EEG dimensionality reduction in automatic identification of synonymy. - Emilio Parisotto; Youness Aliyari Ghassabeh; Siamak Freydoonnejad; Frank Rudzicz (ICASSP, 2015)

Automatic identification of received language in MEG. - Emilio Parisotto; Youness Aliyari Ghassabeh; Matt J. MacDonald; Adelina Cozma; Elizabeth W. Pang; Frank Rudzicz (INTERSPEECH, 2015)

Generating Images from Captions with Attention. - Elman Mansimov; Emilio Parisotto; Lei Jimmy Ba; Ruslan Salakhutdinov (ICLR, 2016)

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning. - Emilio Parisotto; Lei Jimmy Ba; Ruslan Salakhutdinov (ICLR (Poster), 2016)

Neuro-Symbolic Program Synthesis. - Emilio Parisotto; Abdel-rahman Mohamed; Rishabh Singh; Lihong Li 001; Dengyong Zhou; Pushmeet Kohli (ICLR (Poster), 2017)

Global Pose Estimation With an Attention-Based Recurrent Network. - Emilio Parisotto; Devendra Singh Chaplot; Jian Zhang 050; Ruslan Salakhutdinov (CVPR Workshops, 2018)

Active Neural Localization. - Devendra Singh Chaplot; Emilio Parisotto; Ruslan Salakhutdinov (ICLR (Poster), 2018)

LSTM Iteration Networks: An Exploration of Differentiable Path Finding. - Lisa Lee; Emilio Parisotto; Devendra Singh Chaplot; Ruslan Salakhutdinov (ICLR (Workshop), 2018)

Neural Map: Structured Memory for Deep Reinforcement Learning. - Emilio Parisotto; Ruslan Salakhutdinov (ICLR (Poster), 2018)

Gated Path Planning Networks. - Lisa Lee; Emilio Parisotto; Devendra Singh Chaplot; Eric P. Xing; Ruslan Salakhutdinov (ICML, 2018)

Concurrent Meta Reinforcement Learning. - Emilio Parisotto; Soham Ghosh; Sai Bhargav Yalamanchi; Varsha Chinnaobireddy; Yuhuai Wu; Ruslan Salakhutdinov (CoRR, 2019)

Efficient Exploration via State Marginal Matching. - Lisa Lee; Benjamin Eysenbach; Emilio Parisotto; Eric P. Xing; Sergey Levine; Ruslan Salakhutdinov (CoRR, 2019)

Stabilizing Transformers for Reinforcement Learning. - Emilio Parisotto; H. Francis Song; Jack W. Rae; Razvan Pascanu; Çaglar Gülçehre; Siddhant M. Jayakumar; Max Jaderberg; Raphaël Lopez Kaufman; Aidan Clark; Seb Noury; Matthew M. Botvinick; Nicolas Heess; et al. (ICML, 2020)

The Hanabi challenge: A new frontier for AI research. - Nolan Bard; Jakob N. Foerster; Sarath Chandar; Neil Burch; Marc Lanctot; H. Francis Song; Emilio Parisotto; Vincent Dumoulin; Subhodeep Moitra; Edward Hughes 001; Iain Dunning; Shibl Mourad; et al. (Artif. Intell., 2020)

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation. - Emilio Parisotto; Ruslan Salakhutdinov (ICLR, 2021)

On Proximal Policy Optimization's Heavy-tailed Gradients. - Saurabh Garg; Joshua Zhanson; Emilio Parisotto; Adarsh Prasad; J. Zico Kolter; Zachary C. Lipton; Sivaraman Balakrishnan; Ruslan Salakhutdinov; Pradeep Ravikumar (ICML, 2021)

Shaking the foundations: delusions in sequence models for interaction and control. - Pedro A. Ortega; Markus Kunesch; Grégoire Delétang; Tim Genewein; Jordi Grau-Moya; Joel Veness; Jonas Buchli; Jonas Degrave; Bilal Piot; Julien Pérolat; Tom Everitt; Corentin Tallec; et al. (CoRR, 2021)

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. - Steven Bohez; Saran Tunyasuvunakool; Philemon Brakel; Fereshteh Sadeghi; Leonard Hasenclever; Yuval Tassa; Emilio Parisotto; Jan Humplik; Tuomas Haarnoja; Roland Hafner; Markus Wulfmeier; Michael Neunert; et al. (CoRR, 2022)

A Generalist Agent. - Scott E. Reed; Konrad Zolna; Emilio Parisotto; Sergio Gómez Colmenarejo; Alexander Novikov 001; Gabriel Barth-Maron; Mai Gimenez; Yury Sulsky; Jackie Kay; Jost Tobias Springenberg; Tom Eccles; Jake Bruce; et al. (Trans. Mach. Learn. Res., 2022)

Meta Reinforcement Learning through Memory - Emilio Parisotto (2022)

In-context Reinforcement Learning with Algorithm Distillation. - Michael Laskin; Luyu Wang; Junhyuk Oh; Emilio Parisotto; Stephen Spencer; Richie Steigerwald; DJ Strouse; Steven Stenberg Hansen; Angelos Filos; Ethan Brooks; Maxime Gazeau; Himanshu Sahni; et al. (ICLR, 2023)

Structured State Space Models for In-Context Reinforcement Learning. - Chris Lu 001; Yannick Schroecker; Albert Gu; Emilio Parisotto; Jakob N. Foerster; Satinder Singh 001; Feryal M. P. Behbahani (NeurIPS, 2023)

A Generalist Dynamics Model for Control. - Ingmar Schubert; Jingwei Zhang 001; Jake Bruce; Sarah Bechtle; Emilio Parisotto; Martin A. Riedmiller; Jost Tobias Springenberg; Arunkumar Byravan; Leonard Hasenclever; Nicolas Heess (CoRR, 2023)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Manon Devin; Alex X. Lee; Maria Bauzá Villalonga; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (Trans. Mach. Learn. Res., 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)