Lab Notebook

Notes

• 📄 Todo Summary

Sub-Notebooks

• 📂 2026 - April
• 📄 30/04/2026 6:18 PM
• 📄 30/04/2026 3:36 PM - Amber CQE Prep
• 📄 30/04/2026 9:35 AM - SNU Presentation
• 📄 30/04/2026 8:47 AM - One-on-one
• 📄 29/04/2026 8:57 PM - Presentation
• 📄 29/04/2026 2:00 PM - CQE Practice Sessions
• 📄 27/04/2026 1:16 PM - MoT Stuff
• 📄 23/04/2026 3:53 PM - MoT Stuff
• 📄 21/04/2026 3:22 PM - Fellowship actions
• 📄 21/04/2026 3:22 PM - VIGIL Projection Meeting
• 📄 20/04/2026 10:09 AM
• 📄 17/04/2026 12:45 PM - ReID More explantation
• 📄 16/04/2026 8:05 AM - SNU presentation prep
• 📄 15/04/2026 3:03 PM - Convo with Wei
• 📄 15/04/2026 2:49 PM - Convo with Andy about DS
• 📄 14/04/2026 10:30 AM
• 📄 09/04/2026 1:49 PM
• 📄 08/04/2026 1:13 PM
• 📄 ReID Pipeline
• 📂 2026 - March
• 📄 23/03/2026 11:24 AM
• 📄 20/03/2026 12:09 PM
• 📄 18/03/2026 2:13 PM - Vikas Talk
• 📄 17/03/2026 9:24 AM
• 📄 16/03/2026 9:13 AM
• 📄 12/03/2026 9:26 PM - Paper Review
• 📄 12/03/2026 1:30 PM - Lab Meeting
• 📄 12/03/2026 12:30 PM
• 📄 12/03/2026 9:41 AM - SNU Meeting
• 📄 11/03/2026 6:53 PM - SNU Presentation Prep
• 📄 11/03/2026 4:00 PM - Sebastian
• 📄 11/03/2026 12:22 AM - One on one
• 📄 09/03/2026 12:51 PM
• 📄 06/03/2026 21:29
• 📄 04/03/2026 3:55 PM
• 📂 2026 - February
• 📄 26/02/2026 10:12 AM - Presentation Prep
• 📄 26/02/2026 12:05 AM
• 📄 25/02/2026 1:23 PM - One-on-one
• 📄 25/02/2026 12:59 PM
• 📄 19/02/2026 10:28 AM - SURE Applicants
• 📄 18/02/2026 8:39 PM
• 📄 18/02/2026 1:15 PM - SNU Meeting
• 📄 18/02/2026 10:11 AM - One-on-one
• 📄 17/02/2026 11:12
• 📄 16/02/2026 10:45 AM
• 📄 13/02/2026 2:52 PM
• 📄 12/02/2026 8:03 PM
• 📄 09/02/2026 10:12 AM
• 📄 08/02/2026 9:37 PM
• 📄 07/02/2026 11:23 AM
• 📄 06/02/2026 10:52 PM
• 📄 05/02/2026 1:45 PM
• 📄 05/02/2026 8:21 AM
• 📄 04/02/2026 5:33 PM - SNU Meeting Prep
• 📄 04/02/2026 9:14 AM
• 📄 03/02/2026 7:19 PM
• 📄 02/02/2026 10:20 AM
• 📂 2026 - January
• 📄 28/01/2026 10:48 AM
• 📄 20/01/2026 3:20 PM - One-on-one prep
• 📄 20/01/2026 10:13 AM
• 📄 15/01/2026 11:43 AM
• 📂 2025 - December
• 📄 Dec 26, 2025
• 📂 Ideas
• 📄 "strategy conditioned policy" which is kinda similar to a goal conditioned polic
• 📄 Bean's Bot
• 📄 Can we quality skills versus decisions
• 📄 Deep Time Series Embedding Compression
• 📄 Disentangled Representation Learning
• 📄 Efficient Learned Tool Triggers
• 📄 Geocache app
• 📄 How to compare types of clarifying questions?
• 📄 Inder/defer token
• 📄 Intentionally answering questions wrong
• 📄 Learn to create ambiguity using an adversarial cycle system
• 📄 LLM Assistant
• 📄 Neural Manifolds
• 📄 Singular value regularization
• 📄 Textual diffusion through repeated summarization
• 📂 Lab Meetings
• 📄 19/03/2026 8:58 AM - NECV workshop
• 📄 19/02/2026 1:50 PM
• 📄 19/02/2026 8:03 AM - SNU
• 📄 22/01/2026 2:09 PM - Lab Meeting
• 📄 22/01/2026 8:00 AM - SK Team
• 📄 20/01/2026 10:11 AM - SK Presentation Prep
• 📄 15/01/2026 2:00 PM
• 📄 12/01/2026 10:02 AM PACES
• 📄 08/01/2026 2:13 PM
• 📂 Reading List
• 📄 A Survey on LLM-as-a-Judge
• 📄 Acknowledging Focus Ambiguity in Visual Questions
• 📄 AQUA: Toward Strategic Response Generation for Ambiguous Visual Questions
• 📄 Bayesian teaching enables probabilistic reasoning in large language models
• 📄 CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
• 📄 Decision Tree Policy Optimization
• 📄 Diversity is all you need
• 📄 Evolution Strategies at the Hyperscale
• 📄 Game-Theoretic Lens on LLM-based Multi-Agent Systems
• 📄 Linguistic structure from a bottleneck on sequential information processing
• 📄 Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding
• 📄 Recursive Langauge Models
• 📄 RL In Name Only
• 📄 SimpleStrat: Diversifying Language Model Generation with Stratification
• 📄 TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Tr
• 📄 TreeRPO: TREE RELATIVE POLICY OPTIMIZATION
• 📄 Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models