Andrew Melnik

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Source Separation

Reinforcement Learning

Diffusion Models

Scene Representation

Top Venues

NeurIPS (Competition and Demos)

Publications

Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter
Video Diffusion Models: A Survey. CoRR (2024)
Arjun P. S, Andrew Melnik, Gora Chand Nandi
Exploring Unseen Environments with Robots using Large Language and Vision Models through a Procedurally Generated 3D Scene Representation. CoRR (2024)
Federico Malato, Florian Leopold, Andrew Melnik, Ville Hautamäki
Zero-shot Imitation Policy via Search in Demonstration Dataset. CoRR (2024)
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
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR (2024)
Federico Malato, Florian Leopold, Andrew Melnik, Ville Hautamäki
Zero-Shot Imitation Policy Via Search In Demonstration Dataset. ICASSP (2024)
Andrew Melnik, Maksim Miasayedzenkau, Dzianis Makarovets, Dzianis Pirshtuk, Eren Akbulut, Dennis Holzmann, Tarek Renusch, Gustav Reichert, Helge J. Ritter
Face Generation and Editing With StyleGAN: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yusuke Mikami, Andrew Melnik, Jun Miura, Ville Hautamäki
Natural Language as Polices: Reasoning for Coordinate-Level Embodied Control with LLMs. CoRR (2024)
Antonio Ruiz, Andrew Melnik, Dong Wang, Helge J. Ritter
Lane Segmentation Refinement with Diffusion Models. CoRR (2024)
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
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR (2023)
Krishan Rana, Andrew Melnik, Niko Sünderhauf
Contrastive Language, Action, and State Pre-training for Robot Learning. CoRR (2023)
Markus Rothgaenger, Andrew Melnik, Helge J. Ritter
Shape complexity estimation using VAE. CoRR (2023)
Florian Nolte, Andrew Melnik, Helge J. Ritter
Stroke-based Rendering: From Heuristics to Deep Learning. CoRR (2023)
Jannik Sheikh, Andrew Melnik, Gora Chand Nandi, Robert Haschke
Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks. CoRR (2023)
Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, Mozhgan Saeidi, Animesh Garg, Helge J. Ritter
Benchmarks for Physical Reasoning AI. Trans. Mach. Learn. Res. 2023 (2023)
Christian Limberg, Andrew Melnik, Helge J. Ritter, Helmut Prendinger
YOLO: You Only Look 10647 Times. VISIGRAPP (5: VISAPP) (2023)
Federico Malato, Florian Leopold, Ville Hautamäki, Andrew Melnik
Behavioral Cloning via Search in Embedded Demonstration Dataset. CoRR (2023)
Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun PS, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke
UniTeam: Open Vocabulary Mobile Manipulation Challenge. CoRR (2023)
Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Muresanu, Mozhgan Saeidi, Animesh Garg, Helge J. Ritter
Benchmarks for Physical Reasoning AI. CoRR (2023)
Andrew Melnik, Eren Akbulut, Jannik Sheikh, Kira Loos, Michael Buettner, Tobias Lenze
Faces: AI Blitz XIII Solutions. CoRR (2022)
Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. CoRR (2022)
Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik
Behavioral Cloning via Search in Video PreTraining Latent Space. CoRR (2022)
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
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR (2022)
Christian Limberg, Andrew Melnik, Augustin Harter, Helge J. Ritter
YOLO - You only look 10647 times. CoRR (2022)
Andrew Melnik, Maksim Miasayedzenkau, Dzianis Makarovets, Dzianis Pirshtuk, Eren Akbulut, Dennis Holzmann, Tarek Renusch, Gustav Reichert, Helge J. Ritter
Face Generation and Editing with StyleGAN: A Survey. CoRR (2022)
Shivansh Beohar, Andrew Melnik
Planning with RL and episodic-memory behavioral priors. CoRR (2022)
Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik
Transfer Learning with Jukebox for Music Source Separation. AIAI (2) (2022)
Shivansh Beohar, Fabian Heinrich, Rahul Kala, Helge J. Ritter, Andrew Melnik
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space. CoRR (2022)
Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. IJCNN (2022)
Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter
Critic Guided Segmentation of Rewarding Objects in First-Person Views. KI (2021)
Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik
Transfer Learning with Jukebox for Music Source Separation. CoRR (2021)
Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks 144 (2021)
Andrew Melnik, Luca Lach, Matthias Plappert, Timo Korthals, Robert Haschke, Helge J. Ritter
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Frontiers Robotics AI 8 (2021)
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
Towards robust and domain agnostic reinforcement learning competitions. CoRR (2021)
Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter
Critic Guided Segmentation of Rewarding Objects in First-Person Views. CoRR (2021)
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
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
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
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) (2021)
Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge J. Ritter
Solving Physics Puzzles by Reasoning about Paths. CoRR (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
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. NeurIPS (Competition and Demos) (2020)
Nicolas Bach, Andrew Melnik, Malte Schilling, Timo Korthals, Helge J. Ritter
Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. LOD (2) (2020)
Nicolas Bach, Andrew Melnik, Federico Rosetto, Helge J. Ritter
An Error-Based Addressing Architecture for Dynamic Model Learning. LOD (2) (2020)
Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert
Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. FUSION (2019)
Andrew Melnik, Sascha Fleer, Malte Schilling, Helge J. Ritter
Modularization of End-to-End Learning: Case Study in Arcade Games. CoRR (2019)
Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann
Embodied cognition. BCI (2018)
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
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR (2018)