What You Get Is What You See: A Visual Markup Decompiler. - Yuntian Deng; Anssi Kanervisto; Alexander M. Rush (CoRR, 2016)

Effects of gender information in text-independent and text-dependent speaker verification. - Anssi Kanervisto; Ville Vestman; Md. Sahidullah; Ville Hautamäki; Tomi Kinnunen (ICASSP, 2017)

Image-to-Markup Generation with Coarse-to-Fine Attention. - Yuntian Deng; Anssi Kanervisto; Jeffrey Ling; Alexander M. Rush (ICML, 2017)

The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. - Kong-Aik Lee; Ville Hautamäki; Tomi Kinnunen; Anthony Larcher; Chunlei Zhang; Andreas Nautsch; Themos Stafylakis; Gang Liu 001; Mickaël Rouvier; Wei Rao 002; Federico Alegre; J. Ma; et al. (INTERSPEECH, 2017)

Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks. - Tomi Leppanen; Hana Vrzakova; Roman Bednarik; Anssi Kanervisto; Antti-Pekka Elomaa; Antti Huotarinen; Piotr Bartczak; Mikael von und zu Fraunberg; Juha E. Jääskeläinen (CBMS, 2018)

Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. - Rosa González Hautamäki; Anssi Kanervisto; Ville Hautamäki; Tomi Kinnunen (Odyssey, 2018)

ToriLLE: Learning Environment for Hand-to-Hand Combat. - Anssi Kanervisto; Ville Hautamäki (CoG, 2019)

Who Do I Sound like? Showcasing Speaker Recognition Technology by Youtube Voice Search. - Ville Vestman; Bilal Soomro; Anssi Kanervisto; Ville Hautamäki; Tomi Kinnunen (ICASSP, 2019)

Towards Debugging Deep Neural Networks by Generating Speech Utterances. - Bilal Soomro; Anssi Kanervisto; Trung Ngo Trong; Ville Hautamäki (INTERSPEECH, 2019)

Playing Minecraft with Behavioural Cloning. - Anssi Kanervisto; Janne Karttunen; Ville Hautamäki (NeurIPS (Competition and Demos), 2019)

Do Autonomous Agents Benefit from Hearing? - Abraham Woubie; Anssi Kanervisto; Janne Karttunen; Ville Hautamäki (CoRR, 2019)

Benchmarking End-to-End Behavioural Cloning on Video Games. - Anssi Kanervisto; Joonas Pussinen; Ville Hautamäki (CoG, 2020)

Action Space Shaping in Deep Reinforcement Learning. - Anssi Kanervisto; Christian Scheller; Ville Hautamäki (CoG, 2020)

From Video Game to Real Robot: The Transfer Between Action Spaces. - Janne Karttunen; Anssi Kanervisto; Ville Kyrki; Ville Hautamäki (ICASSP, 2020)

Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (NeurIPS (Competition and Demos), 2020)

An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning. - Anssi Kanervisto; Ville Hautamäki; Tomi Kinnunen; Junichi Yamagishi (Odyssey, 2020)

Policy Supervectors: General Characterization of Agents by their Behaviour. - Anssi Kanervisto; Tomi Kinnunen; Ville Hautamäki (CoRR, 2020)

Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. - Shashank Hegde; Anssi Kanervisto; Aleksei Petrenko (CoG, 2021)

Distilling Reinforcement Learning Tricks for Video Games. - Anssi Kanervisto; Christian Scheller; Yanick Schraner; Ville Hautamäki (CoG, 2021)

Multi-Task Learning With Attention for End-to-End Autonomous Driving. - Keishi Ishihara; Anssi Kanervisto; Jun Miura; Ville Hautamäki (CVPR Workshops, 2021)

Insights From the NeurIPS 2021 NetHack Challenge. - Eric Hambro; Sharada P. Mohanty; Dmitrii Babaev; Minwoo Byeon; Dipam Chakraborty; Edward Grefenstette; Minqi Jiang; DaeJin Jo; Anssi Kanervisto; Jongmin Kim 006; Sungwoong Kim; Robert Kirk; et al. (NeurIPS (Competition and Demos), 2021)

