Multiple Relational Embedding. - Roland Memisevic; Geoffrey E. Hinton (NIPS, 2004)

Embedding via clustering: using spectral information to guide dimensionality reduction. - Roland Memisevic; Geoffrey E. Hinton (IJCNN, 2005)

Improving dimensionality reduction with spectral gradient descent. - Roland Memisevic; Geoffrey E. Hinton (Neural Networks, 2005)

Principal Surfaces from Unsupervised Kernel Regression. - Peter Meinicke; Stefan Klanke; Roland Memisevic; Helge J. Ritter (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Kernel information embeddings. - Roland Memisevic (ICML, 2006)

Learning to Solve QBF. - Horst Samulowitz; Roland Memisevic (AAAI, 2007)

Unsupervised Learning of Image Transformations. - Roland Memisevic; Geoffrey E. Hinton (CVPR, 2007)

Non-linear Latent Factor Models for Revealing Structure in High-dimensional Data. - Roland Memisevic (2008)

Gated Softmax Classification. - Roland Memisevic; Christopher Zach; Geoffrey E. Hinton; Marc Pollefeys (NIPS, 2010)

Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines. - Roland Memisevic; Geoffrey E. Hinton (Neural Comput., 2010)

Modeling the joint density of two images under a variety of transformations. - Joshua M. Susskind; Geoffrey E. Hinton; Roland Memisevic; Marc Pollefeys (CVPR, 2011)

Gradient-based learning of higher-order image features. - Roland Memisevic (ICCV, 2011)

Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces - Roland Memisevic (CoRR, 2011)

On multi-view feature learning. - Roland Memisevic (ICML, 2012)

Shared Kernel Information Embedding for Discriminative Inference. - Roland Memisevic; Leonid Sigal; David J. Fleet (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

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; et al. (ICMI, 2013)

On autoencoder scoring. - Hanna Kamyshanska; Roland Memisevic (ICML (3), 2013)

Learning invariant features by harnessing the aperture problem. - Roland Memisevic; Georgios Exarchakis (ICML (3), 2013)

Unsupervised learning of depth and motion. - Kishore Reddy Konda; Roland Memisevic (CoRR, 2013)

Feature grouping from spatially constrained multiplicative interaction - Felix Bauer; Roland Memisevic (ICLR, 2013)

Learning to Relate Images. - Roland Memisevic (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A unified approach to learning depth and motion features. - Kishore Reddy Konda; Roland Memisevic (ICVGIP, 2014)

Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells". - Vincent Michalski; Roland Memisevic; Kishore Reddy Konda (NIPS, 2014)

The role of spatio-temporal synchrony in the encoding of motion. - Kishore Reddy Konda; Roland Memisevic; Vincent Michalski (ICLR (Poster), 2014)

Modeling sequential data using higher-order relational features and predictive training. - Vincent Michalski; Roland Memisevic; Kishore Reddy Konda (CoRR, 2014)

On Using Very Large Target Vocabulary for Neural Machine Translation. - Sébastien Jean; KyungHyun Cho; Roland Memisevic; Yoshua Bengio (ACL (1), 2015)

Real-time activity recognition via deep learning of motion features. - Kishore Konda; Pramod Chandrashekhariah; Roland Memisevic; Jochen Triesch (ESANN, 2015)

Deep learning: Architectures, algorithms, applications. - Roland Memisevic (Hot Chips Symposium, 2015)

Recurrent Neural Networks for Emotion Recognition in Video. - Samira Ebrahimi Kahou; Vincent Michalski; Kishore Reddy Konda; Roland Memisevic; Christopher Joseph Pal (ICMI, 2015)

Learning Visual Odometry with a Convolutional Network. - Kishore Reddy Konda; Roland Memisevic (VISAPP (1), 2015)

Montreal Neural Machine Translation Systems for WMT'15. - Sébastien Jean; Orhan Firat; Kyunghyun Cho; Roland Memisevic; Yoshua Bengio (WMT@EMNLP, 2015)

RATM: Recurrent Attentive Tracking Model. - Samira Ebrahimi Kahou; Vincent Michalski; Roland Memisevic (CoRR, 2015)

Dropout as data augmentation. - Kishore Reddy Konda; Xavier Bouthillier; Roland Memisevic; Pascal Vincent (CoRR, 2015)

How far can we go without convolution: Improving fully-connected networks. - Zhouhan Lin; Roland Memisevic; Kishore Reddy Konda (CoRR, 2015)

Zero-bias autoencoders and the benefits of co-adapting features. - Roland Memisevic; Kishore Reddy Konda; David Krueger 001 (ICLR (Poster), 2015)

The Potential Energy of an Autoencoder. - Hanna Kamyshanska; Roland Memisevic (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Conservativeness of Untied Auto-Encoders. - Daniel Jiwoong Im; Mohamed Ishmael Diwan Belghazi; Roland Memisevic (AAAI, 2016)

Deep Learning Vector Quantization. - Harm de Vries; Roland Memisevic; Aaron C. Courville (ESANN, 2016)

Architectural Complexity Measures of Recurrent Neural Networks. - Saizheng Zhang; Yuhuai Wu; Tong Che; Zhouhan Lin; Roland Memisevic; Ruslan Salakhutdinov; Yoshua Bengio (NIPS, 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; et al. (CoRR, 2016)

