Sahika Genc - RankMe

32 papers A* 3B 1C 4Journal 11Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Plugin Method for Metric Optimization of Black-Box Models. CoRR Siddartha Devic, Nurendra Choudhary, Anirudh Srinivasan, Sahika Genc, Branislav Kveton, Gaurush Hiranandani
2025	—	`conf`	To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach. EMNLP (Findings) Yuchen Yan, Aakash Kolekar, Sahika Genc, Wenju Xu, Edward W. Huang, Anirudh Srinivasan, Mukesh Jain, Qi He, Hanghang Tong
2024	J	`jnl`	Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun
2022	J	`jnl`	Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing. CoRR Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg
2021	J	`jnl`	Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control. CoRR Vinay Hanumaiah, Sahika Genc
2021	—	`conf`	Gated Transformer for Decoding Human Brain EEG Signals. EMBC Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar
2021	J	`jnl`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
2021	A*	`conf`	REPAINT: Knowledge Transfer in Deep Reinforcement Learning. ICML Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya
2020	A*	`conf`	DeepRacer: Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. ICRA Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
2020	—	`conf`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe
2020	J	`jnl`	REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. CoRR Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya
2020	A*	`conf`	Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar
2020	J	`jnl`	Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks. CoRR Sahika Genc, Sunil Mallya, Sravan Bodapati, Tao Sun, Yunzhe Tao
2019	J	`jnl`	DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning. CoRR Bharathan Balaji, Sunil Mallya, Sahika Genc, Saurabh Gupta, Leo Dirac, Vineet Khare, Gourav Roy, Tao Sun, Yunzhe Tao, Brian Townsend, Eddie Calleja, Sunil Muralidhara, Dhanasekar Karuppasamy
2019	J	`jnl`	SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability. CoRR Sunil Mallya, J. Marc Overhage, Sravan Bodapati, Navneet Srivastava, Sahika Genc
2017	B	`conf`	Parametric system identification using deep convolutional neural networks. IJCNN Sahika Genc
2015	—	`ch.`	Biomedical Signal Analysis. Healthcare Data Analytics Abhijit Patil, Rajesh Langoju, Suresh Joel, Bhushan D. Patil, Sahika Genc
2015	C	`conf`	Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation. ACC Emrah Biyik, James D. Brooks, Hullas Sehgal, Jigar Shah, Sahika Genc
2014	—	`conf`	An early respiratory distress detection method with Markov models. EMBC Hariharan Ravishankar, Aditya Saha, Gokul Swamy, Sahika Genc
2014	C	`conf`	Distributed estimation of lumped parameters of multi-zone small-middle size commercial buildings with minimal observations & implementation. CCA Sahika Genc, Hullas Sehgal
2014	—	`conf`	Hemodynamic-impact-based prioritization of ventricular tachycardia alarms. EMBC Kalpit Desai, Michael Lexa, Brett Matthews, Sahika Genc
2014	C	`conf`	Model predictive building thermostatic controls of small-to-medium commercial buildings for optimal peak load reduction incorporating dynamic human comfort models: Algorithm and implementation. CCA Emrah Biyik, Sahika Genc, James D. Brooks
2014	—	`conf`	Prediction of mortality from respiratory distress among long-term mechanically ventilated patients. EMBC Gregory Boverman, Sahika Genc
2011	C	`conf`	A coordinated optimization approach to Volt/VAr control for large power distribution networks. ACC Michael J. Krok, Sahika Genc
2011	—	`conf`	Continuous remote vital sign/environment monitoring for returning soldier adjustment assessment. EMBC Sahika Genc, Daniel J. Cleary, Tarik Yardibi, Joseph C. Wood, Max E. Stachura, Elena V. Astapova
2011	—	`conf`	Gait characterization via pulse-Doppler radar. PerCom Workshops Tarik Yardibi, Paul Cuddihy, Sahika Genc, Corey Bufi, Marjorie Skubic, Marilyn Rantz, Liang Liu, Calvin E. Phillips
2011	—	`conf`	Prediction of mean arterial blood pressure with linear stochastic models. EMBC Sahika Genc
2009	J	`jnl`	Predictability of event occurrences in partially-observed discrete-event systems. Autom. Sahika Genc, Stéphane Lafortune
2007	J	`jnl`	Distributed Diagnosis of Place-Bordered Petri Nets. IEEE Trans Autom. Sci. Eng. Sahika Genc, Stéphane Lafortune
2006	—	`conf`	Diagnosis of Patterns in Partially-Observed Discrete-Event Systems. CDC Sahika Genc, Stéphane Lafortune
2006	—	`—`	On diagnosis and predictability of partially-observed discrete -event systems. Sahika Genc
2003	—	`conf`	Distributed Diagnosis of Discrete-Event Systems Using Petri Nets. ICATPN Sahika Genc, Stéphane Lafortune