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ORCIDAndreas S. Tolias
Andreas Savas Tolias
Person information
- affiliation: Baylor College of Medicine, Houston, TX, USA
- affiliation: Rice University, Houston, TX, USA
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2020 – today
- 2024
[j12]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)- [c17]Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker:
Most discriminative stimuli for functional cell type clustering. ICLR 2024 - [i18]Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias:
Generalization properties of contrastive world models. CoRR abs/2401.00057 (2024) - [i17]Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker:
Most discriminative stimuli for functional cell type identification. CoRR abs/2401.05342 (2024) - 2023
- [j11]Zhe Li
, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow:
Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. 19(3) (2023) - [c16]Pawel A. Pierzchlewicz, Konstantin Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil S. Patel, Katrin Franke, Andreas S. Tolias, Fabian H. Sinz:
Energy Guided Diffusion for Generating Neurally Exciting Images. NeurIPS 2023 - [c15]Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Edgar Y. Walker, Fabian H. Sinz:
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system. NeurIPS 2023 - [i16]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. CoRR abs/2311.11908 (2023) - 2022
- [j10]Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi:
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Frontiers Artif. Intell. 5 (2022) - [j9]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j8]Gido M. van de Ven, Tinne Tuytelaars, Andreas S. Tolias:
Three types of incremental learning. Nat. Mac. Intell. 4(12): 1185-1197 (2022) - [i15]Zhe Li, Andreas S. Tolias, Xaq Pitkow:
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. CoRR abs/2202.10996 (2022) - [i14]Nikos Karantzas, Emma Besier, Josue Ortega Caro, Xaq Pitkow, Andreas S. Tolias, Ankit B. Patel, Fabio Anselmi:
Understanding robustness and generalization of artificial neural networks through Fourier masks. CoRR abs/2203.08822 (2022) - [i13]Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz:
The Sensorium competition on predicting large-scale mouse primary visual cortex activity. CoRR abs/2206.08666 (2022) - [i12]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - 2021
- [j7]Max F. Burg, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker:
Learning divisive normalization in primary visual cortex. PLoS Comput. Biol. 17(6) (2021) - [c14]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c13]Gido M. van de Ven, Zhe Li, Andreas S. Tolias:
Class-Incremental Learning With Generative Classifiers. CVPR Workshops 2021: 3611-3620 - [c12]Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S. Ecker, Fabian H. Sinz:
Generalization in data-driven models of primary visual cortex. ICLR 2021 - [c11]Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. Interspeech 2021: 3510-3514 - [c10]Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz:
Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) 2021: 314-333 - [c9]Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz:
Towards robust vision by multi-task learning on monkey visual cortex. NeurIPS 2021: 739-751 - [c8]Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz:
A flow-based latent state generative model of neural population responses to natural images. NeurIPS 2021: 15801-15815 - [i11]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i10]Gido M. van de Ven, Zhe Li, Andreas S. Tolias:
Class-Incremental Learning with Generative Classifiers. CoRR abs/2104.10093 (2021) - [i9]Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. CoRR abs/2105.00609 (2021) - [i8]Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz:
Towards robust vision by multi-task learning on monkey visual cortex. CoRR abs/2107.14344 (2021) - 2020
- [j6]Cody Baker, Emmanouil Froudarakis, Dimitri Yatsenko, Andreas S. Tolias, Robert Rosenbaum:
Inference of synaptic connectivity and external variability in neural microcircuits. J. Comput. Neurosci. 48(2): 123-147 (2020) - [c7]Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker:
Rotation-invariant clustering of neuronal responses in primary visual cortex. ICLR 2020 - [c6]R. James Cotton, Fabian H. Sinz, Andreas S. Tolias:
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses. NeurIPS 2020 - [i7]R. James Cotton, Fabian H. Sinz, Andreas S. Tolias:
Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses. CoRR abs/2010.11810 (2020) - [i6]Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel:
Flexible Few-Shot Learning with Contextual Similarity. CoRR abs/2012.05895 (2020)
2010 – 2019
- 2019
- [j5]Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker:
Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Comput. Biol. 15(4) (2019) - [c5]Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge:
A rotation-equivariant convolutional neural network model of primary visual cortex. ICLR (Poster) 2019 - [c4]Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias:
Learning from brains how to regularize machines. NeurIPS 2019: 9525-9535 - [i5]Gido M. van de Ven, Andreas S. Tolias:
Three scenarios for continual learning. CoRR abs/1904.07734 (2019) - [i4]Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias:
Learning From Brains How to Regularize Machines. CoRR abs/1911.05072 (2019) - 2018
- [j4]Philipp Berens, Jeremy Freeman, Thomas Deneux, Nicolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H. Macke, Srinivas C. Turaga, Patrick J. Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W. Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario Ringach, Jasmine Stone, Luke E. Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge:
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. PLoS Comput. Biol. 14(5) (2018) - [c3]Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias:
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. NeurIPS 2018: 7199-7210 - [i3]Dimitri Yatsenko, Edgar Y. Walker, Andreas S. Tolias:
DataJoint: A Simpler Relational Data Model. CoRR abs/1807.11104 (2018) - [i2]Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge:
A rotation-equivariant convolutional neural network model of primary visual cortex. CoRR abs/1809.10504 (2018) - [i1]Michiel van der Ven, Andreas S. Tolias:
Generative replay with feedback connections as a general strategy for continual learning. CoRR abs/1809.10635 (2018) - 2015
- [j3]Dimitri Yatsenko, Kresimir Josic, Alexander S. Ecker, Emmanouil Froudarakis, R. James Cotton, Andreas S. Tolias:
Improved Estimation and Interpretation of Correlations in Neural Circuits. PLoS Comput. Biol. 11(3) (2015)
2000 – 2009
- 2009
- [j2]Jakob H. Macke, Philipp Berens, Alexander S. Ecker, Andreas S. Tolias, Matthias Bethge:
Generating Spike Trains with Specified Correlation Coefficients. Neural Comput. 21(2): 397-423 (2009) - 2008
- [j1]Jozien B. M. Goense, Shih-Pi Ku, Hellmut Merkle, Andreas S. Tolias, Nikos K. Logothetis:
fMRI of the temporal lobe of the awake monkey at 7 T. NeuroImage 39(3): 1081-1093 (2008) - 2004
- [c2]Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos K. Logothetis:
Modelling Spikes with Mixtures of Factor Analysers. DAGM-Symposium 2004: 391-398 - 2003
- [c1]Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos K. Logothetis, Bernhard Schölkopf:
Prediction on Spike Data Using Kernel Algorithms. NIPS 2003: 1367-1374
Coauthor Index
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