Agnieszka Słowik | DeepAI

AI Chat

Featured Co-authors

Jacek Tabor
63 publications
Amos Storkey
54 publications
Przemysław Spurek
38 publications
Mateja Jamnik
36 publications
Marek Śmieja
32 publications
Łukasz Struski
25 publications
Lawrence C. Paulson
22 publications
Elliot J. Crowley
18 publications
Łukasz Maziarka
14 publications
Antreas Antoniou
9 publications
Tomasz Danel
7 publications

∙ 07/24/2021

Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation

Machine learning systems based on minimizing average error have been sho...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Linear unit-tests for invariance discovery

There is an increasing interest in algorithms to learn invariant correla...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Inductive Bias and Language Expressivity in Emergent Communication

Referential games and reconstruction games are the most common game type...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers

Feed-forward neural networks consist of a sequence of layers, in which e...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)

Modern theorem provers utilise a wide array of heuristics to control the...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Structural Inductive Biases in Emergent Communication

In order to communicate, humans flatten a complex representation of idea...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Analyzing Structural Priors in Multi-Agent Communication

Human language and thought are characterized by the ability to systemati...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Towards Graph Representation Learning in Emergent Communication

Recent findings in neuroscience suggest that the human brain represents ...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Spatial Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have recently be- come the primary ...

0 Agnieszka Słowik, et al. ∙

∙ 09/18/2019

Bayesian Optimisation with Gaussian Processes for Premise Selection

Heuristics in theorem provers are often parameterised. Modern theorem pr...

14 Agnieszka Słowik, et al. ∙

∙ 09/11/2019

Geometric Graph Convolutional Neural Networks

Graph Convolutional Networks (GCNs) have recently become the primary cho...

1 Przemysław Spurek, et al. ∙

∙ 07/23/2019

Completing partial recipes using item-based collaborative filtering to recommend ingredients

Increased public interest in healthy lifestyles has motivated the study ...

1 Paula Fermín Cueto, et al. ∙

∙ 11/01/2018

Dilated DenseNets for Relational Reasoning

Despite their impressive performance in many tasks, deep neural networks...

11 Antreas Antoniou, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world