Vision-language alignment, contrastive objectives (e.g., CLIP), and fusion strategies for building multimodal systems.

Noise schedules, forward/reverse processes, and sampling recipes that power modern generative diffusion pipelines.

Latent variable modeling with encoder/decoder pairs, ELBO optimization, and practical VAE architectures.

Adversarial training, loss variants, and practical tips for stabilizing GANs for image generation.