Roland Memisevic

89 papers A* 18B 5Journal 45Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Out-of-Distribution Detection to Hallucination Detection: A Geometric View. CoRR Litian Liu, Reza Pourreza, Yubing Jian, Ya-Qin Zhang, Roland Memisevic
2026	J	`jnl`	Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks. CoRR Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic
2026	J	`jnl`	On the "Induction Bias" in Sequence Models. CoRR M. Reza Ebrahimi, Michaël Defferrard, Sunny Panchal, Roland Memisevic
2025	J	`jnl`	Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? CoRR Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh, Reza Pourreza, Litian Liu, Sunny Panchal, Pulkit Madan, Leonid Sigal, Roland Memisevic
2025	J	`jnl`	Can Vision-Language Models Answer Face to Face Questions in the Real-World? CoRR Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya, Sunny Panchal, Guillaume Berger, Roland Memisevic
2025	J	`jnl`	Delayed Attention Training Improves Length Generalization in Transformer-RNN Hybrids. CoRR Buu Phan, Reza Ebrahimi, Sanjay Haresh, Roland Memisevic
2025	J	`jnl`	Enhancing Hallucination Detection through Noise Injection. CoRR Litian Liu, Reza Pourreza, Sunny Panchal, Apratim Bhattacharyya, Ya-Qin Zhang, Roland Memisevic
2025	A*	`conf`	Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits. ICLR Ashish J. Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos
2025	J	`jnl`	Replacing thinking with tool usage enables reasoning in small language models. CoRR Corrado Rainone, Tim Bakker, Roland Memisevic
2025	J	`jnl`	Revisiting Bi-Linear State Transitions in Recurrent Neural Networks. CoRR MohammadReza Ebrahimi, Roland Memisevic
2024	J	`jnl`	AirLetters: An Open Video Dataset of Characters Drawn in the Air. CoRR Rishit Dagli, Guillaume Berger, Joanna Materzynska, Ingo Bax, Roland Memisevic
2024	A*	`conf`	ClevrSkills: Compositional Language And Visual Reasoning in Robotics. NeurIPS Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic
2024	J	`jnl`	ClevrSkills: Compositional Language and Visual Reasoning in Robotics. CoRR Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic
2024	J	`jnl`	Live Fitness Coaching as a Testbed for Situated Interaction. CoRR 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
2024	A*	`conf`	Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. ICLR Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic
2024	J	`jnl`	Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits. CoRR Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk, Arash Behboodi, Roland Memisevic, Christos Louizos
2024	A*	`conf`	What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction. NeurIPS 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
2024	J	`jnl`	Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers. CoRR MohammadReza Ebrahimi, Sunny Panchal, Roland Memisevic
2024	—	`conf`	✉ AirLetters 💨: An Open Vide 🎞 Dataset of Characters Drawn in the Air. ECCV Workshops (14) Rishit Dagli, Guillaume Berger, Joanna Materzynska, Ingo Bax, Roland Memisevic
2023	A*	`conf`	Deductive Verification of Chain-of-Thought Reasoning. NeurIPS Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
2023	J	`jnl`	Deductive Verification of Chain-of-Thought Reasoning. CoRR Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
2023	J	`jnl`	Is end-to-end learning enough for fitness activity recognition? CoRR Antoine Mercier, Guillaume Berger, Sunny Panchal, Florian Letsch, Cornelius Böhm, Nahua Kang, Ingo Bax, Roland Memisevic
2023	J	`jnl`	Look, Remember and Reason: Visual Reasoning with Grounded Rationales. CoRR Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic
2023	—	`conf`	Painter: Teaching Auto-regressive Language Models to Draw Sketches. ICCV (Workshops) Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic
2023	J	`jnl`	Painter: Teaching Auto-regressive Language Models to Draw Sketches. CoRR Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic
