Skip to yearly menu bar Skip to main content


Education Track Tue, Dec 8, 2026 • 2:30 AM – 10:30 AM AEDT Room C3.4-C3.5

Education Track

Ulrich Paquet ⋅ Daniela Massiceti ⋅ Noam Koenigstein

Abstract

Chat is not available.

Schedule

Time zone: Conference local time zone
8:40 AM
KEYNOTE [Rachel Thomas]
Rachel Thomas
10:05 AM
What Fine-Tuning Costs: A Measured Comparison of Full Fine-Tuning, LoRA, and QLoRA
Chandra Prakash Bathula ⋅ Ram Mohan Bathula
11:00 AM
How Much Should an AI Think? An Interactive Introduction to Adaptive Test-Time Compute
Mahveen Raza ⋅ Shaina Raza ⋅ Syed Raza Bashir
11:00 AM
Trustworthy AI in the Age of LLMs: Definition, Dimensions, and Assessment
Hengyu Liu ⋅ Hua Shen ⋅ Hanxun Huang ⋅ Zhihong Cui ⋅ Qinyi Liu ⋅ Yingzhe LI
11:00 AM
Speculative Decoding Tutorial
Rachel Thomas
11:00 AM
Synthetic Environments for Agent Evaluation
Grace Gong ⋅ Shrey shah ⋅ Swapnil Ashtekar
11:00 AM
What Fine-Tuning Costs: A Measured Comparison of Full Fine-Tuning, LoRA, and QLoRA
Chandra Prakash Bathula ⋅ Ram Mohan Bathula
11:00 AM
Table as Prompt: An Interactive Guide to Tabular Foundation Models
Jiarui Xu ⋅ Tianming Zhou ⋅ Tommy Tai ⋅ Joshua Pan ⋅ Alexander Statnikov ⋅ Nitesh Kumar
11:00 AM
Where Did My Context Go? Teaching Tool-Routing Topologies for MCP-Based Coding Agents
Dhaval Patel ⋅ Chathurangi Shyalika ⋅ Shuxin Lin ⋅ Miaomiao Feng
11:00 AM
Feature Absorption: Why a Clean-Looking Sparse-Autoencoder Latent Is an Unreliable Classifier
Toky I RAJAOFERA ⋅ Maharavosoaniaina M RAKOTONIRAINY
11:00 AM
MiniDog: Dog-Breed Text-to-Image Flow Matching, from Pretraining to Fine-Tuning, on 4 Consumer GPUs
Reyhaneh Esmailizadeh ⋅ Xingjian Leng ⋅ Zhanhao Liang ⋅ Liang Zheng
11:00 AM
Interpreting Vision Transformers Through Attention Analysis and Layer-Wise Probing
Juan Manuel Hernandez ⋅ Mariana Fernandez-Espinosa ⋅ Oscar Loch ⋅ Denis Parra ⋅ Diego Gomez-Zara
11:00 AM
Active Inference for Autonomous Decision-Making: A Practical Introduction
Aswin Paul ⋅ Ifrah Saeed ⋅ Adeel Razi
1:10 PM
KEYNOTE [Ben Leong]
Ben Leong
2:15 PM
Flow Matching Tutorial for Robot Policies
Lisa Dlima ⋅ Erik Gaasedelen
2:45 PM
GFlowNet Playground
Florian Holeczek ⋅ Alexander Hillisch ⋅ Andreas Hinterreiter ⋅ Alex Hernandez-Garcia ⋅ Marc Streit ⋅ Christina Humer
3:00 PM
Adaptive Adversarial Evaluation: A Search--Freeze--Replay Tutorial
Rahul Gupta ⋅ Swastik Roy ⋅ Anjali Narayan-Chen ⋅ Akash Bhatia ⋅ Rosa Català ⋅ Michael OHerlihy ⋅ Venkatesh Saligrama
3:00 PM
Can a model think VISUALLY?
Jaeyong Ko ⋅ Eunseo Kim ⋅ Doehyeon Lee
3:00 PM
Flow Matching Tutorial for Robot Policies
Lisa Dlima ⋅ Erik Gaasedelen
3:00 PM
Gradient Descent: An Educational Roguelike for Learning Neural Network Training
Hamza Hanif ⋅ sumra khan ⋅ Muhammad Bilal Khan ⋅ Inam u Rehman ⋅ Rizwan Qureshi ⋅ Basim Azam
3:00 PM
Current Frontiers of Diffusion LLMs
Erik Gaasedelen ⋅ Lisa Dlima
3:00 PM
The Return of the Gate: Teaching Data-Dependent Gating from LSTMs to Gated Attention
Mujtaba Ahmad ⋅ Muhammad zain Saleem ⋅ Fahad Saleem ⋅ Anwar Shah
3:00 PM
Low-Rank Structure Is Geometry
Paul Breiding ⋅ Se-Eun Choi
3:00 PM
Graphons for Machine Learning: Theory, Estimation, and Applications
Sevvandi Kandanaarachchi ⋅ Cheng Soon Ong
3:00 PM
GFlowNet Playground
Florian Holeczek ⋅ Alexander Hillisch ⋅ Andreas Hinterreiter ⋅ Alex Hernandez-Garcia ⋅ Marc Streit ⋅ Christina Humer
3:00 PM
Language Agent Tree Search: Teaching Agents to Change Their Minds
Michael Li ⋅ Eric Bae ⋅ Tianyi Huang
3:00 PM
From Context to Continual Memory: Test-Time Memory and Nested Learning
Md Sadek Hossaiin Asjf ⋅ Tanzila Khan
3:00 PM
Neural Network’s Neurosurgery
Jiaheng Su ⋅ Miles Goodman
3:00 PM
Test-Time Compute Allocation: Search vs. Verify
Tianxiang Xie ⋅ Jingxuan Wu ⋅ Jiaying Liu ⋅ Shuo Yu