Roland Memisevic

According to our database, Roland Memisevic authored at least 65 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits.

Ashish Khisti, Mohammadreza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos

CoRR, 2024

AirLetters: An Open Video Dataset of Characters Drawn in the Air.

Rishit Dagli, Guillaume Berger, Joanna Materzynska, Ingo Bax, Roland Memisevic

CoRR, 2024

Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers.

MohammadReza Ebrahimi, Sunny Panchal, Roland Memisevic

CoRR, 2024

Live Fitness Coaching as a Testbed for Situated Interaction.

Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic

CoRR, 2024

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction.

Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ClevrSkills: Compositional Language And Visual Reasoning in Robotics.

Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models.

Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.

Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su

CoRR, 2023

Look, Remember and Reason: Visual Reasoning with Grounded Rationales.

Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic

CoRR, 2023

Is end-to-end learning enough for fitness activity recognition?

Antoine Mercier, Guillaume Berger, Sunny Panchal, Florian Letsch, Cornelius Böhm, Nahua Kang, Ingo Bax, Roland Memisevic

CoRR, 2023

Deductive Verification of Chain-of-Thought Reasoning.

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Painter: Teaching Auto-regressive Language Models to Draw Sketches.

Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Metaphors We Learn By.

Roland Memisevic

CoRR, 2022

2019

The Jester Dataset: A Large-Scale Video Dataset of Human Gestures.

Joanna Materzynska, Guillaume Berger, Ingo Bax, Roland Memisevic

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Fine-grained Video Classification and Captioning.

Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David J. Fleet, Roland Memisevic

CoRR, 2018

Evaluating visual "common sense" using fine-grained classification and captioning tasks.

Raghav Goyal, Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, Ingo Bax, Roland Memisevic

Proceedings of the 6th International Conference on Learning Representations, 2018

Hierarchical Video Understanding.

Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Incorporating long-range consistency in CNN-based texture generation.

Guillaume Berger, Roland Memisevic

Proceedings of the 5th International Conference on Learning Representations, 2017

The "Something Something" Video Database for Learning and Evaluating Visual Common Sense.

Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fründ, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic

Proceedings of the IEEE International Conference on Computer Vision, 2017

RATM: Recurrent Attentive Tracking Model.

Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Denoising Criterion for Variational Auto-Encoding Framework.

Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

EmoNets: Multimodal deep learning approaches for emotion recognition in video.

Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher Joseph Pal, Yoshua Bengio

J. Multimodal User Interfaces, 2016

Neural Networks with Few Multiplications.

Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio

Proceedings of the 4th International Conference on Learning Representations, 2016

Regularizing RNNs by Stabilizing Activations.

David Krueger, Roland Memisevic

Proceedings of the 4th International Conference on Learning Representations, 2016

Generating images with recurrent adversarial networks.

Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic

CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

Architectural Complexity Measures of Recurrent Neural Networks.

Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Learning Vector Quantization.

Harm de Vries, Roland Memisevic, Aaron C. Courville

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Conservativeness of Untied Auto-Encoders.

Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

The Potential Energy of an Autoencoder.

Hanna Kamyshanska, Roland Memisevic

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Zero-bias autoencoders and the benefits of co-adapting features.

Roland Memisevic, Kishore Reddy Konda, David Krueger

Proceedings of the 3rd International Conference on Learning Representations, 2015

How far can we go without convolution: Improving fully-connected networks.

Zhouhan Lin, Roland Memisevic, Kishore Reddy Konda

CoRR, 2015

Dropout as data augmentation.

Kishore Reddy Konda, Xavier Bouthillier, Roland Memisevic, Pascal Vincent

CoRR, 2015

RATM: Recurrent Attentive Tracking Model.

Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic

CoRR, 2015

Montreal Neural Machine Translation Systems for WMT'15.

Sébastien Jean, Orhan Firat, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio

Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Learning Visual Odometry with a Convolutional Network.

Kishore Reddy Konda, Roland Memisevic

Proceedings of the VISAPP 2015, 2015

Recurrent Neural Networks for Emotion Recognition in Video.

Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Deep learning: Architectures, algorithms, applications.

Roland Memisevic

Proceedings of the 2015 IEEE Hot Chips 27 Symposium (HCS), 2015

Real-time activity recognition via deep learning of motion features.

Kishore Konda, Pramod Chandrashekhariah, Roland Memisevic, Jochen Triesch

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

On Using Very Large Target Vocabulary for Neural Machine Translation.

Sébastien Jean, KyungHyun Cho, Roland Memisevic, Yoshua Bengio

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Modeling sequential data using higher-order relational features and predictive training.

Vincent Michalski, Roland Memisevic, Kishore Reddy Konda

CoRR, 2014

The role of spatio-temporal synchrony in the encoding of motion.

Kishore Reddy Konda, Roland Memisevic, Vincent Michalski

Proceedings of the 2nd International Conference on Learning Representations, 2014

Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells".

Vincent Michalski, Roland Memisevic, Kishore Reddy Konda

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A unified approach to learning depth and motion features.

Kishore Reddy Konda, Roland Memisevic

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013

Learning to Relate Images.

Roland Memisevic

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Feature grouping from spatially constrained multiplicative interaction

Felix Bauer, Roland Memisevic

Proceedings of the 1st International Conference on Learning Representations, 2013

Unsupervised learning of depth and motion.

Kishore Reddy Konda, Roland Memisevic

CoRR, 2013

Learning invariant features by harnessing the aperture problem.

Roland Memisevic, Georgios Exarchakis

Proceedings of the 30th International Conference on Machine Learning, 2013

On autoencoder scoring.

Hanna Kamyshanska, Roland Memisevic

Proceedings of the 30th International Conference on Machine Learning, 2013

Combining modality specific deep neural networks for emotion recognition in video.

Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

2012

Shared Kernel Information Embedding for Discriminative Inference.

Roland Memisevic, Leonid Sigal, David J. Fleet

IEEE Trans. Pattern Anal. Mach. Intell., 2012

On multi-view feature learning.

Roland Memisevic

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces

Roland Memisevic

CoRR, 2011

Gradient-based learning of higher-order image features.

Roland Memisevic

Proceedings of the IEEE International Conference on Computer Vision, 2011

Modeling the joint density of two images under a variety of transformations.

Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines.

Roland Memisevic, Geoffrey E. Hinton

Neural Comput., 2010

Gated Softmax Classification.

Roland Memisevic, Christopher Zach, Geoffrey E. Hinton, Marc Pollefeys

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008

Non-linear Latent Factor Models for Revealing Structure in High-dimensional Data.

Roland Memisevic

PhD thesis, 2008

2007

Unsupervised Learning of Image Transformations.

Roland Memisevic, Geoffrey E. Hinton

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Learning to Solve QBF.

Horst Samulowitz, Roland Memisevic

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Kernel information embeddings.

Roland Memisevic

Proceedings of the Machine Learning, 2006

2005

Principal Surfaces from Unsupervised Kernel Regression.

Peter Meinicke, Stefan Klanke, Roland Memisevic, Helge J. Ritter

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Improving dimensionality reduction with spectral gradient descent.

Roland Memisevic, Geoffrey E. Hinton

Neural Networks, 2005

Embedding via clustering: using spectral information to guide dimensionality reduction.

Roland Memisevic, Geoffrey E. Hinton

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

2004

Multiple Relational Embedding.

Roland Memisevic, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004