Andrew Melnik

According to our database, Andrew Melnik authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Face Generation and Editing With StyleGAN: A Survey.

Andrew Melnik, Maksim Miasayedzenkau, Dzianis Makarovets, Dzianis Pirshtuk, Eren Akbulut, Dennis Holzmann, Tarek Renusch, Gustav Reichert, Helge J. Ritter

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.

Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

CoRR, 2024

Video Diffusion Models: A Survey.

Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter

CoRR, 2024

Lane Segmentation Refinement with Diffusion Models.

Antonio Ruiz, Andrew Melnik, Dong Wang, Helge J. Ritter

CoRR, 2024

Exploring Unseen Environments with Robots using Large Language and Vision Models through a Procedurally Generated 3D Scene Representation.

Arjun P. S, Andrew Melnik, Gora Chand Nandi

CoRR, 2024

Natural Language as Polices: Reasoning for Coordinate-Level Embodied Control with LLMs.

Yusuke Mikami, Andrew Melnik, Jun Miura, Ville Hautamäki

CoRR, 2024

Zero-Shot Imitation Policy Via Search In Demonstration Dataset.

Federico Malato, Florian Leopold, Andrew Melnik, Ville Hautamäki

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Benchmarks for Physical Reasoning AI.

Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, Mozhgan Saeidi, Animesh Garg, Helge J. Ritter

Trans. Mach. Learn. Res., 2023

UniTeam: Open Vocabulary Mobile Manipulation Challenge.

Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke

CoRR, 2023

Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks.

Jannik Sheikh, Andrew Melnik, Gora Chand Nandi, Robert Haschke

CoRR, 2023

Behavioral Cloning via Search in Embedded Demonstration Dataset.

Federico Malato, Florian Leopold, Ville Hautamäki, Andrew Melnik

CoRR, 2023

Contrastive Language, Action, and State Pre-training for Robot Learning.

Krishan Rana, Andrew Melnik, Niko Sünderhauf

CoRR, 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, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

CoRR, 2023

Stroke-based Rendering: From Heuristics to Deep Learning.

Florian Nolte, Andrew Melnik, Helge J. Ritter

CoRR, 2023

YOLO: You Only Look 10647 Times.

Christian Limberg, Andrew Melnik, Helge J. Ritter, Helmut Prendinger

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Shape Complexity Estimation Using VAE.

Markus Rothgänger, Andrew Melnik, Helge J. Ritter

Proceedings of the Intelligent Systems and Applications, 2023

2022

Behavioral Cloning via Search in Video PreTraining Latent Space.

Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik

CoRR, 2022

Planning with RL and episodic-memory behavioral priors.

Shivansh Beohar, Andrew Melnik

CoRR, 2022

Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space.

Shivansh Beohar, Fabian Heinrich, Rahul Kala, Helge J. Ritter, Andrew Melnik

CoRR, 2022

Faces: AI Blitz XIII Solutions.

Andrew Melnik, Eren Akbulut, Jannik Sheikh, Kira Loos, Michael Büttner, Tobias Lenze

CoRR, 2022

YOLO - You only look 10647 times.

Christian Limberg, Andrew Melnik, Augustin Harter, Helge J. Ritter

CoRR, 2022

A Graph-based U-Net Model for Predicting Traffic in unseen Cities.

Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling

Proceedings of the International Joint Conference on Neural Networks, 2022

Transfer Learning with Jukebox for Music Source Separation.

Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning.

Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer

Neural Networks, 2021

Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks.

Andrew Melnik, Luca Lach, Matthias Plappert, Timo Korthals, Robert Haschke, Helge J. Ritter

Frontiers Robotics AI, 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, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

CoRR, 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, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

Proceedings of the NeurIPS 2022 Competition Track, 2021

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Critic Guided Segmentation of Rewarding Objects in First-Person Views.

Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2020

Solving Physics Puzzles by Reasoning about Paths.

Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge J. Ritter

CoRR, 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, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3.

Nicolas Bach, Andrew Melnik, Malte Schilling, Timo Korthals, Helge J. Ritter

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

An Error-Based Addressing Architecture for Dynamic Model Learning.

Nicolas Bach, Andrew Melnik, Federico Rosetto, Helge J. Ritter

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Modularization of End-to-End Learning: Case Study in Arcade Games.

Andrew Melnik, Sascha Fleer, Malte Schilling, Helge J. Ritter

CoRR, 2019

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion.

Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.

Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp

CoRR, 2018

Embodied cognition.

Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann

Proceedings of the 6th International Conference on Brain-Computer Interface, 2018