Razvan Pascanu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2010–2025

Best venue rank

Where they publish

Papers

44 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	Round and Round We Go! What makes Rotary Positional Encodings useful?	Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic
2025	ICLR	Attention as a Hypernetwork.	Simon Schug, Seijin Kobayashi, Yassir Akram, Joo Sacramento, Razvan Pascanu
2025	ICML	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks.	Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pppel, Johannes Brandstetter, Gnter Klambauer, Razvan Pascanu, Sepp Hochreiter
2025	ICML	Softmax is not Enough (for Sharp Size Generalisation).	Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
2024	ICLR	Discovering modular solutions that generalize compositionally.	Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Maria Proca, Johannes von Oswald, Razvan Pascanu, Joo Sacramento, Angelika Steger
2024	ICLR	Kalman Filter for Online Classification of Non-Stationary Data.	Michalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jrg Bornschein
2024	ICML	Improving fine-grained understanding in image-text pre-training.	Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic
2024	ICML	Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues.	Antonio Orvieto, Soham De, Caglar Gulcehre, Razvan Pascanu, Samuel L. Smith
2024	ICML	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem.	Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2023	ICLR	SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations.	Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023	ICLR	Pre-training via Denoising for Molecular Property Prediction.	Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
2023	ICML	Understanding Plasticity in Neural Networks.	Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo vila Pires, Razvan Pascanu, Will Dabney
2023	ICML	Resurrecting Recurrent Neural Networks for Long Sequences.	Antonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, aglar Glehre, Razvan Pascanu, Soham De
2022	ICML	Wide Neural Networks Forget Less Catastrophically.	Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Grr, Mehrdad Farajtabar
2022	ICML	The CLRS Algorithmic Reasoning Benchmark.	Petar Velickovic, Adri Puigdomnech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2022	ICONIP	Correlation Based Semantic Transfer with Application to Domain Adaptation.	Florina-Cristina Calnegru, John Shawe-Taylor, Iasonas Kokkinos, Razvan Pascanu
2021	ICLR	Linear Mode Connectivity in Multitask and Continual Learning.	Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Grr, Razvan Pascanu, Hassan Ghasemzadeh
2021	ICML	Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.	Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu
2020	ICLR	Meta-Learning with Warped Gradient Descent.	Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell
2020	ICLR	Multiplicative Interactions and Where to Find Them.	Siddhant M. Jayakumar, Wojciech M. Czarnecki, Jacob Menick, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu
2020	ICLR	Functional Regularisation for Continual Learning with Gaussian Processes.	Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews, Razvan Pascanu, Yee Whye Teh
2020	ICML	Improving the Gating Mechanism of Recurrent Neural Networks.	Albert Gu, aglar Glehre, Thomas Paine, Matt Hoffman, Razvan Pascanu
2020	ICML	Stabilizing Transformers for Reinforcement Learning.	Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, aglar Glehre, Siddhant M. Jayakumar, Max Jaderberg, Raphal Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
2019	AISTATS	Distilling Policy Distillation.	Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
2019	ICLR	A RAD approach to deep mixture models.	Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle
2019	ICLR	Information asymmetry in KL-regularized RL.	Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
2019	ICLR	Hyperbolic Attention Networks.	aglar Glehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
2019	ICLR	Meta-Learning with Latent Embedding Optimization.	Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2019	ICLR	Deep reinforcement learning with relational inductive biases.	Vincius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia
2018	ICLR	Model compression via distillation and quantization.	Antonio Polino, Razvan Pascanu, Dan Alistarh
2018	ICLR	Memory-based Parameter Adaptation.	Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adri Puigdomnech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018	ICML	Mix & Match Agent Curricula for Reinforcement Learning.	Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu
2018	ICML	Been There, Done That: Meta-Learning with Episodic Recall.	Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick
2018	ICML	Progress & Compress: A scalable framework for continual learning.	Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
2017	CoRL	Sim-to-Real Robot Learning from Pixels with Progressive Nets.	Andrei A. Rusu, Matej Vecerk, Thomas Rothrl, Nicolas Heess, Razvan Pascanu, Raia Hadsell
2017	ICLR	Metacontrol for Adaptive Imagination-Based Optimization.	Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
2017	ICLR	Learning to Navigate in Complex Environments.	Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
2017	ICLR	Discovering objects and their relations from entangled scene representations.	David Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Tim Lillicrap, Peter W. Battaglia
2017	ICML	Sharp Minima Can Generalize For Deep Nets.	Laurent Dinh, Razvan Pascanu, Samy Bengio, Yoshua Bengio
2015	ICASSP	Malware classification with recurrent networks.	Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, Mady Marinescu, Anil Thomas
2013	ICASSP	Advances in optimizing recurrent networks.	Yoshua Bengio, Nicolas Boulanger-Lewandowski, Razvan Pascanu
2013	ICMI	Combining modality specific deep neural networks for emotion recognition in video.	Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, aglar Glehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sbastien 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	ICML	On the difficulty of training recurrent neural networks.	Razvan Pascanu, Toms Mikolov, Yoshua Bengio
2010	ICRA	Extraction of quadrics from noisy point-clouds using a sensor noise model.	Narunas Vaskevicius, Kaustubh Pathak, Razvan Pascanu, Andreas Birk