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Andrei Cristian Nica
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2020 – today
- 2024
- [c6]Avishek Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian Fatras, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong:
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR 2024 - [i4]Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot
, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio:
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR abs/2405.01616 (2024) - 2023
- [c5]Andrei Cristian Nica, Adina Magda Florea:
Order from Chaos: Leveraging the Order in Time as Intrinsic Reward. CSCS 2023: 152-159 - [c4]Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin:
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability. ICML 2023: 23467-23483 - [i3]Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. CoRR abs/2310.02391 (2023) - 2022
- [i2]Andrei Cristian Nica, Khimya Khetarpal, Doina Precup:
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning. CoRR abs/2201.09653 (2022) - [i1]Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin:
Learning GFlowNets from partial episodes for improved convergence and stability. CoRR abs/2209.12782 (2022)
2010 – 2019
- 2019
- [c3]Andrei Cristian Nica, Mihai Trascau, Alexandru Andrei Rotaru, Constantin Andreescu, Alexandru Sorici, Adina Magda Florea
Collecting and Processing a Self-Driving Dataset in the UPB Campus. CSCS 2019: 202-209 - [c2]Andrei Mihalea, Robert Samoilescu, Andrei Cristian Nica, Mihai Trascau, Alexandru Sorici, Adina Magda Florea
End-to-end models for self-driving cars on UPB campus roads. ICCP 2019: 35-40 - 2017
- [c1]Andrei Cristian Nica, Tudor Berariu, Florin Gogianu, Adina Magda Florea
Learning to Maximize Return in a Stag Hunt Collaborative Scenario through Deep Reinforcement Learning. SYNASC 2017: 188-195
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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