2023	J	`jnl`	Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. CoRR Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su
2022	J	`jnl`	Metaphors We Learn By. CoRR Roland Memisevic
2019	—	`conf`	The Jester Dataset: A Large-Scale Video Dataset of Human Gestures. ICCV Workshops Joanna Materzynska, Guillaume Berger, Ingo Bax, Roland Memisevic
2018	—	`conf`	Evaluating visual "common sense" using fine-grained classification and captioning tasks. ICLR (Workshop) Raghav Goyal, Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, Ingo Bax, Roland Memisevic
2018	J	`jnl`	Fine-grained Video Classification and Captioning. CoRR Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David J. Fleet, Roland Memisevic
2018	—	`conf`	Hierarchical Video Understanding. ECCV Workshops (4) Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet
2018	J	`jnl`	Hierarchical Video Understanding. CoRR Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet
2017	A*	`conf`	Denoising Criterion for Variational Auto-Encoding Framework. AAAI Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
2017	—	`conf`	Incorporating long-range consistency in CNN-based texture generation. ICLR (Poster) Guillaume Berger, Roland Memisevic
2017	—	`conf`	RATM: Recurrent Attentive Tracking Model. CVPR Workshops Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent
2017	A*	`conf`	The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. ICCV 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
2017	J	`jnl`	The "something something" video database for learning and evaluating visual common sense. CoRR 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
2016	—	`conf`	Architectural Complexity Measures of Recurrent Neural Networks. NIPS Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio
2016	J	`jnl`	Architectural Complexity Measures of Recurrent Neural Networks. CoRR Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio
2016	A*	`conf`	Conservativeness of Untied Auto-Encoders. AAAI Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic
2016	B	`conf`	Deep Learning Vector Quantization. ESANN Harm de Vries, Roland Memisevic, Aaron C. Courville
2016	J	`jnl`	EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 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
2016	J	`jnl`	Generating images with recurrent adversarial networks. CoRR Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic
2016	J	`jnl`	Incorporating long-range consistency in CNN-based texture generation. CoRR Guillaume Berger, Roland Memisevic
2016	A*	`conf`	Neural Networks with Few Multiplications. ICLR Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio
2016	A*	`conf`	Regularizing RNNs by Stabilizing Activations. ICLR David Krueger, Roland Memisevic
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR 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
2015	J	`jnl`	Conservativeness of untied auto-encoders. CoRR Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic
2015	—	`conf`	Deep learning: Architectures, algorithms, applications. Hot Chips Symposium Roland Memisevic
2015	J	`jnl`	Denoising Criterion for Variational Auto-Encoding Framework. CoRR Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio
2015	J	`jnl`	Dropout as data augmentation. CoRR Kishore Reddy Konda, Xavier Bouthillier, Roland Memisevic, Pascal Vincent
2015	J	`jnl`	EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Reddy 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 J. Pal, Yoshua Bengio
2015	J	`jnl`	How far can we go without convolution: Improving fully-connected networks. CoRR Zhouhan Lin, Roland Memisevic, Kishore Reddy Konda
2015	—	`conf`	Learning Visual Odometry with a Convolutional Network. VISAPP (1) Kishore Reddy Konda, Roland Memisevic
2015	—	`conf`	Montreal Neural Machine Translation Systems for WMT'15. WMT@EMNLP Sébastien Jean, Orhan Firat, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio
2015	—	`conf`	On Using Very Large Target Vocabulary for Neural Machine Translation. ACL (1) Sébastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio
