Perceiving unseen objects. - Katherine M. Collins; Josh Tenenbaum 001; Kevin Smith 003 (CogSci, 2020)

Learning Signal-Agnostic Manifolds of Neural Fields. - Yilun Du; Katie Collins; Josh Tenenbaum 001; Vincent Sitzmann (NeurIPS, 2021)

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. - Katherine M. Collins; Catherine Wong; Jiahai Feng; Megan Wei; Josh Tenenbaum 001 (CogSci, 2022)

Eliciting and Learning with Soft Labels from Every Annotator. - Katherine M. Collins; Umang Bhatt; Adrian Weller (HCOMP, 2022)

Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. - Tuan Anh Le 001; Katherine M. Collins; Luke Hewitt; Kevin Ellis; Siddharth Narayanaswamy; Samuel Gershman; Joshua B. Tenenbaum (ICLR, 2022)

Web-based Elicitation of Human Perception on mixup Data. - Katherine M. Collins; Umang Bhatt; Weiyang Liu; Vihari Piratla; Bradley C. Love; Adrian Weller (CoRR, 2022)

Human Uncertainty in Concept-Based AI Systems. - Katherine Maeve Collins; Matthew Barker; Mateo Espinosa Zarlenga; Naveen Raman 001; Umang Bhatt; Mateja Jamnik; Ilia Sucholutsky; Adrian Weller; Krishnamurthy Dvijotham (AIES, 2023)

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. - Matthew Barker; Emma Kallina; Dhananjay Ashok; Katherine M. Collins; Ashley Casovan; Adrian Weller; Ameet Talwalkar; Valerie Chen; Umang Bhatt (EAAMO, 2023)

Harms from Increasingly Agentic Algorithmic Systems. - Alan Chan; Rebecca Salganik; Alva Markelius; Chris Pang; Nitarshan Rajkumar; Dmitrii Krasheninnikov; Lauro Langosco; Zhonghao He; Yawen Duan; Micah Carroll; Michelle P. Lin; Alex Mayhew; et al. (FAccT, 2023)

Robotics for the Streets: Open-Source Robotics for Academics. - Carlotta A. Berry; Alejandro Marcenido Larregola; Katie Collins; Josiah McGee (FIE, 2023)

GeValDi: Generative Validation of Discriminative Models. - Vivek Palaniappan; Matthew Ashman; Katherine M. Collins; Juyeon Heo; Adrian Weller; Umang Bhatt (Tiny Papers @ ICLR, 2023)

Learning to Receive Help: Intervention-Aware Concept Embedding Models. - Mateo Espinosa Zarlenga; Katie Collins; Krishnamurthy Dvijotham; Adrian Weller; Zohreh Shams; Mateja Jamnik (NeurIPS, 2023)

Human-in-the-Loop Mixup. - Katherine M. Collins; Umang Bhatt; Weiyang Liu; Vihari Piratla; Ilia Sucholutsky; Bradley C. Love; Adrian Weller (UAI, 2023)

On the informativeness of supervision signals. - Ilia Sucholutsky; Ruairidh M. Battleday; Katherine M. Collins; Raja Marjieh; Joshua C. Peterson; Pulkit Singh; Umang Bhatt; Nori Jacoby; Adrian Weller; Thomas L. Griffiths 001 (UAI, 2023)

Evaluating Language Models for Mathematics through Interactions. - Katherine M. Collins; Albert Q. Jiang; Simon Frieder; Lionel Wong; Miri Zilka; Umang Bhatt; Thomas Lukasiewicz; Yuhuai Wu; Joshua B. Tenenbaum; William Hart; Timothy Gowers; Wenda Li; et al. (CoRR, 2023)

Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. - Matthew Barker; Katherine M. Collins; Krishnamurthy Dvijotham; Adrian Weller; Umang Bhatt (CoRR, 2023)

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. - Lance Ying; Katherine M. Collins; Megan Wei; Cedegao E. Zhang; Tan Zhi-Xuan; Adrian Weller; Joshua B. Tenenbaum; Lionel Wong (CoRR, 2023)

