Profiling Arousal in Response to Complex Stimuli using Biosignals. - Felix Putze; Dominic Heger; Markus Müller 001; Christian Waldkirch; Yves Chassein; Ivana Kajic; Tanja Schultz (BIOSIGNALS, 2013)

Learning hand-eye coordination for a humanoid robot using SOMs. - Ivana Kajic; Guido Schillaci; Sasa Bodiroza; Verena V. Hafner (HRI, 2014)

Neural Network Model of Semantic Processing in the Remote Associates Test. - Ivana Kajic; Thomas Wennekers (CoCo@NIPS, 2015)

Towards a Cognitively Realistic Representation of Word Associations. - Ivana Kajic; Jan Gosmann; Terrence C. Stewart; Thomas Wennekers; Chris Eliasmith (CogSci, 2016)

A Biologically Constrained Model of Semantic Memory Search. - Ivana Kajic; Jan Gosmann; Brent Komer; Ryan W. Orr; Terrence C. Stewart; Chris Eliasmith (CogSci, 2017)

Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks. - Aaron Voelker; Ivana Kajic; Chris Eliasmith (NeurIPS, 2019)

The semantic pointer theory of emotion: Integrating physiology, appraisal, and construction. - Ivana Kajic; Tobias Schröder; Terrence C. Stewart; Paul Thagard (Cogn. Syst. Res., 2019)

Learning to cooperate: Emergent communication in multi-agent navigation. - Ivana Kajic; Eser Aygün; Doina Precup (CogSci, 2020)

Biologically Constrained Large-Scale Model of the Wisconsin Card Sorting Test. - Ivana Kajic; Terrence C. Stewart (CogSci, 2021)

Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. - Aishwarya Agrawal; Ivana Kajic; Emanuele Bugliarello; Elnaz Davoodi; Anita Gergely; Phil Blunsom; Aida Nematzadeh (CoRR, 2022)

Over-communicate no more: Situated RL agents learn concise communication protocols. - Aleksandra Kalinowska; Elnaz Davoodi; Florian Strub; Kory W. Mathewson; Ivana Kajic; Michael Bowling; Todd D. Murphey; Patrick M. Pilarski (CoRR, 2022)

Evaluating Visual Number Discrimination in Deep Neural Networks. - Ivana Kajic; Aida Nematzadeh (CogSci, 2023)

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. - Aishwarya Agrawal; Ivana Kajic; Emanuele Bugliarello; Elnaz Davoodi; Anita Gergely; Phil Blunsom; Aida Nematzadeh (EACL (Findings), 2023)

Evaluating Numerical Reasoning in Text-to-Image Models. - Ivana Kajic; Olivia Wiles; Isabela Albuquerque; Matthias Bauer; Su Wang 001; Jordi Pont-Tuset; Aida Nematzadeh (NeurIPS, 2024)

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Chris Knutsen; Cyrus Rashtchian; Jordi Pont-Tuset; Aida Nematzadeh (CoRR, 2024)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. - Cristina Nader Vasconcelos; Abdullah Rashwan; Austin Waters; Trevor Walker; Keyang Xu; Jimmy Yan; Rui Qian; Yeqing Li; Shixin Luo; Yasumasa Onoe; Zarana Parekh; Ivana Kajic; et al. (Trans. Mach. Learn. Res., 2024)

Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Pinelopi Papalampidi; Ira Ktena; Christopher Knutsen; Cyrus Rashtchian; Anant Nawalgaria; et al. (ICLR, 2025)

EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. - Ibtihel Amara; Ahmed Imtiaz Humayun; Ivana Kajic; Zarana Parekh; Natalie Harris; Sarah Young; Chirag Nagpal; Najoung Kim; Junfeng He; Cristina Nader Vasconcelos; Deepak Ramachandran; Golnoosh Farnadi; et al. (CoRR, 2025)