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Avantika Lal

2 accepted papers

2025

Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

ICLR 2025poster

Recent studies have demonstrated the strong empirical performance of diffusion models on discrete sequences (i.e., discrete diffusion models) across domains such as natural language and biological sequence generation. For example, in the protein inverse folding task, where the goal is to generate a…

2024

Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models

NeurIPS 2024poster

AI-driven design problems, such as DNA/protein sequence design, are commonly tackled from two angles: generative modeling, which efficiently captures the feasible design space (e.g., natural images or biological sequences), and model-based optimization, which utilizes reward models for extrapolation…

Cited by 14SourcePDFScholar