עקוב אחר
Mario Lučić
Mario Lučić
Research Scientist, Google DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Gemini: A family of highly capable multimodal models‏
Gemini Team‏
arXiv preprint arXiv:2312.11805, 2023‏
32732023
MLP-Mixer: An All-MLP Architecture for Vision‏
I Tolstikhin, N Houlsby, A Kolesnikov, L Beyer, X Zhai, T Unterthiner, ...‏
Neural Information Processing Systems, 2021‏
31192021
ViViT: A Video Vision Transformer‏
A Arnab, M Dehghani, G Heigold, C Sun, M Lučić*, C Schmid*‏
International Conference on Computer Vision, 2021‏
27182021
Challenging common assumptions in the unsupervised learning of disentangled representations‏
F Locatello, S Bauer, M Lucic, S Gelly, B Schölkopf, O Bachem‏
International Conference on Machine Learning (Best Paper Award), 2019‏
16872019
Are GANs Created Equal? A Large-scale Study‏
M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet‏
Advances in neural information processing systems 31, 2018‏
12882018
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context‏
Gemini Team‏
arXiv preprint arXiv:2403.05530, 2024‏
11752024
Underspecification presents challenges for credibility in modern machine learning‏
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...‏
Journal of Machine Learning Research, 2020‏
8292020
Assessing Generative Models via Precision and Recall‏
MSM Sajjadi, O Bachem, M Lucic, O Bousquet, S Gelly‏
Advances in Neural Information Processing Systems, 2018‏
6522018
Recent advances in autoencoder-based representation learning‏
M Tschannen, O Bachem, M Lucic‏
Workshop on Bayesian Deep Learning (NeurIPS 2018), 2018‏
6192018
On Mutual Information Maximization for Representation Learning‏
M Tschannen*, J Djolonga*, PK Rubenstein, S Gelly, M Lucic‏
International Conference on Learning Representations, 2020‏
6102020
Scaling vision transformers to 22 billion parameters‏
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...‏
International Conference on Machine Learning, 7480-7512, 2023‏
5892023
The visual task adaptation benchmark‏
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...‏
461*2019
Self-Supervised GANs via Auxiliary Rotation Loss‏
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby‏
Conference on Computer Vision and Pattern Recognition, 2019‏
4002019
A Large-Scale Study on Regularization and Normalization in GANs‏
K Kurach, M Lucic, X Zhai, M Michalski, S Gelly‏
International Conference on Machine Learning, 2018‏
393*2018
Revisiting the Calibration of Modern Neural Networks‏
M Minderer, J Djolonga, R Romijnders, F Hubis, X Zhai, N Houlsby, ...‏
Neural Information Processing Systems, 2021‏
3802021
Fast and provably good seedings for k-means‏
O Bachem, M Lucic, H Hassani, A Krause‏
Advances in Neural Information Processing Systems, 2016‏
2082016
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations‏
MSM Sajjadi, H Meyer, E Pot, U Bergmann, K Greff, N Radwan, S Vora, ...‏
Computer Vision and Pattern Recognition, 2022‏
1972022
Practical coreset constructions for machine learning‏
O Bachem*, M Lucic*, A Krause‏
arXiv preprint arXiv:1703.06476, 2017‏
1952017
Approximate K-Means++ in Sublinear Time‏
O Bachem, M Lucic, SH Hassani, A Krause‏
AAAI Conference on Artificial Intelligence, 2016‏
1882016
On scaling up a multilingual vision and language model‏
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024‏
180*2024
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מאמרים 1–20