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Andrey Malinin
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2020 – today
- 2023
- [c22]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller
, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI 2023: 1-5 - [c21]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller
, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI 2023: 1-5 - [c20]Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova:
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. NeurIPS 2023 - [i18]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller
, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR abs/2302.05432 (2023) - [i17]Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova:
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR abs/2302.13875 (2023) - [i16]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller
, Mara Graziani, Meritxell Bach Cuadra:
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - 2022
- [i15]Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf:
Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR abs/2206.15407 (2022) - [i14]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller
, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR abs/2211.04825 (2022) - 2021
- [c19]Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic:
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. EMNLP (1) 2021: 7901-7914 - [c18]Ivan Provilkov, Andrey Malinin:
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. EMNLP (1) 2021: 8612-8621 - [c17]Yassir Fathullah, Mark J. F. Gales, Andrey Malinin:
Ensemble Distillation Approaches for Grammatical Error Correction. ICASSP 2021: 2745-2749 - [c16]Andrey Malinin, Mark J. F. Gales:
Uncertainty Estimation in Autoregressive Structured Prediction. ICLR 2021 - [c15]Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko:
Uncertainty in Gradient Boosting via Ensembles. ICLR 2021 - [c14]Max Ryabinin, Andrey Malinin, Mark J. F. Gales:
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. NeurIPS 2021: 6023-6035 - [c13]Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov:
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. NeurIPS 2021: 21545-21556 - [c12]Andrey Malinin, Neil Band, Yarin Gal, Mark J. F. Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel:
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. NeurIPS Datasets and Benchmarks 2021 - [i13]Max Ryabinin, Andrey Malinin, Mark J. F. Gales:
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. CoRR abs/2105.06987 (2021) - [i12]Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov:
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. CoRR abs/2106.15739 (2021) - [i11]Andrey Malinin, Neil Band, Alexander Ganshin, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Mariya Shmatova, Panos Tigas, Boris Yangel:
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. CoRR abs/2107.07455 (2021) - [i10]Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic:
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. CoRR abs/2109.04349 (2021) - [i9]Ivan Provilkov, Andrey Malinin:
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. CoRR abs/2109.06253 (2021) - 2020
- [c11]Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales:
Ensemble Distribution Distillation. ICLR 2020 - [c10]Xixin Wu, Kate M. Knill, Mark J. F. Gales, Andrey Malinin:
Ensemble Approaches for Uncertainty in Spoken Language Assessment. INTERSPEECH 2020: 3860-3864 - [i8]Andrey Malinin, Mark J. F. Gales:
Uncertainty in Structured Prediction. CoRR abs/2002.07650 (2020) - [i7]Aleksei Ustimenko, Liudmila Prokhorenkova, Andrey Malinin:
Uncertainty in Gradient Boosting via Ensembles. CoRR abs/2006.10562 (2020) - [i6]Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark J. F. Gales:
Regression Prior Networks. CoRR abs/2006.11590 (2020) - [i5]Yassir Fathullah, Mark J. F. Gales, Andrey Malinin:
Ensemble Distillation Approaches for Grammatical Error Correction. CoRR abs/2012.07535 (2020)
2010 – 2019
- 2019
- [b1]Andrey Malinin:
Uncertainty estimation in deep learning with application to spoken language assessment. University of Cambridge, UK, 2019 - [c9]Andrey Malinin, Mark J. F. Gales:
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. NeurIPS 2019: 14520-14531 - [i4]Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales:
Ensemble Distribution Distillation. CoRR abs/1905.00076 (2019) - [i3]Andrey Malinin, Mark J. F. Gales:
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. CoRR abs/1905.13472 (2019) - 2018
- [j2]Yu Wang, Mark J. F. Gales, Kate M. Knill, Konstantinos Kyriakopoulos, Andrey Malinin, Rogier C. van Dalen, M. Rashid:
Towards automatic assessment of spontaneous spoken English. Speech Commun. 104: 47-56 (2018) - [c8]Kate M. Knill, Mark J. F. Gales, Konstantinos Kyriakopoulos, Andrey Malinin, Anton Ragni, Yu Wang, Andrew Caines:
Impact of ASR Performance on Free Speaking Language Assessment. INTERSPEECH 2018: 1641-1645 - [c7]Andrey Malinin, Mark J. F. Gales:
Predictive Uncertainty Estimation via Prior Networks. NeurIPS 2018: 7047-7058 - [c6]Marco Del Vecchio, Andrey Malinin, Mark J. F. Gales:
Improved Auto-Marking Confidence for Spoken Language Assessment. SLT 2018: 957-963 - [i2]Andrey Malinin, Mark J. F. Gales:
Predictive Uncertainty Estimation via Prior Networks. CoRR abs/1802.10501 (2018) - [i1]Andrey Malinin, Mark J. F. Gales:
Prior Networks for Detection of Adversarial Attacks. CoRR abs/1812.02575 (2018) - 2017
- [c5]Andrey Malinin, Anton Ragni, Kate M. Knill, Mark J. F. Gales:
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment. ACL (2) 2017: 45-50 - [c4]Andrey Malinin, Kate M. Knill, Mark J. F. Gales:
A hierarchical attention based model for off-topic spontaneous spoken response detection. ASRU 2017: 397-403 - [c3]Andrey Malinin, Kate M. Knill, Anton Ragni, Yu Wang, Mark J. F. Gales:
An attention based model for off-topic spontaneous spoken response detection: An Initial Study. SLaTE 2017: 144-149 - 2016
- [c2]Andrey Malinin, Rogier C. van Dalen, Kate M. Knill, Yu Wang, Mark J. F. Gales:
Off-topic Response Detection for Spontaneous Spoken English Assessment. ACL (1) 2016
2000 – 2009
- 2009
- [j1]Hoon Lee
, Vadim I. Utkin, Andrey Malinin:
Chattering reduction using multiphase sliding mode control. Int. J. Control 82(9): 1720-1737 (2009) - [c1]Khalifa Al-Hosani, Andrey Malinin, Vadim I. Utkin:
Sliding mode PID control of buck converters. ECC 2009: 2740-2744
Coauthor Index
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