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Siddharth Swaroop
Observed names:
Swaroop, S.,
Swaroop, Siddharth
Institution:
University College London
Observed institutions:
Harvard University,
University of Cambridge,
RIKEN,
RIKEN Center for Advanced Intelligence Project,
University College London
ORCID:
0009-0009-5345-8844
Observed ORCID:
0009-0009-5345-8844
OpenAlex ID:
A5102978385
Practical Deep Learning with Bayesian Principles
2019
·
Osawa, Kazuki
, Swaroop, Siddharth
, et al.
·
arXiv (Cornell University)
·
166
PDF
Continual Deep Learning by Functional Regularisation of Memorable Past
2020
·
Pan, Pingbo
, Swaroop, Siddharth
, et al.
·
arXiv (Cornell University)
·
78
PDF
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
2025
·
Zana Buçinca
, Siddharth Swaroop
, et al.
·
CHI Conference on Human Factors in Computing Systems
·
63
PDF
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
2024
·
Siddharth Swaroop
, Zana Buçinca
, et al.
·
ACM International Conference on Intelligent User Interfaces (IUI)
·
62
PDF
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
2018
·
Bui, Thang D.
, Nguyen, Cuong V.
, et al.
·
arXiv (Cornell University)
·
56
PDF
Generalized Variational Continual Learning
2020
·
Loo, Noel
, Swaroop, Siddharth
, et al.
·
arXiv (Cornell University)
·
53
PDF
Improving and Understanding Variational Continual Learning
2019
·
Swaroop, Siddharth
, Nguyen, Cuong V.
, et al.
·
arXiv (Cornell University)
·
50
PDF
Offline Reinforcement Learning for Adaptive Support in AI-Assisted Decision-Making
2026
·
Zana Buçinca
, Siddharth Swaroop
, et al.
·
ACM Transactions on Computer-Human Interaction
·
48
Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making
2025
·
Siddharth Swaroop
, Zana Buçinca
, et al.
·
ACM International Conference on Intelligent User Interfaces (IUI)
·
29
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
2022
·
Ashman, Matthew
, Bui, Thang D.
, et al.
·
arXiv (Cornell University)
·
21
PDF
Knowledge-Adaptation Priors
2021
·
Khan, Mohammad Emtiyaz
, Swaroop, Siddharth
·
arXiv (Cornell University)
·
16
PDF
Efficient Low Rank Gaussian Variational Inference for Neural Networks
2020
·
Marcin B. Tomczak
, Siddharth Swaroop
, et al.
·
neural information processing systems
·
10
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
2024
·
Eura Nofshin
, Siddharth Swaroop
, et al.
·
Adaptive Agents and Multi-Agents Systems
·
5
PDF
Modeling Mobile Health Users as Reinforcement Learning Agents
2022
·
Shin, Eura
, Swaroop, Siddharth
, et al.
·
arXiv (Cornell University)
·
4
PDF
Differentially Private Federated Variational Inference
2019
·
Sharma, Mrinank
, Hutchinson, Michael
, et al.
·
arXiv (Cornell University)
·
4
PDF
Position: Agentic AI Systems should be making Bayes-Consistent Decisions
2026
·
Theodore Papamarkou
, Pierre Alquier
, et al.
·
SSRN Electronic Journal
·
3
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning
2023
·
Ankile, L. L.
, Ham, B. S.
, et al.
·
arXiv (Cornell University)
·
3
PDF
Collapsed Variational Bounds for Bayesian Neural Networks
2021
·
Marcin B. Tomczak
, Siddharth Swaroop
, et al.
·
neural information processing systems
·
3
Rethinking LLM Bias Probing Using Lessons from the Social Sciences
2025
·
Morehouse, Kirsten N.
, Swaroop, Siddharth
, et al.
·
arXiv (Cornell University)
·
2
PDF
Federated ADMM from Bayesian Duality
2025
·
Möllenhoff, Thomas
, Swaroop, Siddharth
, et al.
·
arXiv (Cornell University)
·
1
PDF
Connecting Federated ADMM to Bayes
2025
·
Swaroop, Siddharth
, Khan, Mohammad Emtiyaz
, et al.
·
arXiv (Cornell University)
·
1
PDF
Lifelong Learning for Deep Neural Networks with Bayesian Principles
2024
·
Cuong V. Nguyen
, Siddharth Swaroop
, et al.
·
WORLD SCIENTIFIC eBooks
·
1
Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
2026
·
Odgers, James
, Riegler, Ben
, et al.
·
arXiv (Cornell University)
PDF
Fast and Slow Variational Continual Learning
2026
·
Paul, Subarnaduti
, Jung, Yohan
, et al.
·
arXiv (Cornell University)
PDF
A Machine Learning Driven Approach to Quantifying Coronary Artery Tortuosity
2026
·
Jose Roberto Tello Ayala
, Kelvin Supriami
, et al.
·
JACC Advances
PDF
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Works count:
33
Citation count:
679
H-index:
11
I10-index:
12
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