Next Forcing Causal World Modeling

Media Summary: Elias Bareinboim, Columbia University, Invited Talk, NeurIPS'25 Embodied Can artificial intelligence truly understand cause and effect, or is it just predicting the Can AI truly understand cause and effect? In this episode of *SciPulse,* we dive into a groundbreaking research paper: ...

Next Forcing Causal World Modeling - Detailed Analysis & Overview

Elias Bareinboim, Columbia University, Invited Talk, NeurIPS'25 Embodied Can artificial intelligence truly understand cause and effect, or is it just predicting the Can AI truly understand cause and effect? In this episode of *SciPulse,* we dive into a groundbreaking research paper: ... 2026 - Day 2 - Analytics & Data Sci] Most AI/ML systems in production rely on predictive Peter presents Robust Agents Learn Causal World Models Our keynote speaker Thomas Kipf (Google Deepmind) discussed object-centric representation learning! Do objects need a ...

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Next Forcing: Causal World Modeling with Multi-Chunk Prediction (Jun 2026)

Towards Causal AI (NeurIPS Embodied World Models for Decision Making)

Causal World Modeling for Robot Control (Jan 2026)

Cracking the Causal Code: How Causal-JEPA Masters World Models through "What-If" Logic"

Beyond Pixels: How Causal-JEPA Learns World Models through Object-Level "What-Ifs

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

From Prediction to Uplift: Causal Modeling for Better Decisions

World Models explained in 10min..

World Models | The Next Frontier Beyond Large Language Models

ICANN 2025 - Causal Representations, World Models and Digital Twins - Bernhard Schölkopf

Peter presents Robust Agents Learn Causal World Models

Causal Models: How People Think about the World and Its Alternatives

View Detailed Profile

Next Forcing: Causal World Modeling with Multi-Chunk Prediction (Jun 2026)

Next Forcing: Causal World Modeling with Multi-Chunk Prediction (Jun 2026)

Title:

Towards Causal AI (NeurIPS Embodied World Models for Decision Making)

Towards Causal AI (NeurIPS Embodied World Models for Decision Making)

Elias Bareinboim, Columbia University, Invited Talk, NeurIPS'25 Embodied

Causal World Modeling for Robot Control (Jan 2026)

Causal World Modeling for Robot Control (Jan 2026)

Title:

Cracking the Causal Code: How Causal-JEPA Masters World Models through "What-If" Logic"

Cracking the Causal Code: How Causal-JEPA Masters World Models through "What-If" Logic"

Can artificial intelligence truly understand cause and effect, or is it just predicting the

Beyond Pixels: How Causal-JEPA Learns World Models through Object-Level "What-Ifs

Beyond Pixels: How Causal-JEPA Learns World Models through Object-Level "What-Ifs

Can AI truly understand cause and effect? In this episode of *SciPulse,* we dive into a groundbreaking research paper: ...

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

Paper:

From Prediction to Uplift: Causal Modeling for Better Decisions

From Prediction to Uplift: Causal Modeling for Better Decisions

2026 - Day 2 - Analytics & Data Sci] Most AI/ML systems in production rely on predictive

World Models explained in 10min..

World Models explained in 10min..

World Models

World Models | The Next Frontier Beyond Large Language Models

World Models | The Next Frontier Beyond Large Language Models

What if the

ICANN 2025 - Causal Representations, World Models and Digital Twins - Bernhard Schölkopf

ICANN 2025 - Causal Representations, World Models and Digital Twins - Bernhard Schölkopf

ICANN 2025 -

Peter presents Robust Agents Learn Causal World Models

Peter presents Robust Agents Learn Causal World Models

Peter presents Robust Agents Learn Causal World Models

Causal Models: How People Think about the World and Its Alternatives

Causal Models: How People Think about the World and Its Alternatives

... maps

Thomas Kipf - Do World Models need Objects? (NeSy 2025 Keynote)

Thomas Kipf - Do World Models need Objects? (NeSy 2025 Keynote)

Our keynote speaker Thomas Kipf (Google Deepmind) discussed object-centric representation learning! Do objects need a ...