Katherine M. Collins
Katherine M. Collins
Machine Learning PhD Student at the University of Cambridge
Verified email at - Homepage
Cited by
Cited by
Next-generation machine learning for biological networks
DM Camacho, KM Collins, RK Powers, JC Costello, JJ Collins
Cell 173 (7), 1581-1592, 2018
Sequence-to-function deep learning frameworks for engineered riboregulators
JA Valeri, KM Collins, P Ramesh, MA Alcantar, BA Lepe, TK Lu, ...
Nature communications 11 (1), 5058, 2020
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
KM Collins, C Wong, J Feng, M Wei, JB Tenenbaum
Proceedings of the Annual Meeting of the Cognitive Science Society 44, 2022
Harms from increasingly agentic algorithmic systems
A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
Eliciting and learning with soft labels from every annotator
KM Collins, U Bhatt, A Weller
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10 …, 2022
Learning signal-agnostic manifolds of neural fields
Y Du, K Collins, J Tenenbaum, V Sitzmann
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
Getting aligned on representational alignment
I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, BC Love, ...
arXiv preprint arXiv:2310.13018, 2023
Human Uncertainty in Concept-Based AI Systems
KM Collins, M Barker, ME Zarlenga, N Raman, U Bhatt, M Jamnik, ...
AIES 2023, 2023
Evaluating language models for mathematics through interactions
KM Collins, AQ Jiang, S Frieder, L Wong, M Zilka, U Bhatt, T Lukasiewicz, ...
Proceedings of the National Academy of Sciences 121 (24), e2318124121, 2024
Bioautomated: An end-to-end automated machine learning tool for explanation and design of biological sequences
JA Valeri, LR Soenksen, KM Collins, P Ramesh, G Cai, R Powers, ...
Cell Systems 14 (6), 525-542. e9, 2023
Deep representation learning improves prediction of LacI-mediated transcriptional repression
AS Garruss, KM Collins, GM Church
Proceedings of the National Academy of Sciences 118 (27), e2022838118, 2021
On the informativeness of supervision signals
I Sucholutsky, RM Battleday, KM Collins, R Marjieh, J Peterson, P Singh, ...
Uncertainty in Artificial Intelligence, 2036-2046, 2023
Human-in-the-Loop Mixup
KM Collins, U Bhatt, W Liu, V Piratla, I Sucholutsky, B Love, A Weller
The 39th Conference on Uncertainty in Artificial Intelligence, 2023
Learning personalized decision support policies
U Bhatt, V Chen, KM Collins, P Kamalaruban, E Kallina, A Weller, ...
arXiv preprint arXiv:2304.06701, 2024
Learning to Receive Help: Intervention-Aware Concept Embedding Models
ME Zarlenga, KM Collins, K Dvijotham, A Weller, Z Shams, M Jamnik
Advances in Neural Information Processing Systems (NeurIPS) 36, 2024
The neuro-symbolic inverse planning engine (nipe): Modeling probabilistic social inferences from linguistic inputs
L Ying, KM Collins, M Wei, CE Zhang, T Zhi-Xuan, A Weller, ...
arXiv preprint arXiv:2306.14325, 2023
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
TA Le, KM Collins, L Hewitt, K Ellis, SJ Gershman, JB Tenenbaum
International Conference on Learning Representations (ICLR), 2022
Rich Human Feedback for Text-to-Image Generation
Y Liang, J He, G Li, P Li, A Klimovskiy, N Carolan, J Sun, J Pont-Tuset, ...
CVPR, 2024
AI for Mathematics: A Cognitive Science Perspective
CE Zhang, KM Collins, A Weller, JB Tenenbaum
arXiv preprint arXiv:2310.13021, 2023
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time
M Barker, KM Collins, K Dvijotham, A Weller, U Bhatt
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2023
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