Calendar

Part 1 - Foundations and Review

Week 1 Tuesday
Introduction to AI for scientific discovery
slides
Week 1 Thursday
Single-layer/Multi-layer Perceptron
slides, video
Week 2 Tuesday
Multi-layer Perceptron and Recurrent Neural Network
slides, video

Tutorial 01 - Function Approximation with Pytorch

Week 2 Thursday
Attention Mechanism and Transformer Neural Network
slides, video
Homework
HW 1 Release
HW 1, HW 1 solution

Part 2 - Learning Scientific Models with AI

Week 3 Tuesday
Neural Differential Equations
slides, video
Week 3 Thursday
Tutorial of Neural Differential Equations using Jax
slides, video.

Tutorial 02 - JAX API

Week 4 Tuesday
Model Discovery and Symbolic Regression
slides, video

Tutorial 03 - Neural differential equations

Week 4 Thursday
Recent Advances on Symbolic Regression
slides, video
Week 5 Tuesday
Recent Advances on Symbolic Regression - II
slides, video
Week 5 Thursday
Recent Advances on Symbolic Regression - III
slides, video
Week 6 Tuesday
Student paper presentation
slides, video
Week 6 Thursday
Student paper presentation
slides, video
Week 7 Tuesday
Student paper presentation
slides, video
Week 7 Thursday
Student paper presentation
slides, video
Midterm Project Proposal
Midterm Proposal Release
Latex template for proposal
Week 8 Tuesday
Paper reading session on neuro-symbolic AI
slides, video
Week 8 Thursday
Paper reading session on LLM reasoning and Neuro Symbolic AI
slides, video

Part 3 - Invited Talks and Project Presentation

Week 10 Tuesday
Student paper presentation: NeruoSymbolic AI for Math.
slides
Week 10 Thursday
Invited Talk: Dr. Fei Xu
video, slides
Week 11 Tuesday
Student paper presentation: .
slides
Week 11 Thursday
Machine Learning with Automated Reasoning.
slides, Daily Arxiv Tool
Final Project
Final Project Report Release
Latex template for final report
Week 12 Tuesday
Paper presentation
Week 12 Thursday
Invited Talk: Dr. Md Masudur Rahman: AI for Burn analysis
Week 13 Tuesday
Paper presentation
Week 13 Thursday
Invited Talk: Dr. Md Ziyi Wang: Large language model compression via Sparse Quantized Sub-distributions.
Week 14 Tuesday
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma.
Week 14 Thursday
Thanksgiving Day (No Lecture)
Week 15 Tuesday
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma.
Week 15 Thursday
Invited Talk: Dr. Luoping Wang