Andrey Malinin

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 40

Top Topics

Lesion Segmentation

Spoken Language

Dempster Shafer

Multiple Sclerosis

Top Venues

Publications

Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. NeurIPS (2023)
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR (2023)
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 (2023)
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)
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)
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 (2023)
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 (2022)
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 (2022)
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 (2021)
Max Ryabinin, Andrey Malinin, Mark J. F. Gales
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. NeurIPS (2021)
Ivan Provilkov, Andrey Malinin
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. EMNLP (1) (2021)
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)
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)
Ivan Provilkov, Andrey Malinin
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. CoRR (2021)
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)
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 (2021)
Max Ryabinin, Andrey Malinin, Mark J. F. Gales
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. CoRR (2021)
Andrey Malinin, Mark J. F. Gales
Uncertainty Estimation in Autoregressive Structured Prediction. ICLR (2021)
Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko
Uncertainty in Gradient Boosting via Ensembles. ICLR (2021)
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 (2021)
Yassir Fathullah, M. J. F. Gales, Andrey Malinin
Ensemble Distillation Approaches for Grammatical Error Correction. ICASSP (2021)
Yassir Fathullah, Mark J. F. Gales, Andrey Malinin
Ensemble Distillation Approaches for Grammatical Error Correction. CoRR (2020)
Xixin Wu, Kate M. Knill, Mark J. F. Gales, Andrey Malinin
Ensemble Approaches for Uncertainty in Spoken Language Assessment. INTERSPEECH (2020)
Aleksei Ustimenko, Liudmila Prokhorenkova, Andrey Malinin
Uncertainty in Gradient Boosting via Ensembles. CoRR (2020)
Andrey Malinin, Mark J. F. Gales
Uncertainty in Structured Prediction. CoRR (2020)
Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
Ensemble Distribution Distillation. ICLR (2020)
Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark J. F. Gales
Regression Prior Networks. CoRR (2020)
Andrey Malinin, Mark J. F. Gales
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. CoRR (2019)
Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
Ensemble Distribution Distillation. CoRR (2019)
Andrey Malinin, Mark J. F. Gales
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. NeurIPS (2019)
Andrey Malinin, Mark J. F. Gales
Predictive Uncertainty Estimation via Prior Networks. NeurIPS (2018)
Marco Del Vecchio, Andrey Malinin, M. J. F. Gales
Improved Auto-Marking Confidence for Spoken Language Assessment. SLT (2018)
Kate 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)
Andrey Malinin, Mark J. F. Gales
Prior Networks for Detection of Adversarial Attacks. CoRR (2018)
Yu Wang, M. 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 (2018)
Andrey Malinin, Mark J. F. Gales
Predictive Uncertainty Estimation via Prior Networks. CoRR (2018)
Andrey Malinin, Kate 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)
Andrey Malinin, Kate Knill, Mark J. F. Gales
A hierarchical attention based model for off-topic spontaneous spoken response detection. ASRU (2017)
Andrey Malinin, Anton Ragni, Kate Knill, Mark J. F. Gales
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment. ACL (2) (2017)
Andrey Malinin, Rogier C. van Dalen, Kate Knill, Yu Wang, Mark J. F. Gales
Off-topic Response Detection for Spontaneous Spoken English Assessment. ACL (1) (2016)
Hoon Lee, Vadim I. Utkin, Andrey Malinin
Chattering reduction using multiphase sliding mode control. Int. J. Control 82 (9) (2009)
Khalifa Al-Hosani, Andrey Malinin, Vadim I. Utkin
Sliding mode PID control of buck converters. ECC (2009)