Getting aligned on representational alignment. - Ilia Sucholutsky; Lukas Muttenthaler; Adrian Weller; Andi Peng; Andreea Bobu; Been Kim; Bradley C. Love; Erin Grant; Jascha Achterberg; Joshua B. Tenenbaum; Katherine M. Collins; Katherine L. Hermann; et al. (CoRR, 2023)

AI for Mathematics: A Cognitive Science Perspective. - Cedegao E. Zhang; Katherine M. Collins; Adrian Weller; Joshua B. Tenenbaum (CoRR, 2023)

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. - Katherine M. Collins; Najoung Kim; Yonatan Bitton; Verena Rieser; Shayegan Omidshafiei; Yushi Hu; Sherol Chen; Senjuti Dutta; Minsuk Chang; Kimin Lee; Youwei Liang; Georgina Evans; et al. (AIES (1), 2024)

Rich Human Feedback for Text-to-Image Generation. - Youwei Liang; Junfeng He; Gang Li; Peizhao Li; Arseniy Klimovskiy; Nicholas Carolan; Jiao Sun; Jordi Pont-Tuset; Sarah Young; Feng Yang; Junjie Ke; Krishnamurthy Dj Dvijotham; et al. (CVPR, 2024)

Large Language Models Must Be Taught to Know What They Don't Know. - Sanyam Kapoor; Nate Gruver; Manley Roberts; Katie Collins; Arka Pal; Umang Bhatt; Adrian Weller; Samuel Dooley; Micah Goldblum; Andrew Gordon Wilson (NeurIPS, 2024)

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction. - Senjuti Dutta; Sherol Chen; Sunny Mak; Amnah Ahmad; Katherine Maeve Collins; Alena Butryna; Deepak Ramachandran; Krishnamurthy Dvijotham; Ellie Pavlick; Ravi Rajakumar (CoRR, 2024)

Representational Alignment Supports Effective Machine Teaching. - Ilia Sucholutsky; Katherine M. Collins; Maya Malaviya; Nori Jacoby; Weiyang Liu; Theodore R. Sumers; Michalis Korakakis; Umang Bhatt; Mark K. Ho; Joshua B. Tenenbaum; Bradley C. Love; Zachary A. Pardos; et al. (CoRR, 2024)

Modulating Language Model Experiences through Frictions. - Katherine M. Collins; Valerie Chen; Ilia Sucholutsky; Hannah Rose Kirk; Malak Sadek; Holli Sargeant; Ameet Talwalkar; Adrian Weller; Umang Bhatt (CoRR, 2024)

People use fast, goal-directed simulation to reason about novel games. - Cedegao E. Zhang; Katherine M. Collins; Lionel Wong; Adrian Weller; Joshua B. Tenenbaum (CoRR, 2024)

Building Machines that Learn and Think with People. - Katherine M. Collins; Ilia Sucholutsky; Umang Bhatt; Kartik Chandra; Lionel Wong; Mina Lee 002; Cedegao E. Zhang; Tan Zhi-Xuan; Mark K. Ho; Vikash Mansinghka 001; Adrian Weller; Joshua B. Tenenbaum; et al. (CoRR, 2024)

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience. - Zhonghao He; Jascha Achterberg; Katie Collins; Kevin K. Nejad; Danyal Akarca; Yinzhu Yang; Wes Gurnee; Ilia Sucholutsky; Yuhan Tang; Rebeca Ianov; George Ogden; Chole Li; et al. (CoRR, 2024)

Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning. - Simon Frieder; Jonas Bayer; Katherine M. Collins; Julius Berner; Jacob Loader; András Juhász; Fabian Ruehle; Sean Welleck; Gabriel Poesia; Ryan-Rhys Griffiths; Adrian Weller; Anirudh Goyal; et al. (CoRR, 2024)

Learning Personalized Decision Support Policies. - Umang Bhatt; Valerie Chen; Katherine M. Collins; Parameswaran Kamalaruban; Emma Kallina; Adrian Weller; Ameet Talwalkar (AAAI, 2025)

