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ORCIDRoss Goroshin
Person information
- affiliation: New York University, Courant Institute
- affiliation: Naval Surface Warfare Center, Panama City, USA
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Books and Theses
- 2015
[b1]Ross Goroshin:
Unsupervised Feature Learning in Computer Vision. New York University, USA, 2015
Journal Articles
- 2018
- [j1]Andrea Banino, Caswell Barry
, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran:
Vector-based navigation using grid-like representations in artificial agents. Nat. 557(7705): 429-433 (2018)
Conference and Workshop Papers
- 2024
- [c15]Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman:
BootsTAP: Bootstrapped Training for Tracking-Any-Point. ACCV (2) 2024: 483-500 - [c14]Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin:
Course Correcting Koopman Representations. ICLR 2024 - 2023
- [c13]Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare:
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks. ICLR 2023 - [c12]Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin:
Block-State Transformers. NeurIPS 2023 - 2021
- [c11]Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin:
Impact of Aliasing on Generalization in Deep Convolutional Networks. ICCV 2021: 10509-10518 - [c10]Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle:
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c9]Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle:
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR 2020 - 2017
- [c8]Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell:
Learning to Navigate in Complex Environments. ICLR (Poster) 2017 - 2015
- [c7]Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler:
Efficient object localization using Convolutional Networks. CVPR 2015: 648-656 - [c6]Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV 2015: 4086-4093 - [c5]Ross Goroshin, Michaël Mathieu, Yann LeCun:
Learning to Linearize Under Uncertainty. NIPS 2015: 1234-1242 - [c4]Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) 2015 - 2013
- [c3]Rostislav Goroshin, Yann LeCun:
Saturating Auto-Encoder. ICLR (Poster) 2013 - 2010
- [c2]Jason C. Isaacs, Rostislav Goroshin:
Tracking cables in sonar and optical imagery. AIPR 2010: 1-7 - 2009
- [c1]Jason C. Isaacs, Rostislav Goroshin:
Automatic Cable Detection in Sonar Imagery. SMC 2009: 2745-2750
Informal and Other Publications
- 2025
- [i20]Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin:
TAPNext: Tracking Any Point (TAP) as Next Token Prediction. CoRR abs/2504.05579 (2025) - 2024
- [i19]Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman:
BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR abs/2402.00847 (2024) - [i18]Vishal Batchu, Alex Wilson, Betty Peng, Carl Elkin, Umangi Jain, Christopher Van Arsdale, Ross Goroshin, Varun Gulshan:
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping. CoRR abs/2408.14400 (2024) - [i17]Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu:
TRecViT: A Recurrent Video Transformer. CoRR abs/2412.14294 (2024) - [i16]João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman:
Scaling 4D Representations. CoRR abs/2412.15212 (2024) - 2023
- [i15]Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare:
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks. CoRR abs/2304.12567 (2023) - [i14]Mahan Fathi, Jonathan Pilault, Pierre-Luc Bacon, Christopher Pal, Orhan Firat, Ross Goroshin:
Block-State Transformer. CoRR abs/2306.09539 (2023) - [i13]Ross Goroshin, Alex Wilson, Andrew Lamb, Betty Peng, Brandon Ewonus, Cornelius Ratsch, Jordan Raisher, Marisa Leung, Max Burq, Thomas Colthurst, William Rucklidge, Carl Elkin:
Estimating Residential Solar Potential Using Aerial Data. CoRR abs/2306.13564 (2023) - [i12]Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin:
Course Correcting Koopman Representations. CoRR abs/2310.15386 (2023) - 2021
- [i11]Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle:
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark. CoRR abs/2104.02638 (2021) - [i10]Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin:
Impact of Aliasing on Generalization in Deep Convolutional Networks. CoRR abs/2108.03489 (2021) - [i9]Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal:
Learned Image Compression for Machine Perception. CoRR abs/2111.02249 (2021) - 2020
- [i8]Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi:
An Analysis of Object Representations in Deep Visual Trackers. CoRR abs/2001.02593 (2020) - [i7]Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin:
An Effective Anti-Aliasing Approach for Residual Networks. CoRR abs/2011.10675 (2020) - 2019
- [i6]Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle:
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR abs/1903.03096 (2019) - 2016
- [i5]Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell:
Learning to Navigate in Complex Environments. CoRR abs/1611.03673 (2016) - 2015
- [i4]Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun:
Stacked What-Where Auto-encoders. CoRR abs/1506.02351 (2015) - [i3]Ross Goroshin, Michaël Mathieu, Yann LeCun:
Learning to Linearize Under Uncertainty. CoRR abs/1506.03011 (2015) - 2014
- [i2]Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler:
Efficient Object Localization Using Convolutional Networks. CoRR abs/1411.4280 (2014) - [i1]Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR abs/1412.6056 (2014)
Coauthor Index
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