| Learning long-range spatial dependencies with horizontal gated recurrent units D Linsley, J Kim, V Veerabadran, C Windolf, T Serre Advances in Neural Information Processing Systems, 152-164, 2018 | 177 | 2018 |
| A systematic comparison between visual cues for boundary detection DA Mély, J Kim, M McGill, Y Guo, T Serre Vision research 120, 93-107, 2016 | 127 | 2016 |
| Not-So-CLEVR: learning same–different relations strains feedforward neural networks J Kim, M Ricci, T Serre Interface focus 8 (4), 20180011, 2018 | 113 | 2018 |
| Disentangling neural mechanisms for perceptual grouping J Kim, D Linsley, K Thakkar, T Serre arXiv preprint arXiv:1906.01558, 2019 | 51 | 2019 |
| Recurrent neural circuits for contour detection D Linsley, J Kim, A Ashok, T Serre arXiv preprint arXiv:2010.15314, 2020 | 49 | 2020 |
| Transformers generalize differently from information stored in context vs in weights SCY Chan, I Dasgupta, J Kim, D Kumaran, AK Lampinen, F Hill arXiv preprint arXiv:2210.05675, 2022 | 34 | 2022 |
| Same-different problems strain convolutional neural networks M Ricci, J Kim, T Serre arXiv preprint arXiv:1802.03390, 2018 | 25 | 2018 |
| Tracking without re-recognition in humans and machines D Linsley, G Malik, J Kim, LN Govindarajan, E Mingolla, T Serre Advances in Neural Information Processing Systems 34, 19473-19486, 2021 | 14 | 2021 |
| Sample-efficient image segmentation through recurrence D Linsley, J Kim, T Serre arXiv preprint arXiv:1811.11356, 2018 | 11 | 2018 |
| Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks D Linsley, J Kim, D Berson, T Serre arXiv preprint arXiv:1811.11356, 2018 | 8 | 2018 |
| Scaling Instructable Agents Across Many Simulated Worlds MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ... arXiv preprint arXiv:2404.10179, 2024 | 7 | 2024 |
| Explainability via causal self-talk NA Roy, J Kim, N Rabinowitz Advances in Neural Information Processing Systems 35, 7655-7670, 2022 | 6 | 2022 |
| Not-so-CLEVR: Visual relations strain feedforward neural networks J Kim, M Ricci, T Serre | 6 | 2018 |
| Differential Involvement of EEG Oscillatory Components in Sameness versus Spatial-Relation Visual Reasoning Tasks A Alamia, C Luo, M Ricci, J Kim, T Serre, R VanRullen eneuro 8 (1), 2021 | 3 | 2021 |
| What is the function of the orientation-tilt illusion? T Serre, D Linsley, J Kim Journal of Vision 20 (11), 868-868, 2020 | 1 | 2020 |
| Differential involvement of EEG oscillations in identity vs. spatial-relation reasoning tasks A Alamia, M Ricci, J Kim, T Serre, R Van-Rullen Journal of Vision 19 (10), 44b-44b, 2019 | 1 | 2019 |
| Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks. M Ricci, J Kim, T Serre CoRR, 2018 | | 2018 |
| A Passage-of-time Model of the Cerebellar Purkinje Cell M Ricci, J Kim, F Johansson arXiv preprint arXiv:1605.03060, 2016 | | 2016 |
| A critical evaluation of computational mechanisms of binocular disparity processing J Kim, DA Mély, T Serre | | 2015 |
| Visual cue diagnosticity for boundary detection in natural scenes: A computational study DA Mély, J Kim, M McGill, Y Guo, T Serre Journal of Vision 14 (10), 889-889, 2014 | | 2014 |
Thomas SerreProfessor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse InstituteVerified email at brown.edu