Generating images with recurrent adversarial networks. - Daniel Jiwoong Im; Chris Dongjoo Kim; Hui Jiang; Roland Memisevic (CoRR, 2016)

Regularizing RNNs by Stabilizing Activations. - David Krueger 001; Roland Memisevic (ICLR, 2016)

Neural Networks with Few Multiplications. - Zhouhan Lin; Matthieu Courbariaux; Roland Memisevic; Yoshua Bengio (ICLR, 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; et al. (J. Multimodal User Interfaces, 2016)

Denoising Criterion for Variational Auto-Encoding Framework. - Daniel Jiwoong Im; Sungjin Ahn; Roland Memisevic; Yoshua Bengio (AAAI, 2017)

RATM: Recurrent Attentive Tracking Model. - Samira Ebrahimi Kahou; Vincent Michalski; Roland Memisevic; Christopher Joseph Pal; Pascal Vincent (CVPR Workshops, 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; et al. (ICCV, 2017)

Incorporating long-range consistency in CNN-based texture generation. - Guillaume Berger; Roland Memisevic (ICLR (Poster), 2017)

Hierarchical Video Understanding. - Farzaneh Mahdisoltani; Roland Memisevic; David J. Fleet (ECCV Workshops (4), 2018)

Evaluating visual "common sense" using fine-grained classification and captioning tasks. - Raghav Goyal; Farzaneh Mahdisoltani; Guillaume Berger; Waseem Gharbieh; Ingo Bax; Roland Memisevic (ICLR (Workshop), 2018)

Fine-grained Video Classification and Captioning. - Farzaneh Mahdisoltani; Guillaume Berger; Waseem Gharbieh; David J. Fleet; Roland Memisevic (CoRR, 2018)

The Jester Dataset: A Large-Scale Video Dataset of Human Gestures. - Joanna Materzynska; Guillaume Berger; Ingo Bax; Roland Memisevic (ICCV Workshops, 2019)

Metaphors We Learn By. - Roland Memisevic (CoRR, 2022)

Painter: Teaching Auto-regressive Language Models to Draw Sketches. - Reza Pourreza 002; Apratim Bhattacharyya; Sunny Panchal; Mingu Lee; Pulkit Madan; Roland Memisevic (ICCV (Workshops), 2023)

Deductive Verification of Chain-of-Thought Reasoning. - Zhan Ling; Yunhao Fang; Xuanlin Li; Zhiao Huang; Mingu Lee; Roland Memisevic; Hao Su 001 (NeurIPS, 2023)

Is end-to-end learning enough for fitness activity recognition? - Antoine Mercier 005; Guillaume Berger; Sunny Panchal; Florian Letsch; Cornelius Böhm; Nahua Kang; Ingo Bax; Roland Memisevic (CoRR, 2023)

Look, Remember and Reason: Visual Reasoning with Grounded Rationales. - Apratim Bhattacharyya; Sunny Panchal; Mingu Lee; Reza Pourreza 002; Pulkit Madan; Roland Memisevic (CoRR, 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 002; Roland Memisevic; Hao Su 001 (CoRR, 2023)

[inline-graphic not available: see fulltext] AirLetters [inline-graphic not available: see fulltext] : An Open Vide [inline-graphic not available: see fulltext] Dataset of Characters Drawn in the Air. - Rishit Dagli; Guillaume Berger; Joanna Materzynska; Ingo Bax; Roland Memisevic (ECCV Workshops (14), 2024)

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. - Apratim Bhattacharyya; Sunny Panchal; Reza Pourreza 002; Mingu Lee; Pulkit Madan; Roland Memisevic (ICLR, 2024)

ClevrSkills: Compositional Language And Visual Reasoning in Robotics. - Sanjay Haresh; Daniel Dijkman; Apratim Bhattacharyya; Roland Memisevic (NeurIPS, 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 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (NeurIPS, 2024)

Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (CoRR, 2024)

Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers. - MohammadReza Ebrahimi 002; Sunny Panchal; Roland Memisevic (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)

Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits. - Ashish Khisti; MohammadReza Ebrahimi 002; Hassan Dbouk; Arash Behboodi; Roland Memisevic; Christos Louizos (CoRR, 2024)

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits. - Ashish J. Khisti; MohammadReza Ebrahimi 002; Hassan Dbouk; Arash Behboodi; Roland Memisevic; Christos Louizos (ICLR, 2025)

Enhancing Hallucination Detection through Noise Injection. - Litian Liu; Reza Pourreza 002; Sunny Panchal; Apratim Bhattacharyya; Ya-Qin Zhang; Roland Memisevic (CoRR, 2025)

Can Vision-Language Models Answer Face to Face Questions in the Real-World? - Reza Pourreza 002; Rishit Dagli; Apratim Bhattacharyya; Sunny Panchal; Guillaume Berger; Roland Memisevic (CoRR, 2025)

Revisiting Bi-Linear State Transitions in Recurrent Neural Networks. - MohammadReza Ebrahimi 002; Roland Memisevic (CoRR, 2025)

Replacing thinking with tool usage enables reasoning in small language models. - Corrado Rainone; Tim Bakker; Roland Memisevic (CoRR, 2025)