Tomas Geffner
16 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌈
Renaissance Researcher
(5)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
🔥
Unstoppable
(6)
⚡
Prolific Year
(6)
💎
Century Club
(16)
Conferences
ICML (5)
ICLR (4)
NIPS (4)
AISTATS (3)
Top co-authors
Keywords
variational inference
(9)
control variate
(4)
markov chain monte carlo
(2)
reparameterization gradient
(2)
gradient variance
(2)
variance reduction
(2)
gradient estimator
(2)
preference optimization
(1)
bayesian inference
(1)
stochastic gradient descent
(1)
hierarchical model
(1)
signal-to-noise ratio
(1)
posterior estimation
(1)
monte carlo sampling
(1)
posterior approximation
(1)
posterior distribution
(1)
energy optimization
(1)
score matching
(1)
stochastic process
(1)
importance weighting
(1)
Papers
Adaptive Flow Matching for Resolving Small-Scale Physics
ICML 2025
Proteina: Scaling Flow-based Protein Structure Generative Models
ICLR 2025
Energy-Based Diffusion Language Models for Text Generation
ICLR 2025
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
ICLR 2025
Truncated Consistency Models
ICLR 2025
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
ICML 2025
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
NIPS 2024
Joint control variate for faster black-box variational inference
AISTATS 2024
Langevin Diffusion Variational Inference
AISTATS 2023
Compositional Score Modeling for Simulation-Based Inference
ICML 2023
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
ICML 2022
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
NIPS 2021
On the difficulty of unbiased alpha divergence minimization
ICML 2021
Approximation Based Variance Reduction for Reparameterization Gradients
NIPS 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference
AISTATS 2020
Using Large Ensembles of Control Variates for Variational Inference
NIPS 2018