Alan Aspuru-Guzik
16 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Academic Marathon
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(6)
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(28)
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(5)
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Keyword Collector
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Conferences
NIPS (6)
ICML (4)
ICLR (3)
CORL (2)
ICCV (1)
Top co-authors
Keywords
material recognition
(2)
chemical space exploration
(2)
zero-shot learning
(1)
feature learning
(1)
few-shot learning
(1)
variational inference
(1)
image restoration
(1)
synthetic data generation
(1)
computer vision
(1)
parameter estimation
(1)
uncertainty quantification
(1)
optimal transport
(1)
point cloud
(1)
quantum computing
(1)
quantum machine learning
(1)
domain adaptation
(1)
gaussian process
(1)
parameter optimization
(1)
parallel optimization
(1)
semantic segmentation
(1)
Papers
Stiefel Flow Matching for Moment-Constrained Structure Elucidation
ICLR 2025
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
ICML 2025
AnyPlace: Learning Generalizable Object Placement for Robot Manipulation
CORL 2025
Efficient Evolutionary Search Over Chemical Space with Large Language Models
ICLR 2025
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
ICML 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Quantum Deep Equilibrium Models
NIPS 2024
Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation
NIPS 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
NIPS 2024
One-Shot Recognition of Any Material Anywhere Using Contrastive Learning with Physics-Based Rendering
ICCV 2023
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design
NIPS 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
NIPS 2023
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects
CORL 2021
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
ICLR 2020
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
ICML 2017
Convolutional Networks on Graphs for Learning Molecular Fingerprints
NIPS 2015