Tomczak, Jakub

10 publications

NeurIPS 2023 A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette Ten Teije

NeurIPSW 2023 De Novo Drug Design with Joint Transformers Adam Izdebski, Ewelina Weglarz-Tomczak, Ewa Szczurek, Jakub Tomczak

NeurIPS 2022 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina, Max Welling, Jakub Tomczak

NeurIPS 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-Based Deep Generative Models Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub Tomczak

NeurIPS 2021 Invertible DenseNets with Concatenated LipSwish Yura Perugachi-Diaz, Jakub Tomczak, Sandjai Bhulai

NeurIPS 2021 Storchastic: A Framework for General Stochastic Automatic Differentiation Emile Krieken, Jakub Tomczak, Annette Ten Teije

ICML 2020 Attentive Group Equivariant Convolutional Networks David Romero, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn

NeurIPS 2020 The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom, Victor Garcia Satorras, Jakub Tomczak, Max Welling

NeurIPS 2019 Combinatorial Bayesian Optimization Using the Graph Cartesian Product Changyong Oh, Jakub Tomczak, Efstratios Gavves, Max Welling

ICML 2018 Attention-Based Deep Multiple Instance Learning Maximilian Ilse, Jakub Tomczak, Max Welling