us! 💻 #CSJobs #Cybersecurity #SoftwareEngineering
Pablo Rivas retweeted
💡 The paper explores the #integration of #text and #image data in #multimodalmachinelearning (MMML). It reviews how text and images complement each other, with text adding semantic meaning and images capturing visual details. 🔎 mdpi.com/2504-4990/6/3/…
🚗 Our undergraduate research team at Baylor University is leveraging Vision Transformers (ViT) to detect patterns in online car part sales that could indicate illicit activity. 👉 Read more: buff.ly/3U5s6vz #BaylorUniversity #AIResearch #MachineLearning #Cybersecurity
Noise poses significant challenges in #QML. @BikramKhanal6's paper, "Learning Robust Observable to Address Noise in QML," introduces an approach to mitigate noise by learning robust observables, enhancing QML performance in noisy environments. baylor.ai/?p=4854
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NeurIPS Conference @NeurIPSConf
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Victor Escorcia @3scorciav
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