Jakub Tomczak
11 papers · 2018–2023 · 4 conferences · across top CS/AI conferences
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Conferences
NIPS (7)
ICML (2)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
generative model
(4)
deep generative model
(2)
normalizing flow
(2)
variational inference
(2)
variational autoencoder
(2)
approximate inference
(1)
image generation
(1)
reinforcement learning
(1)
probabilistic logic
(1)
hyperparameter optimization
(1)
symbolic reasoning
(1)
model robustness
(1)
attention mechanism
(1)
neural architecture search
(1)
catastrophic forgetting
(1)
markov chain monte carlo
(1)
gradient estimation
(1)
density estimation
(1)
posterior distribution
(1)
automatic differentiation
(1)
Papers
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
NIPS 2023
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
NIPS 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
NIPS 2022
Storchastic: A Framework for General Stochastic Automatic Differentiation
NIPS 2021
Invertible DenseNets with Concatenated LipSwish
NIPS 2021
Attentive Group Equivariant Convolutional Networks
ICML 2020
The Convolution Exponential and Generalized Sylvester Flows
NIPS 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
CVPR 2020
Combinatorial Bayesian Optimization using the Graph Cartesian Product
NIPS 2019
Attention-based Deep Multiple Instance Learning
ICML 2018
VAE with a VampPrior
AISTATS 2018