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Andrew Melnik
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2020 – today
- 2024
- [j4]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): 3557-3576 (2024) - [c12]Federico Malato, Florian Leopold, Andrew Melnik, Ville Hautamäki:
Zero-Shot Imitation Policy Via Search In Demonstration Dataset. ICASSP 2024: 7590-7594 - [i28]Federico Malato, Florian Leopold, Andrew Melnik, Ville Hautamäki:
Zero-shot Imitation Policy via Search in Demonstration Dataset. CoRR abs/2401.16398 (2024) - [i27]Yusuke Mikami, Andrew Melnik, Jun Miura, Ville Hautamäki:
Natural Language as Polices: Reasoning for Coordinate-Level Embodied Control with LLMs. CoRR abs/2403.13801 (2024) - [i26]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 abs/2404.00318 (2024) - [i25]Antonio Ruiz, Andrew Melnik, Dong Wang, Helge J. Ritter:
Lane Segmentation Refinement with Diffusion Models. CoRR abs/2405.00620 (2024) - [i24]Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge J. Ritter:
Video Diffusion Models: A Survey. CoRR abs/2405.03150 (2024) - [i23]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 abs/2407.06939 (2024) - 2023
- [j3]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) - [c11]Christian Limberg, Andrew Melnik, Helge J. Ritter, Helmut Prendinger:
YOLO: You Only Look 10647 Times. VISIGRAPP (5: VISAPP) 2023: 153-160 - [i22]Florian Nolte, Andrew Melnik, Helge J. Ritter:
Stroke-based Rendering: From Heuristics to Deep Learning. CoRR abs/2302.00595 (2023) - [i21]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 abs/2303.13512 (2023) - [i20]Markus Rothgänger, Andrew Melnik, Helge J. Ritter:
Shape complexity estimation using VAE. CoRR abs/2304.02766 (2023) - [i19]Krishan Rana
, Andrew Melnik, Niko Sünderhauf:
Contrastive Language, Action, and State Pre-training for Robot Learning. CoRR abs/2304.10782 (2023) - [i18]Federico Malato, Florian Leopold, Ville Hautamäki, Andrew Melnik:
Behavioral Cloning via Search in Embedded Demonstration Dataset. CoRR abs/2306.09082 (2023) - [i17]Jannik Sheikh, Andrew Melnik, Gora Chand Nandi, Robert Haschke:
Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks. CoRR abs/2312.05925 (2023) - [i16]Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke:
UniTeam: Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2312.08611 (2023) - [i15]Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, Mozhgan Saeidi, Animesh Garg, Helge J. Ritter:
Benchmarks for Physical Reasoning AI. CoRR abs/2312.10728 (2023) - 2022
- [c10]Wadhah Zai El Amri
, Oliver Tautz, Helge J. Ritter, Andrew Melnik:
Transfer Learning with Jukebox for Music Source Separation. AIAI (2) 2022: 426-433 - [c9]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: 1-8 - [i14]Christian Limberg, Andrew Melnik, Augustin Harter, Helge J. Ritter:
YOLO - You only look 10647 times. CoRR abs/2201.06159 (2022) - [i13]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 abs/2202.06725 (2022) - [i12]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 abs/2203.17070 (2022) - [i11]Andrew Melnik, Eren Akbulut, Jannik Sheikh, Kira Loos, Michael Büttner, Tobias Lenze:
Faces: AI Blitz XIII Solutions. CoRR abs/2204.01081 (2022) - [i10]Shivansh Beohar, Fabian Heinrich, Rahul Kala, Helge J. Ritter, Andrew Melnik:
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space. CoRR abs/2207.01275 (2022) - [i9]Shivansh Beohar, Andrew Melnik:
Planning with RL and episodic-memory behavioral priors. CoRR abs/2207.01845 (2022) - [i8]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 abs/2212.09102 (2022) - [i7]Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik:
Behavioral Cloning via Search in Video PreTraining Latent Space. CoRR abs/2212.13326 (2022) - 2021
- [j2]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: 538773 (2021) - [j1]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: 699-725 (2021) - [c8]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: 338-348 - [c7]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: 97-112 - [c6]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: 171-188 - [i6]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 abs/2106.03748 (2021) - [i5]Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter:
Critic Guided Segmentation of Rewarding Objects in First-Person Views. CoRR abs/2107.09540 (2021) - [i4]Wadhah Zai El Amri, Oliver Tautz, Helge J. Ritter, Andrew Melnik:
Transfer Learning with Jukebox for Music Source Separation. CoRR abs/2111.14200 (2021) - 2020
- [c5]Nicolas Bach, Andrew Melnik, Federico Rosetto, Helge J. Ritter:
An Error-Based Addressing Architecture for Dynamic Model Learning. LOD (2) 2020: 617-630 - [c4]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: 631-644 - [c3]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: 233-252 - [i3]Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge J. Ritter:
Solving Physics Puzzles by Reasoning about Paths. CoRR abs/2011.07357 (2020)
2010 – 2019
- 2019
- [c2]Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert:
Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. FUSION 2019: 1-8 - [i2]Andrew Melnik, Sascha Fleer, Malte Schilling
, Helge J. Ritter:
Modularization of End-to-End Learning: Case Study in Arcade Games. CoRR abs/1901.09895 (2019) - 2018
- [c1]Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann:
Embodied cognition. BCI 2018: 1-4 - [i1]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 abs/1804.00361 (2018)
Coauthor Index
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last updated on 2024-08-17 23:41 CEST by the dblp team
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