Andrey Malinin

45 papers A* 8A 2C 1Misc 1Journal 22Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Guided Star-Shaped Masked Diffusion. CoRR Viacheslav Meshchaninov, Egor Shibaev, Artem Makoian, Ivan Klimov, Danil Sheshenya, Andrey Malinin, Nikita Balagansky, Daniil Gavrilov, Aibek Alanov, Dmitry P. Vetrov
2025	J	`jnl`	Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation. Comput. Biol. Medicine Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2023	A*	`conf`	Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. NeurIPS Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
2023	J	`jnl`	Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
2023	—	`conf`	Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2023	J	`jnl`	Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2023	—	`conf`	Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2023	J	`jnl`	Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2022	J	`jnl`	Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2022	J	`jnl`	Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR 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
2021	Misc	`conf`	Ensemble Distillation Approaches for Grammatical Error Correction. ICASSP Yassir Fathullah, Mark J. F. Gales, Andrey Malinin
2021	—	`conf`	Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. EMNLP (1) Ivan Provilkov, Andrey Malinin
2021	J	`jnl`	Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. CoRR Ivan Provilkov, Andrey Malinin
2021	A*	`conf`	On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. NeurIPS Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
2021	J	`jnl`	On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. CoRR Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
2021	A*	`conf`	Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. NeurIPS Max Ryabinin, Andrey Malinin, Mark J. F. Gales
2021	J	`jnl`	Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. CoRR Max Ryabinin, Andrey Malinin, Mark J. F. Gales
2021	—	`conf`	Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. CoRR 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
2021	A*	`conf`	Uncertainty Estimation in Autoregressive Structured Prediction. ICLR Andrey Malinin, Mark J. F. Gales
2021	—	`conf`	Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. EMNLP (1) Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic
2021	J	`jnl`	Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. CoRR Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic
2021	A*	`conf`	Uncertainty in Gradient Boosting via Ensembles. ICLR Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko
2020	A	`conf`	Ensemble Approaches for Uncertainty in Spoken Language Assessment. INTERSPEECH Xixin Wu, Kate M. Knill, Mark J. F. Gales, Andrey Malinin
2020	J	`jnl`	Ensemble Distillation Approaches for Grammatical Error Correction. CoRR Yassir Fathullah, Mark J. F. Gales, Andrey Malinin
2020	A*	`conf`	Ensemble Distribution Distillation. ICLR Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
2020	J	`jnl`	Regression Prior Networks. CoRR Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark J. F. Gales
2020	J	`jnl`	Uncertainty in Gradient Boosting via Ensembles. CoRR Aleksei Ustimenko, Liudmila Prokhorenkova, Andrey Malinin
2020	J	`jnl`	Uncertainty in Structured Prediction. CoRR Andrey Malinin, Mark J. F. Gales
2019	J	`jnl`	Ensemble Distribution Distillation. CoRR Andrey Malinin, Bruno Mlodozeniec, Mark J. F. Gales
2019	A*	`conf`	Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. NeurIPS Andrey Malinin, Mark J. F. Gales
2019	J	`jnl`	Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness. CoRR Andrey Malinin, Mark J. F. Gales
2019	—	`—`	Uncertainty estimation in deep learning with application to spoken language assessment. Andrey Malinin
2018	A	`conf`	Impact of ASR Performance on Free Speaking Language Assessment. INTERSPEECH Kate M. Knill, Mark J. F. Gales, Konstantinos Kyriakopoulos, Andrey Malinin, Anton Ragni, Yu Wang, Andrew Caines
2018	—	`conf`	Improved Auto-Marking Confidence for Spoken Language Assessment. SLT Marco Del Vecchio, Andrey Malinin, Mark J. F. Gales
2018	A*	`conf`	Predictive Uncertainty Estimation via Prior Networks. NeurIPS Andrey Malinin, Mark J. F. Gales
2018	J	`jnl`	Predictive Uncertainty Estimation via Prior Networks. CoRR Andrey Malinin, Mark J. F. Gales
2018	J	`jnl`	Prior Networks for Detection of Adversarial Attacks. CoRR Andrey Malinin, Mark J. F. Gales
2018	J	`jnl`	Towards automatic assessment of spontaneous spoken English. Speech Commun. Yu Wang, Mark J. F. Gales, Kate M. Knill, Konstantinos Kyriakopoulos, Andrey Malinin, Rogier C. van Dalen, M. Rashid
2017	C	`conf`	A hierarchical attention based model for off-topic spontaneous spoken response detection. ASRU Andrey Malinin, Kate M. Knill, Mark J. F. Gales
2017	—	`conf`	An attention based model for off-topic spontaneous spoken response detection: An Initial Study. SLaTE Andrey Malinin, Kate M. Knill, Anton Ragni, Yu Wang, Mark J. F. Gales
2017	—	`conf`	Incorporating Uncertainty into Deep Learning for Spoken Language Assessment. ACL (2) Andrey Malinin, Anton Ragni, Kate M. Knill, Mark J. F. Gales
2016	—	`conf`	Off-topic Response Detection for Spontaneous Spoken English Assessment. ACL (1) Andrey Malinin, Rogier C. van Dalen, Kate M. Knill, Yu Wang, Mark J. F. Gales
2009	J	`jnl`	Chattering reduction using multiphase sliding mode control. Int. J. Control Hoon Lee, Vadim I. Utkin, Andrey Malinin
2009	—	`conf`	Sliding mode PID control of buck converters. ECC Khalifa Al-Hosani, Andrey Malinin, Vadim I. Utkin