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Daksh Aggarwal

4 accepted papers

2026

Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

CVPR 2026

Recent advancements in video generation have enabled the development of "world models" capable of simulating potential futures for robotics and planning. However, specifying precise goals for these models remains a challenge; text instructions are often too abstract to capture physical nuances, whil

Cited by 0SourcecodeScholar
2025

Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals

NeurIPS 2025poster

Recent advances in video generation models have sparked interest in world models capable of simulating realistic environments. While navigation has been well-explored, physically meaningful interactions that mimic real-world forces remain largely understudied. In this work, we investigate using phy…

Cited by 0SourceScholar
2025

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions

ICLR 2025poster

As the quality of large language models has improved, there has been increased interest in using them to model non-linguistic tokens. For example, the Decision Transformer recasts agentic decision making as a sequence modeling problem, using a decoder-only LLM to model the distribution over the disc…

Cited by 13SourcePDFScholar
2024

Self-Correcting Self-Consuming Loops for Generative Model Training

ICML 2024poster

As synthetic data becomes higher quality and proliferates on the internet, machine learning models are increasingly trained on a mix of human- and machine-generated data. Despite the successful stories of using synthetic data for representation learning, using synthetic data for generative model tra…