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. - Anssi Kanervisto; Stephanie Milani; Karolis Ramanauskas; Nicholay Topin; Zichuan Lin; Junyou Li; Jianing Shi; Deheng Ye; Qiang Fu 016; Wei Yang 032; Weijun Hong; Zhongyue Huang; et al. (NeurIPS (Competition and Demos), 2021)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (NeurIPS (Competition and Demos), 2021)

Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. - Rohin Shah; Steven H. Wang; Cody Wild; Stephanie Milani; Anssi Kanervisto; Vinicius G. Goecks; Nicholas R. Waytowich; David Watkins-Valls; Bharat Prakash; Edmund Mills; Divyansh Garg; Alexander Fries; et al. (NeurIPS (Competition and Demos), 2021)

Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search. - Dylan R. Ashley; Anssi Kanervisto; Brendan Bennett (CoRR, 2021)

Towards robust and domain agnostic reinforcement learning competitions. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (CoRR, 2021)

The MineRL BASALT Competition on Learning from Human Feedback. - Rohin Shah; Cody Wild; Steven H. Wang; Neel Alex; Brandon Houghton; William H. Guss; Sharada P. Mohanty; Anssi Kanervisto; Stephanie Milani; Nicholay Topin; Pieter Abbeel; Stuart Russell 001; et al. (CoRR, 2021)

Stable-Baselines3: Reliable Reinforcement Learning Implementations. - Antonin Raffin; Ashley Hill; Adam Gleave; Anssi Kanervisto; Maximilian Ernestus; Noah Dormann (J. Mach. Learn. Res., 2021)

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. - Rohin Shah; Steven H. Wang; Cody Wild; Stephanie Milani; Anssi Kanervisto; Vinicius G. Goecks; Nicholas R. Waytowich; David Watkins-Valls; Bharat Prakash; Edmund Mills; Divyansh Garg; Alexander Fries; et al. (CoRR, 2022)

A2C is a special case of PPO. - Shengyi Huang; Anssi Kanervisto; Antonin Raffin; Weixun Wang; Santiago Ontañón; Rousslan Fernand Julien Dossa (CoRR, 2022)

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. - Anssi Kanervisto; Ville Hautamäki; Tomi Kinnunen; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Imitating Human Behaviour with Diffusion Models. - Tim Pearce; Tabish Rashid; Anssi Kanervisto; David Bignell; Mingfei Sun 001; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Ida Momennejad; Katja Hofmann; Sam Devlin (ICLR, 2023)

BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Rohin Shah (NeurIPS, 2023)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (CoRR, 2023)

Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. - Lukas Schäfer 001; Logan Jones; Anssi Kanervisto; Yuhan Cao 001; Tabish Rashid; Raluca Georgescu; David Bignell; Siddhartha Sen 001; Andrea Treviño Gavito; Sam Devlin (CoRR, 2023)

GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. - Anssi Kanervisto; Tomi Kinnunen; Ville Hautamäki (IEEE Trans. Games, 2023)

Diffusion for World Modeling: Visual Details Matter in Atari. - Eloi Alonso; Adam Jelley; Vincent Micheli; Anssi Kanervisto; Amos J. Storkey; Tim Pearce; François Fleuret (NeurIPS, 2024)

Toward Human-AI Alignment in Large-Scale Multi-Player Games. - Sugandha Sharma; Guy Davidson; Khimya Khetarpal; Anssi Kanervisto; Udit Arora; Katja Hofmann; Ida Momennejad (CoRR, 2024)

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. - Andrea Tirinzoni; Ahmed Touati; Jesse Farebrother; Mateusz Guzek; Anssi Kanervisto; Yingchen Xu; Alessandro Lazaric; Matteo Pirotta (ICLR, 2025)

World and Human Action Models towards gameplay ideation. - Anssi Kanervisto; David Bignell; Linda Yilin Wen; Martin Grayson; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Tabish Rashid; Tim Pearce; Yuhan Cao 001; Abdelhak Lemkhenter; Chentian Jiang; et al. (Nat., 2025)

Fast Adaptation with Behavioral Foundation Models. - Harshit Sikchi; Andrea Tirinzoni; Ahmed Touati; Yingchen Xu; Anssi Kanervisto; Scott Niekum; Amy Zhang 001; Alessandro Lazaric; Matteo Pirotta (CoRR, 2025)