Can Large Language Models Understand Symbolic Graphics Programs? - Zeju Qiu; Weiyang Liu; Haiwen Feng; Zhen Liu 019; Tim Z. Xiao; Katherine M. Collins; Joshua B. Tenenbaum; Adrian Weller; Michael J. Black; Bernhard Schölkopf (ICLR, 2025)

Revisiting Rogers' Paradox in the Context of Human-AI Interaction. - Katherine M. Collins; Umang Bhatt; Ilia Sucholutsky (CoRR, 2025)

On Benchmarking Human-Like Intelligence in Machines. - Lance Ying; Katherine M. Collins; Lionel Wong; Ilia Sucholutsky; Ryan Liu 001; Adrian Weller; Tianmin Shu; Thomas L. Griffiths 001; Joshua B. Tenenbaum (CoRR, 2025)

General Scales Unlock AI Evaluation with Explanatory and Predictive Power. - Lexin Zhou; Lorenzo Pacchiardi; Fernando Martínez-Plumed; Katherine M. Collins; Yael Moros-Daval; Seraphina Zhang; Qinlin Zhao; Yitian Huang; Luning Sun; Jonathan E. Prunty; Zongqian Li; Pablo Sánchez-García; et al. (CoRR, 2025)

When Should We Orchestrate Multiple Agents? - Umang Bhatt; Sanyam Kapoor; Mihir Upadhyay; Ilia Sucholutsky; Francesco Quinzan; Katherine M. Collins; Adrian Weller; Andrew Gordon Wilson; Muhammad Bilal Zafar (CoRR, 2025)

Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships. - Kerem Oktar; Katherine M. Collins; José Hernández-Orallo; Diane Coyle; Stephen Cave; Adrian Weller; Ilia Sucholutsky (CoRR, 2025)

Using LLMs to Advance the Cognitive Science of Collectives. - Ilia Sucholutsky; Katherine M. Collins; Nori Jacoby; Bill D. Thompson; Robert D. Hawkins (CoRR, 2025)

What's in the Box? Reasoning about Unseen Objects from Multimodal Cues. - Lance Ying; Daniel Xu; Alicia Zhang; Katherine M. Collins; Max H. Siegel; Joshua B. Tenenbaum (CoRR, 2025)

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly. - Lance Ying; Ryan Truong; Katherine M. Collins; Cedegao E. Zhang; Megan Wei; Tyler Brooke-Wilson; Tan Zhi-Xuan; Lionel Wong; Joshua B. Tenenbaum (CoRR, 2025)

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. - Lionel Wong; Katherine M. Collins; Lance Ying; Cedegao E. Zhang; Adrian Weller; Tobias Gerstenberg; Timothy O'Donnell; Alexander K. Lew; Jacob Andreas; Joshua B. Tenenbaum; Tyler Brooke-Wilson (CoRR, 2025)

Assessing Adaptive World Models in Machines with Novel Games. - Lance Ying; Katherine M. Collins; Prafull Sharma; Cedric Colas; Kaiya Ivy Zhao; Adrian Weller; Zenna Tavares; Phillip Isola; Samuel J. Gershman; Jacob Andreas; Thomas L. Griffiths 001; François Chollet; et al. (CoRR, 2025)

Empathy in Explanation. - Katherine M. Collins; Kartik Chandra; Adrian Weller; Jonathan Ragan-Kelley; Joshua B. Tenenbaum (CoRR, 2025)

Generation and Evaluation in the Human Invention Process through the Lens of Game Design. - Katherine M. Collins; Graham Todd; Cedegao E. Zhang; Adrian Weller; Julian Togelius; Junyi Chu; Lionel Wong; Thomas L. Griffiths 001; Joshua B. Tenenbaum (CoRR, 2025)

Documenting Deployment with Fabric: A Repository of Real-World AI Governance. - Mackenzie Jorgensen; Kendall Brogle; Katherine M. Collins; Lujain Ibrahim; Arina Shah; Petra Ivanovic; Noah Broestl; Gabriel Piles; Paul Dongha; Hatim Abdulhussein; Adrian Weller; Jillian Powers; et al. (CoRR, 2025)