Reviewing our ongoing works on generalizing CRL for multiple causal models.
Technicals and practicals on training and finetuning LLMs
Introduction talk for learning JAX and Flax as Deep Learning framework
I presented our work BISCUIT, on making CRL viable on realistic, temporal interactive environments.
I gave a tutorial on distributed training strategies for large-scale models.
I presented our work BISCUIT, on making CRL viable on realistic, temporal interactive environments.
I presented an overview of our efforts on scaling Causal Representation Learning towards real-world settings.
I presented our recent paper on modeling accurate long rollouts with neural PDE solvers.
I presented our UAI spotlight paper on learning causal representation learning from low-level actions.
I presented our ICML workshop paper on how to achieve accurate long rollouts with neural PDE solvers.