← Search

Gautham Govind Anil

3 accepted papers

2026

Fine-Tuning Diffusion Models via Intermediate Distribution Shaping

ICLR 2026poster

Diffusion models are widely used for generative tasks across domains. While pre-trained diffusion models effectively capture the training data distribution, it is often desirable to shape these distributions using reward functions to align with downstream applications. Policy gradient methods, such…

Cited by 0SourceScholar
2025

Infinite Width Limits of Self Supervised Neural Networks

AISTATS 2025poster

The NTK is a widely used tool in the theoretical analysis of deep learning, allowing us to look at supervised deep neural networks through the lenses of kernel regression. Recently, several works have investigated kernel models for self-supervised learning, hypothesizing that these also shed light o…

Cited by 0SourceScholar
2025

When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?

AAAI 2025technical

Contrastive learning is a paradigm for learning representations from unlabelled data and several recent works have claimed that such models effectively learn spectral embeddings and show relations between (wide) contrastive models and kernel principal component analysis (PCA). However, it is not kno…

Cited by 1SourcePDFScholar