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Stephen J. Roberts

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Adam D. Cobb

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Publications

2023
[j56]
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  - journals/entropy/KesslerCRZR23
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  - https://dblp.org/rec/journals/entropy/KesslerCRZR23
Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts:
On Sequential Bayesian Inference for Continual Learning. Entropy 25(6): 884 (2023)
[i106]
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  - journals/corr/abs-2301-01828
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  - https://dblp.org/rec/journals/corr/abs-2301-01828
Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts:
On Sequential Bayesian Inference for Continual Learning. CoRR abs/2301.01828 (2023)
2021
[c104]
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  - conf/nips/KiskinSCRWZGDML21
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Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy Willis, Stephen J. Roberts:
HumBugDB: A Large-scale Acoustic Mosquito Dataset. NeurIPS Datasets and Benchmarks 2021
[c102]
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  - conf/pkdd/KiskinCSWR21
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Ivan Kiskin, Adam D. Cobb, Marianne Sinka, Kathy Willis, Stephen J. Roberts:
Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks. ECML/PKDD (4) 2021: 351-366
[i77]
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  - journals/corr/abs-2110-07607
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Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy J. Willis, Stephen J. Roberts:
HumBugDB: A Large-scale Acoustic Mosquito Dataset. CoRR abs/2110.07607 (2021)
2020
[c94]
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  - conf/icassp/KiskinCWR20
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Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts:
Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. ICASSP 2020: 916-920
[i74]
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  - journals/corr/abs-2001-04733
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Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts:
HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset. CoRR abs/2001.04733 (2020)
2019
[c84]
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  - electronic edition @ acm.org
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  - conf/atal/EverettCMR19
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Richard Everett, Adam D. Cobb, Andrew Markham, Stephen J. Roberts:
Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents. AAMAS 2019: 1943-1945
[i41]
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  - journals/corr/abs-1910-06243
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Adam D. Cobb, Atilim Günes Baydin, Andrew Markham, Stephen J. Roberts:
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo. CoRR abs/1910.06243 (2019)
2018
[c74]
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  - conf/kdd/CobbEMR18
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Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. KDD 2018: 1254-1262
[c73]
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  - conf/sum/BlaasCCR18
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Arno Blaas, Adam D. Cobb, Jan-Peter Calliess, Stephen J. Roberts:
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. SUM 2018: 373-379
[i33]
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  - journals/corr/abs-1802-10446
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Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts:
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. CoRR abs/1802.10446 (2018)
[i28]
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  - journals/corr/abs-1805-03901
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Adam D. Cobb, Stephen J. Roberts, Yarin Gal:
Loss-Calibrated Approximate Inference in Bayesian Neural Networks. CoRR abs/1805.03901 (2018)
[i18]
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  - journals/corr/abs-1812-04994
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Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen J. Roberts:
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. CoRR abs/1812.04994 (2018)
2017
[i12]
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  - journals/corr/abs-1709-02357
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Adam D. Cobb, Andrew Markham, Stephen J. Roberts:
Learning from lions: inferring the utility of agents from their trajectories. CoRR abs/1709.02357 (2017)

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