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Agnieszka Slowik
Person information
- affiliation: University of Cambridge, UK
- unicode name: Agnieszka Słowik
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2020 – today
- 2024
- [j1]Artur Tadeusz Krzyzak, Julia Lasek, Zofia Schneider, Marcin Wnuk, Amira Bryll, Tadeusz Popiela, Agnieszka Slowik:
Diffusion tensor imaging metrics as natural markers of multiple sclerosis-induced brain disorders with a low Expanded Disability Status Scale score. NeuroImage 290: 120567 (2024) - [c8]Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison:
Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users. CVPR 2024: 12172-12182 - 2023
- [i11]Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison:
Explaining CLIP's performance disparities on data from blind/low vision users. CoRR abs/2311.17315 (2023) - 2022
- [c7]Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik:
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). AAAI 2022: 13053-13054 - [c6]Agnieszka Slowik, Léon Bottou:
On Distributionally Robust Optimization and Data Rebalancing. AISTATS 2022: 1283-1297 - 2021
- [c5]Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio:
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. AISTATS 2021: 919-927 - [c4]Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal:
Structural Inductive Biases in Emergent Communication. CogSci 2021 - [i10]Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz:
Linear unit-tests for invariance discovery. CoRR abs/2102.10867 (2021) - [i9]Agnieszka Slowik, Léon Bottou:
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation. CoRR abs/2106.09467 (2021) - 2020
- [c3]Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson:
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract). AAAI 2020: 13919-13920 - [c2]Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka:
Spatial Graph Convolutional Networks. ICONIP (5) 2020: 668-675 - [i8]Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden:
Towards Graph Representation Learning in Emergent Communication. CoRR abs/2001.09063 (2020) - [i7]Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal:
Exploring Structural Inductive Biases in Emergent Communication. CoRR abs/2002.01335 (2020) - [i6]Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio:
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. CoRR abs/2010.08012 (2020) - [i5]Shangmin Guo, Yi Ren, Agnieszka Slowik, Kory W. Mathewson:
Inductive Bias and Language Expressivity in Emergent Communication. CoRR abs/2012.02875 (2020)
2010 – 2019
- 2019
- [c1]Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson:
Bayesian Optimisation for Heuristic Configuration in Automated Theorem Proving. Vampire 2019: 45-51 - [i4]Paula Fermín Cueto, Meeke Roet, Agnieszka Slowik:
Completing partial recipes using item-based collaborative filtering to recommend ingredients. CoRR abs/1907.12380 (2019) - [i3]Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka:
Geometric Graph Convolutional Neural Networks. CoRR abs/1909.05310 (2019) - [i2]Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson:
Bayesian Optimisation with Gaussian Processes for Premise Selection. CoRR abs/1909.09137 (2019) - 2018
- [i1]Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey:
Dilated DenseNets for Relational Reasoning. CoRR abs/1811.00410 (2018)
Coauthor Index
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last updated on 2024-10-04 20:00 CEST by the dblp team
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