Rao's Talks & Interviews

Yochan-Defense-Talks

ACDL Summer School Lectures on Planning/Reasoning Abilities of LLMs/LRMs

CSE574 Fall 2024 (Planning & Learning Methods in AI) ASU Course

laapata-full

lapata ladies

AAAI 2024 LLM Planning Tutorial

On the Role of Large Language Models in Planning (ICAPS 2023 Tutorial)

CSE574 Planning & Learning (Fall 2022 ASU)

CSE571 Artificial Intelligence (Grad) Fall 2010

Intro to AI (ASU CSE471 Honors Section; Fall 2021)

DeepFakes & Societal Impacts (An interview done for a documentary project)

Yochan-ICAPS-2021

HON294: Invitation to AI

AAAI20-HAAI-Tutorial-Intro-rao

AAAI20-HAAI-Tutorial

cse471-f19-week16.2-naive-bayes-classifier-topology-learning-incomplete-data-and-EM-plus-tearful-goodbye

cse471-f19-week16.1-from-bayesian-learning-to-MAP-to-MLE-and-MLE-learning-of-Bayes-Net-Params

cse471-f19-week15.1-bayes-net-conditional-inde-specification-inference-methods

cse471-f19-week14.1-all-your-bayes-belong-to-us-bayes-nets-syntax-semantics-factors

cse471-f19-week13.2-from-prop-logic-via-non-mon-logic-certainty-factors-fuzzy-logic-to-prob-prop-logic-and-bayes-nets

cse471-f19-week13.1-STRIPS-PDDL-Planning-progression-regression-plan-space-heusirstics

cse471-f19-week12.2-search-in-theorem-proving-satisfiability-and-propositional-planning

cse471-f19-week12.1-logics-model-vs-proof-theoretic-entailment-bolean-satisfiability

cse471-f19-week11.2-batchnorm-regularization-dropout-convnets

cse471-f19-week11.1-theory-of-generalization-and-its-connection-to-neural-nets

cse471-f19-week10.2-multi-layer-neural-nets-and-back-propagation

cse471-f19-week10.1-from-perceptrons--via-kernel-mc-to-multi-layer-networks

CSE471-Tensorflow-demos