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Katherine M. Collins
Katherine M. Collins
Machine Learning PhD Student at the University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Next-generation machine learning for biological networks
DM Camacho, KM Collins, RK Powers, JC Costello, JJ Collins
Cell 173 (7), 1581-1592, 2018
9372018
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
992020
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
86*2023
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
672022
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
552023
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
502022
Learning signal-agnostic manifolds of neural fields
Y Du, K Collins, J Tenenbaum, V Sitzmann
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
422021
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
362024
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
352024
Human Uncertainty in Concept-Based AI Systems
KM Collins, M Barker, ME Zarlenga, N Raman, U Bhatt, M Jamnik, ...
AIES 2023, 2023
302023
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
172023
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
16*2024
Learning personalized decision support policies
U Bhatt, V Chen, KM Collins, P Kamalaruban, E Kallina, A Weller, ...
arXiv preprint arXiv:2304.06701, 2024
122024
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
122023
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
102023
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
102021
Large Language Models Must Be Taught to Know What They Don't Know
S Kapoor, N Gruver, M Roberts, K Collins, A Pal, U Bhatt, A Weller, ...
arXiv preprint arXiv:2406.08391, 2024
92024
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
9*2023
Building machines that learn and think with people
KM Collins, I Sucholutsky, U Bhatt, K Chandra, L Wong, M Lee, CE Zhang, ...
Nature Human Behaviour 8 (10), 1851-1863, 2024
62024
AI for Mathematics: A Cognitive Science Perspective
CE Zhang, KM Collins, A Weller, JB Tenenbaum
arXiv preprint arXiv:2310.13021, 2023
52023
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