1. Irina Rish | Mila
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Irina Rish is a full professor at the Université de Montréal (UdeM), where she leads the Autonomous AI Lab, and a core academic member of Mila – Quebec Artificial Intelligence Institute. In addition to holding a Canada Excellence Research Chair (CERC) and a CIFAR Chair, she leads the U.S. Department of Energy’s INCITE project on Scalable Foundation Models on Summit & Frontier supercomputers at the Oak Ridge Leadership Computing Facility. She co-founded and serves as CSO of Nolano.ai. Rish’s current research interests include neural scaling laws and emergent behaviors (capabilities and alignment) in foundation models, as well as continual learning, out-of-distribution generalization and robustness. Before joining UdeM in 2019, she was a research scientist at the IBM T.J. Watson Research Center, where she worked on various projects at the intersection of neuroscience and AI, and led the Neuro-AI challenge. She was awarded the IBM Eminence & Excellence Award and IBM Outstanding Innovation Award (2018), IBM Outstanding Technical Achievement Award (2017) and IBM Research Accomplishment Award (2009). She holds 64 patents and has published 120 research papers, several book chapters, three edited books and a monograph on sparse modeling.
2. Machine Learning Oct 2024 - arXiv
... Artificial Intelligence (cs.AI); High Energy Physics - Theory (hep-th); ... Title: Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized ...
Title: Matrix Sketching in Bandits: Current Pitfalls and New Framework
3. Audience for 200 | Golden Skate
May I pass this question to Irina Lobacheva and Ilia Averbukh plus Tatiana Totmanina and Maxim Marinin? (Russia, partly, is an European country as well, and ...
I thought it was just awful the way the audience kept carrying on before the 200m men's event. The Greek Champion withdrew long before the event took place, and we will see if a doping scandal follows, so it's not the fault of the athletes on the field, nobody "stole his place". And to boo the...
4. [PDF] THE 2005-06 BUDGET: PERSPECTIVES AND ISSUES
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5. Publications - CERC-AAI Lab
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Publications
6. Vol. 34 No. 04: AAAI-20 Technical Tracks 4
Learning Efficient Representations for Fake Speech Detection. Nishant ... Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry Vetrov.
Yong-Nan Zhu, Yu-Feng Li
7. Ekaterina Lobacheva
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Ekaterina Lobacheva
8. Machine Learning - arXiv
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML) ... Deep Q-Exponential Processes. Zhi Chang, Chukwudi Obite ...
Title: Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
9. [PDF] Diverse and efficient ensembling of deep networks
Mar 1, 2024 · complex; it may create fake correlations between features from different inputs. ... Nadezhda Chirkova, Ekaterina Lobacheva, and Dmitry P.
10. Direct Line with Vladimir Putin - President of Russia
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Direct Line with Vladimir Putin was broadcast live on Channel One, Rossiya-1 and Rossiya-24 TV networks and Mayak, Vesti FM and Radio Rossii radio stations.
11. Papers - NeurIPS 2020
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This is the public, feature-limited version of the conference webpage. After Registration and login please visit the full version.
12. Advances in Neural Information Processing Systems 35 (NeurIPS ...
Depth is More Powerful than Width with Prediction Concatenation in Deep ... Robust Imitation via Mirror Descent Inverse Reinforcement Learning Dong-Sig ...
Requests for name changes in the electronic proceedings will be accepted with no questions asked. However name changes may cause bibliographic tracking issues. Authors are asked to consider this carefully and discuss it with their co-authors prior to requesting a name change in the electronic proceedings.
13. Volume 1959 Issue 1 | AIP Conference Proceedings
Irina G. Brykina. AIP Conf. Proc. 1959, 040006 (2018) https://doi.org ... Experience in using a numerical scheme with artificial viscosity at solving ...
14. The Influence of Artificial Intelligence on the Human Potential Development
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The article discusses the nature of the influence of artificial intelligence on the development of human potential from the point of view of the Orthodox clergy and their parishioners. Methodologically, surveys and statistics were used to find out the opinion of the study subjects. A common phenomenon in the study was a unique consolidated position of all categories of Orthodox respondents on the danger that artificial intelligence represents. Most Orthodox are concerned about the unpredictability of creating and using artificial intelligence, especially in a pandemic. The authors considered the position of clergy, parishioners with and without a church on the nature of artificial intelligence's influence on human potential, the threats and risks to humans that come from artificial intelligence. The main advantage of the work is the results obtained on the basis of the comparative analysis of the positions of different categories of orthodox respondents on the nature of the influence of artificial intelligence on the development of human potential. In conclusion, the results can be used to develop a categorical-conceptual apparatus, to systematize knowledge about the use of artificial intelligence in the social and spiritual spheres.
15. Vol. 34 No. 04: AAAI-20 Technical Tracks 4
Jun 16, 2020 · The Thirty-Fourth AAAI Conference on Artificial Intelligence was held on February 7–12, 2020 in New York, New York, USA.
Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz
16. [PDF] Using Natural and Artificial Intelligence in the Talent ...
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17. Book - NIPS papers
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Requests for name changes in the electronic proceedings will be accepted with no questions asked. However name changes may cause bibliographic tracking issues. Authors are asked to consider this carefully and discuss it with their co-authors prior to requesting a name change in the electronic proceedings.
18. [PDF] Gradient Dissent in Language Model Training and Saturation
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19. institute st petersburg: Topics by Science.gov
... artificial fill. Geologic structure in southeastern Alaska is complex ... Irina; Pozdeeva, Elena; Evseeva, Lidiya; Tanova, Anna. 2018-03-01. Topicality ...
20. ICCV 2015 - Table of Contents - IEEE Xplore
Using Deep Boltzmann Machines ... Efficient Classifier Training to Minimize False Merges in Electron Microscopy.
