Human anterior prefrontal cortex encodes the 'what' and 'when' of future intentions. - Ida Momennejad; John-Dylan Haynes (NeuroImage, 2012)

FMRI decoding of intentions: Compositionality, hierarchy and prospective memory. - John-Dylan Haynes; David Wisniewski; Kai Görgen; Ida Momennejad; Carlo Reverberi (BCI, 2015)

The Ties that Bind Networks: Weak Ties Facilitate the Emergence of Collective Memories. - Ida Momennejad; Ajua Duker; Alin Coman (CoRR, 2017)

Predictive representations can link model-based reinforcement learning to model-free mechanisms. - Evan M. Russek; Ida Momennejad; Matthew M. Botvinick; Samuel J. Gershman; Nathaniel D. Daw (PLoS Comput. Biol., 2017)

Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. - Sam Devlin; Raluca Georgescu; Ida Momennejad; Jaroslaw Rzepecki; Evelyn Zuniga; Gavin Costello; Guy Leroy; Ali Shaw; Katja Hofmann (ICML, 2021)

Interaction-Grounded Learning. - Tengyang Xie; John Langford 001; Paul Mineiro; Ida Momennejad (ICML, 2021)

How Humans Perceive Human-like Behavior in Video Game Navigation. - Evelyn Zuniga; Stephanie Milani; Guy Leroy; Jaroslaw Rzepecki; Raluca Georgescu; Ida Momennejad; David Bignell; Mingfei Sun 001; Alison Shaw; Gavin Costello; Mikhail Jacob; Sam Devlin; et al. (CHI Extended Abstracts, 2022)

Priority-Adjusted Replay for Successor Representations. - Samuel Barnett; Ida Momennejad (CogSci, 2022)

Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations. - Madalina Vlasceanu; Miroslav Dudík; Ida Momennejad (FAccT, 2022)

Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. - Yi Wan; Ali Rahimi-Kalahroudi; Janarthanan Rajendran; Ida Momennejad; Sarath Chandar; Harm van Seijen (ICML, 2022)

Interaction-Grounded Learning with Action-Inclusive Feedback. - Tengyang Xie; Akanksha Saran; Dylan J. Foster; Lekan P. Molu; Ida Momennejad; Nan Jiang 008; Paul Mineiro; John Langford 001 (NeurIPS, 2022)

Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning. - Arthur Juliani; Samuel Barnett; Brandon Davis; Margaret Sereno; Ida Momennejad (CoRR, 2022)

Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS. - Eleni Nisioti; Matéo Mahaut; Pierre-Yves Oudeyer; Ida Momennejad; Clément Moulin-Frier (CoRR, 2022)

Eigen Memory Trees. - Mark Rucker; Jordan T. Ash; John Langford 001; Paul Mineiro; Ida Momennejad (CoRR, 2022)

A Rubric for Human-like Agents and NeuroAI. - Ida Momennejad (CoRR, 2022)

Representations of Temporal Community Structure in Hippocampus and Precuneus Predict Inductive Reasoning Decisions. - Athula Pudhiyidath; Neal W. Morton; Rodrigo Viveros Duran; Anna C. Schapiro; Ida Momennejad; Demitrius M. Hinojosa-Rowland; Robert J. Molitor; Alison R. Preston (J. Cogn. Neurosci., 2022)

One-Shot Learning from a Demonstration with Hierarchical Latent Language. - Nathaniel Weir; Xingdi Yuan; Marc-Alexandre Côté; Matthew J. Hausknecht; Romain Laroche; Ida Momennejad; Harm van Seijen; Benjamin Van Durme (AAMAS, 2023)

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. - Stephanie Milani; Arthur Juliani; Ida Momennejad; Raluca Georgescu; Jaroslaw Rzepecki; Alison Shaw; Gavin Costello; Fei Fang 001; Sam Devlin; Katja Hofmann (CHI, 2023)

Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. - Ali Rahimi-Kalahroudi; Janarthanan Rajendran; Ida Momennejad; Harm van Seijen; Sarath Chandar (CoLLAs, 2023)

Imitating Human Behaviour with Diffusion Models. - Tim Pearce; Tabish Rashid; Anssi Kanervisto; David Bignell; Mingfei Sun 001; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Ida Momennejad; Katja Hofmann; Sam Devlin (ICLR, 2023)

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. - Ida Momennejad; Hosein Hasanbeig; Felipe Vieira Frujeri; Hiteshi Sharma; Nebojsa Jojic; Hamid Palangi; Robert Osazuwa Ness; Jonathan Larson (NeurIPS, 2023)

Replay Buffer With Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning. - Ali Rahimi-Kalahroudi; Janarthanan Rajendran; Ida Momennejad; Harm van Seijen; Sarath Chandar (CoRR, 2023)

ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning. - Hosein Hasanbeig; Hiteshi Sharma; Leo Betthauser; Felipe Vieira Frujeri; Ida Momennejad (CoRR, 2023)

A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models. - Taylor W. Webb; Shanka Subhra Mondal; Chi Wang; Brian Krabach; Ida Momennejad (CoRR, 2023)

In-Context Learning in Large Language Models: A Neuroscience-inspired Analysis of Representations. - Safoora Yousefi; Leo Betthauser; Hosein Hasanbeig; Akanksha Saran; Raphaël Millière; Ida Momennejad (CoRR, 2023)

Memory, Space, and Planning: Multiscale Predictive Representations. - Ida Momennejad (CoRR, 2024)

Toward Human-AI Alignment in Large-Scale Multi-Player Games. - Sugandha Sharma; Guy Davidson; Khimya Khetarpal; Anssi Kanervisto; Udit Arora; Katja Hofmann; Ida Momennejad (CoRR, 2024)

Collective Innovation in Groups of Large Language Models. - Eleni Nisioti; Sebastian Risi; Ida Momennejad; Pierre-Yves Oudeyer; Clément Moulin-Frier (CoRR, 2024)

Evaluating Compositional Scene Understanding in Multimodal Generative Models. - Shuhao Fu; Andrew Jun Lee; Anna Wang 002; Ida Momennejad; Trevor Bihl; Hongjing Lu; Taylor Whittington Webb (Trans. Mach. Learn. Res., 2025)

Position: We Need An Algorithmic Understanding of Generative AI. - Oliver Eberle; Thomas McGee; Hamza Giaffar; Taylor W. Webb; Ida Momennejad (CoRR, 2025)