Media Summary: In this AI Research Roundup episode, Alex discusses the paper: ' LeRobot Research Presentation Presented by Cheng Chi in April 2024 This week: Diffusion Policy ... Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do ...

Repa Representation Alignment For Generation - Detailed Analysis & Overview

In this AI Research Roundup episode, Alex discusses the paper: ' LeRobot Research Presentation Presented by Cheng Chi in April 2024 This week: Diffusion Policy ... Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do ... In this AI Research Roundup episode, Alex discusses the paper: 'What matters for This video covers the Vision Transformer (ViT), Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT). This is ... Positional information is critical in transformers' understanding of sequences and their ability to generalize beyond training context ...

For more information about Stanford's online Artificial Intelligence programs visit: To learn more about ... What happens when diffusion models start learning to think in rewards, scores, and Gibbs corrections? In this episode, we dive ...

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REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...
REPA: DiTs Just Got Easier!
REPA-E: Unlocking VAE for End-to-End Tuning (Apr 2025)
REPA
Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi
Alignment faking in large language models
iREPA: Better Image Generation via Spatial Alignment
Diffusion Transformers with Representation Autoencoders VAE  (e.g., DINO, SigLIP, MAE) with (RAEs)
Diffusion Transformers (ViT, DiT, MMDiT)
How Rotary Position Embedding Supercharges Modern LLMs [RoPE]
What matters for Representation Alignment: Global Information or Spatial Structure? (Dec 2025)
Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 15: Alignment - SFT/RLHF
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REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...

REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ...

REPA

REPA: DiTs Just Got Easier!

REPA: DiTs Just Got Easier!

In this AI Research Roundup episode, Alex discusses the paper: '

REPA-E: Unlocking VAE for End-to-End Tuning (Apr 2025)

REPA-E: Unlocking VAE for End-to-End Tuning (Apr 2025)

Title:

REPA

REPA

Representation Alignment for Generation

Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi

Diffusion Policy: LeRobot Research Presentation #2 by Cheng Chi

LeRobot Research Presentation #2 Presented by Cheng Chi in April 2024 https://cheng-chi.github.io This week: Diffusion Policy ...

Alignment faking in large language models

Alignment faking in large language models

Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do ...

iREPA: Better Image Generation via Spatial Alignment

iREPA: Better Image Generation via Spatial Alignment

In this AI Research Roundup episode, Alex discusses the paper: 'What matters for

Diffusion Transformers with Representation Autoencoders VAE  (e.g., DINO, SigLIP, MAE) with (RAEs)

Diffusion Transformers with Representation Autoencoders VAE (e.g., DINO, SigLIP, MAE) with (RAEs)

Diffusion Transformers with

Diffusion Transformers (ViT, DiT, MMDiT)

Diffusion Transformers (ViT, DiT, MMDiT)

This video covers the Vision Transformer (ViT), Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT). This is ...

How Rotary Position Embedding Supercharges Modern LLMs [RoPE]

How Rotary Position Embedding Supercharges Modern LLMs [RoPE]

Positional information is critical in transformers' understanding of sequences and their ability to generalize beyond training context ...

What matters for Representation Alignment: Global Information or Spatial Structure? (Dec 2025)

What matters for Representation Alignment: Global Information or Spatial Structure? (Dec 2025)

Title: What matters for

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 15: Alignment - SFT/RLHF

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 15: Alignment - SFT/RLHF

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about ...

Discrete Diffusion Alignment: Reward-Tilted Sampling, Gibbs Correctors, and Few-Step Control

Discrete Diffusion Alignment: Reward-Tilted Sampling, Gibbs Correctors, and Few-Step Control

What happens when diffusion models start learning to think in rewards, scores, and Gibbs corrections? In this episode, we dive ...