Asim Munawar

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 55

Top Topics

Reinforcement Learning

Definition Language

Top Venues

Publications

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR (2024)
Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md. Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos
Self-Refinement of Language Models from External Proxy Metrics Feedback. CoRR (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR (2024)
Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR (2024)
Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar
A Grounded Preference Model for LLM Alignment. ACL (Findings) (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) (2024)
Hina Raja, Asim Munawar, Mohammad Delsoz, Mohammad Elahi, Yeganeh Madadi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hermandez, Sang Tran, Wuqas Munir, Alaa Abd-Alrazaq, Hao Chen, Siamak Yousefi
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. CoRR (2023)
Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray
Learning Neuro-Symbolic World Models with Conversational Proprioception. ACL (2) (2023)
Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. EMNLP (Findings) (2023)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) (2023)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR (2023)
Asim Munawar
How a shopping mall trip inspired me to work in neuro-symbolic AI. Commun. ACM 65 (5) (2022)
Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana
Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization. ICASSP (2021)
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
Neuro-Symbolic Reinforcement Learning with First-Order Logic. CoRR (2021)
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
Neuro-Symbolic Reinforcement Learning with First-Order Logic. EMNLP (1) (2021)
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
LOA: Logical Optimal Actions for Text-based Interaction Games. ACL (demo) (2021)
Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar
Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) (2021)
Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar
Language-based General Action Template for Reinforcement Learning Agents. ACL/IJCNLP (Findings) (2021)
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
LOA: Logical Optimal Actions for Text-based Interaction Games. CoRR (2021)
Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray
Reinforcement Learning with External Knowledge by using Logical Neural Networks. CoRR (2021)
Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana
Adversarial Discriminative Attention for Robust Anomaly Detection. WACV (2020)
Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante
Learning Multiple Sound Source 2D Localization. CoRR (2020)
Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. CoRR (2020)
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. CoRR (2020)
Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization. CoRR (2020)
Guillaume Le Moing, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Phongtharin Vinayavekhin
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization. CoRR (2020)
Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. EMNLP (1) (2020)
Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. ISM (2019)
Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana
Shuffling and Mixing Data Augmentation for Environmental Sound Classification. DCASE (2019)
Michiaki Tatsubori, Asim Munawar, Takao Moriyama
Design and Implementation of Linked Planning Domain Definition Language. CoRR (2019)
Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. MMSP (2019)
Daiki Kimura, Minori Narita, Asim Munawar, Ryuki Tachibana
Spatially-weighted Anomaly Detection with Regression Model. CoRR (2019)
Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante
Learning Multiple Sound Source 2D Localization. MMSP (2019)
Akifumi Wachi, Hiroshi Kajino, Asim Munawar
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. CoRR (2018)
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. CoRR (2018)
Kugamoorthy Gajananan, Pablo Loyola, Yasuharu Katsuno, Asim Munawar, Scott Trent, Fumiko Satoh
Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal. SCC (2018)
Don Joven Agravante, Giovanni De Magistris, Asim Munawar, Phongtharin Vinayavekhin, Ryuki Tachibana
Deep Learning with Predictive Control for Human Motion Tracking. CoRR (2018)
Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion. CoRR (2018)
Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. ICRA (2018)
Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. CoRR (2018)
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. ICPR (2018)
Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana
Constrained Exploration and Recovery from Experience Shaping. CoRR (2018)
Takao Moriyama, Giovanni De Magistris, Michiaki Tatsubori, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana
Reinforcement Learning Testbed for Power-Consumption Optimization. CoRR (2018)
Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. CoRR (2018)
Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, Ryuki Tachibana
Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory. ICSR (2017)
Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris
Limiting the reconstruction capability of generative neural network using negative learning. MLSP (2017)
Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning. CoRR (2017)
Khan Md. Anwarus Salam, Asim Munawar
Knowledge Engine for Robots Using Ontology. ACIT/CSII/BCD (2017)
Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris
Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space. WACV (2017)
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana
Deep reinforcement learning for high precision assembly tasks. IROS (2017)
Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
Text to image generative model using constrained embedding space mapping. MLSP (2017)
Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
Conditional generation of multi-modal data using constrained embedding space mapping. CoRR (2017)
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana
Deep Reinforcement Learning for High Precision Assembly Tasks. CoRR (2017)
Clement Creusot, Asim Munawar
Low-computation egocentric barcode detector for the blind. ICIP (2016)
Clement Creusot, Asim Munawar
Real-time small obstacle detection on highways using compressive RBM road reconstruction. Intelligent Vehicles Symposium (2015)
Clement Creusot, Asim Munawar
Real-Time Barcode Detection in the Wild. WACV (2015)
Asim Munawar, Clement Creusot
Structural inpainting of road patches for anomaly detection. MVA (2015)
Asim Munawar, Shuichi Shimizu
Scalable Co-Simulation of Functional Models With Accurate Event Exchange. DAC (2014)
Asim Munawar, Takeo Yoshizawa, Tatsuya Ishikawa, Shuichi Shimizu
On-time data exchange in fully-parallelized co-simulation with conservative synchronization. WSC (2013)
Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jörg Henkel
ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. ICCAD (2013)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. SERVICES (2011)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
Optimization of parallel Genetic Algorithms for nVidia GPUs. IEEE Congress on Evolutionary Computation (2011)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Advanced genetic algorithm to solve MINLP problems over GPU. IEEE Congress on Evolutionary Computation (2011)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. LION (2011)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. IEEE Congress on Evolutionary Computation (2010)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. PDPTA (2010)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. Future Gener. Comput. Syst. 26 (4) (2010)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. PDCAT (2009)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. Genet. Program. Evolvable Mach. 10 (4) (2009)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. GRID (2008)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. GRID (2008)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. HPCC (2008)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. IEEE SCC (2) (2008)
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. HPCC (2008)
Masaharu Munetomo, Asim Munawar, Kiyoshi Akama
A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. EUROCAST (2007)
Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
Optimization problem solving framework employing GAs with linkage identification over a grid environment. IEEE Congress on Evolutionary Computation (2007)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. PDCAT (2007)