Tetiana Parshakova

15 papers A* 2A 1B 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fitting Multilevel Factor Models. SIAM J. Matrix Anal. Appl. Tetiana Parshakova, Trevor Hastie, Stephen P. Boyd
2024	J	`jnl`	Fitting Multilevel Factor Models. CoRR Tetiana Parshakova, Trevor Hastie, Stephen Boyd
2024	A*	`conf`	Optimization Algorithm Design via Electric Circuits. NeurIPS Stephen Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh
2024	J	`jnl`	Optimization Algorithm Design via Electric Circuits. CoRR Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh
2023	A*	`conf`	Efficient Graph Field Integrators Meet Point Clouds. ICML Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
2023	J	`jnl`	Efficient Graph Field Integrators Meet Point Clouds. CoRR Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
2023	J	`jnl`	Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices. CoRR Tetiana Parshakova, Trevor Hastie, Eric Darve, Stephen Boyd
2019	J	`jnl`	Distributional Reinforcement Learning for Energy-Based Sequential Models. CoRR Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman
2019	B	`conf`	Global Autoregressive Models for Data-Efficient Sequence Learning. CoNLL Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman
2019	J	`jnl`	Global Autoregressive Models for Data-Efficient Sequence Learning. CoRR Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman
2019	J	`jnl`	Latent Question Interpretation Through Variational Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. Tetiana Parshakova, François Rameau, Andriy Serdega, In So Kweon, Dae-Shik Kim
2018	—	`conf`	Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron. MRC@IJCAI Tetiana Parshakova, Dae-Shik Kim
2018	A	`conf`	UMorph: Self-Change Tracker to Reflect Yourself to the Future and Past. Conference on Designing Interactive Systems (Companion Volume) Tetiana Parshakova, Daniel Saakes
2017	—	`conf`	Furniture that Learns to Move Itself. CHI Extended Abstracts Tetiana Parshakova, Minjoo Cho, Álvaro Cassinelli, Daniel Saakes
2016	—	`conf`	Ratchair: furniture learns to move itself with vibration. SIGGRAPH Emerging Technologies Tetiana Parshakova, Minjoo Cho, Álvaro Cassinelli, Daniel Saakes