Adam Scibior
8 papers · 2016–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
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Unstoppable Β· Bronze
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Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Core Methods
(2)
Learning Types
(2)
Models
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Learning Paradigms
(1)
Keywords
amortized inference
(2)
probabilistic programming
(2)
variance reduction
(2)
variational inference
(1)
trajectory prediction
(1)
policy learning
(1)
policy gradient
(1)
time series
(1)
importance sampling
(1)
sequential monte carlo
(1)
nonparametric estimation
(1)
posterior inference
(1)
rate of convergence
(1)
stochastic process
(1)
trajectory forecasting
(1)
particle filtering
(1)
kernel mean embedding
(1)
imitation learning
(1)
random variable
(1)
semi-supervised learning
(1)
Papers
Nearest Neighbour Score Estimators for Diffusion Generative Models
ICML 2024
A Diffusion-Model of Joint Interactive Navigation
NeurIPS 2023
Critic Sequential Monte Carlo
ICLR 2023
Amortized Rejection Sampling in Universal Probabilistic Programming
AISTATS 2022
Probabilistic surrogate networks for simulators with unbounded randomness
UAI 2022
Robust Asymmetric Learning in POMDPs
ICML 2021
Semi-supervised Sequential Generative Models
UAI 2020
Consistent Kernel Mean Estimation for Functions of Random Variables
NeurIPS 2016