Nasik Muhammad Nafi

15 papers A* 1A 5B 2C 2Journal 2Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning. AAMAS Nasik Muhammad Nafi, William H. Hsu
2025	A	`conf`	ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. SC Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu
2025	J	`jnl`	ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. CoRR Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu
2024	B	`conf`	Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. IJCNN Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
2024	A	`conf`	Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning. AAMAS Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu, Kevin Duong, Mason Vick
2023	A	`conf`	Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. AAMAS Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
2023	A	`conf`	Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning. AAMAS Nasik Muhammad Nafi
2023	A*	`conf`	Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). AAAI Raja Farrukh Ali, Kevin Duong, Nasik Muhammad Nafi, William H. Hsu
2023	B	`conf`	Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. IJCNN Nasik Muhammad Nafi, Giovanni Poggi-Corradini, William H. Hsu
2023	C	`conf`	Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. ICMLA Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu
2022	C	`conf`	Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. ICMLA Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu
2021	—	`conf`	eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning. CAIP (1) Ademola Okerinde, William H. Hsu, Tom Theis, Nasik Muhammad Nafi, Lior Shamir
2021	J	`jnl`	eGAN: Unsupervised approach to class imbalance using transfer learning. CoRR Ademola Okerinde, Lior Shamir, William H. Hsu, Tom Theis, Nasik Muhammad Nafi
2020	—	`conf`	Abstractive Text Summarization of Disaster-Related Documents. ISCRAM Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, William H. Hsu
2020	—	`conf`	Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches. IWSSIP Nasik Muhammad Nafi, William H. Hsu