Tommaso Biancalani
12 papers · 2023–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π§ Keyword Pioneer π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge
π
Grand Slam
π
Century Club
(11)
Conferences
ICML (4)
ICLR (3)
AISTATS (2)
NIPS (2)
AAAI (1)
Top co-authors
Keywords
generative flow network
(2)
variational inference
(1)
reward model
(1)
graph generation
(1)
causal structure learning
(1)
reward function
(1)
conditional density
(1)
cyclic causal model
(1)
generative model
(1)
graphical model
(1)
diffusion model
(1)
autoregressive model
(1)
normalizing flow
(1)
prediction set
(1)
causal discovery
(1)
molecular graph
(1)
uncertainty estimation
(1)
conformal prediction
(1)
drug discovery
(1)
reinforcement learning
(1)
Papers
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
AAAI 2026
Adding Conditional Control to Diffusion Models with Reinforcement Learning
ICLR 2025
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
ICLR 2025
Contextualizing biological perturbation experiments through language
ICLR 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
ICML 2025
GFlowNet Assisted Biological Sequence Editing
NIPS 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
AISTATS 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models
ICML 2024
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
NIPS 2024
Towards Understanding and Improving GFlowNet Training
ICML 2023
Improving Graph Generation by Restricting Graph Bandwidth
ICML 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
AISTATS 2023