2015	J	`jnl`	RATM: Recurrent Attentive Tracking Model. CoRR Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic
2015	B	`conf`	Real-time activity recognition via deep learning of motion features. ESANN Kishore Konda, Pramod Chandrashekhariah, Roland Memisevic, Jochen Triesch
2015	B	`conf`	Recurrent Neural Networks for Emotion Recognition in Video. ICMI Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal
2015	J	`jnl`	The Potential Energy of an Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. Hanna Kamyshanska, Roland Memisevic
2015	—	`conf`	Zero-bias autoencoders and the benefits of co-adapting features. ICLR (Poster) Roland Memisevic, Kishore Reddy Konda, David Krueger
2014	—	`conf`	A unified approach to learning depth and motion features. ICVGIP Kishore Reddy Konda, Roland Memisevic
2014	—	`conf`	Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells". NIPS Vincent Michalski, Roland Memisevic, Kishore Reddy Konda
2014	J	`jnl`	Modeling sequential data using higher-order relational features and predictive training. CoRR Vincent Michalski, Roland Memisevic, Kishore Reddy Konda
2014	J	`jnl`	On Using Very Large Target Vocabulary for Neural Machine Translation. CoRR Sébastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio
2014	—	`conf`	The role of spatio-temporal synchrony in the encoding of motion. ICLR (Poster) Kishore Reddy Konda, Roland Memisevic, Vincent Michalski
2013	B	`conf`	Combining modality specific deep neural networks for emotion recognition in video. ICMI 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
2013	A*	`conf`	Feature grouping from spatially constrained multiplicative interaction ICLR Felix Bauer, Roland Memisevic
2013	—	`conf`	Learning invariant features by harnessing the aperture problem. ICML (3) Roland Memisevic, Georgios Exarchakis
2013	J	`jnl`	Learning to Relate Images. IEEE Trans. Pattern Anal. Mach. Intell. Roland Memisevic
2013	—	`conf`	On autoencoder scoring. ICML (3) Hanna Kamyshanska, Roland Memisevic
2013	J	`jnl`	Unsupervised learning of depth and motion. CoRR Kishore Reddy Konda, Roland Memisevic
2012	J	`jnl`	On multi-view feature learning CoRR Roland Memisevic
2012	A*	`conf`	On multi-view feature learning. ICML Roland Memisevic
2012	J	`jnl`	Shared Kernel Information Embedding for Discriminative Inference. IEEE Trans. Pattern Anal. Mach. Intell. Roland Memisevic, Leonid Sigal, David J. Fleet
2011	A*	`conf`	Gradient-based learning of higher-order image features. ICCV Roland Memisevic
2011	J	`jnl`	Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces CoRR Roland Memisevic
2011	A*	`conf`	Modeling the joint density of two images under a variety of transformations. CVPR Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys
2010	—	`conf`	Gated Softmax Classification. NIPS Roland Memisevic, Christopher Zach, Geoffrey E. Hinton, Marc Pollefeys
2010	J	`jnl`	Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines. Neural Comput. Roland Memisevic, Geoffrey E. Hinton
2009	A*	`conf`	Shared Kernel Information Embedding for discriminative inference. CVPR Leonid Sigal, Roland Memisevic, David J. Fleet
2008	—	`—`	Non-linear Latent Factor Models for Revealing Structure in High-dimensional Data. Roland Memisevic
2007	A*	`conf`	Learning to Solve QBF. AAAI Horst Samulowitz, Roland Memisevic
2007	A*	`conf`	Unsupervised Learning of Image Transformations. CVPR Roland Memisevic, Geoffrey E. Hinton
2006	A*	`conf`	Kernel information embeddings. ICML Roland Memisevic
2005	B	`conf`	Embedding via clustering: using spectral information to guide dimensionality reduction. IJCNN Roland Memisevic, Geoffrey E. Hinton
2005	J	`jnl`	Improving dimensionality reduction with spectral gradient descent. Neural Networks Roland Memisevic, Geoffrey E. Hinton
2005	J	`jnl`	Principal Surfaces from Unsupervised Kernel Regression. IEEE Trans. Pattern Anal. Mach. Intell. Peter Meinicke, Stefan Klanke, Roland Memisevic, Helge J. Ritter
2004	—	`conf`	Multiple Relational Embedding. NIPS Roland Memisevic, Geoffrey E. Hinton