Tommaso Biancalani

Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine

Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design

scCBGM: Single-Cell Editing via Concept Bottlenecks

Dynamic Search for Inference-Time Alignment in Diffusion Models

Title: HypoGeneAgent: Hypothesis Language Agent for Gene-set Cluster Resolution Selection Using Perturb-seq Datasets

Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding

Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design

Adding Conditional Control to Diffusion Models with Reinforcement Learning

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

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

A mechanistically interpretable neural network for regulatory genomics

Contextualizing biological perturbation experiments through language

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding