2025
Discovering Latent Causal Graphs from Spatio-Temporal Data
Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu (* equal contribution)
International Conference on Machine Learning (ICML) 2025 | Oral Presentation at NeurIPS 2024 Causal Representation Learning Workshop
This paper presents a novel approach to discovering latent causal structures from spatio-temporal data, addressing the challenge of identifying causal relationships in complex dynamical systems.
Discovering Latent Causal Graphs from Spatio-Temporal Data
Kun Wang*, Sumanth Varambally*, Duncan Watson-Parris, Yian Ma, Rose Yu (* equal contribution)
International Conference on Machine Learning (ICML) 2025 | Oral Presentation at NeurIPS 2024 Causal Representation Learning Workshop
This paper presents a novel approach to discovering latent causal structures from spatio-temporal data, addressing the challenge of identifying causal relationships in complex dynamical systems.
SceneProg: Program Synthesis for 3D Scene Generation using LLMs
Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker
Under Review 2025
We present SceneProg, a novel approach that leverages Large Language Models for program synthesis to generate complex 3D scenes, enabling intuitive scene creation through natural language instructions.
SceneProg: Program Synthesis for 3D Scene Generation using LLMs
Kunal Gupta, Ishit Mehta, Kun Wang, Nicholas Chua, Yan Deng, Abhimanyu Krishna, Ravi Ramamoorthi, Manmohan Chandraker
Under Review 2025
We present SceneProg, a novel approach that leverages Large Language Models for program synthesis to generate complex 3D scenes, enabling intuitive scene creation through natural language instructions.