Optimization problem solving framework employing GAs with linkage identification over a grid environment. - Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2007)

A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. - Masaharu Munetomo; Asim Munawar; Kiyoshi Akama (EUROCAST, 2007)

MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (PDCAT, 2007)

A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE SCC (2), 2008)

Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (GRID, 2008)

SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (GRID, 2008)

Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (HPCC, 2008)

A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (HPCC, 2008)

Parallel GEAs with Linkage Analysis over Grid. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Linkage in Evolutionary Computation, 2008)

Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (PDCAT, 2009)

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Genet. Program. Evolvable Mach., 2009)

A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2010)

A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (PDPTA, 2010)

The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Future Gener. Comput. Syst., 2010)

Advanced genetic algorithm to solve MINLP problems over GPU. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2011)

Optimization of parallel Genetic Algorithms for nVidia GPUs. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2011)

Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (LION, 2011)

A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (SERVICES, 2011)

ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. - Rana Muhammad Bilal; Rehan Hafiz; Muhammad Shafique 001; Saad Shoaib; Asim Munawar; Jörg Henkel (ICCAD, 2013)

On-time data exchange in fully-parallelized co-simulation with conservative synchronization. - Asim Munawar; Takeo Yoshizawa; Tatsuya Ishikawa; Shuichi Shimizu (WSC, 2013)

arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Massively Parallel Evolutionary Computation on GPGPUs, 2013)

Scalable Co-Simulation of Functional Models With Accurate Event Exchange. - Asim Munawar; Shuichi Shimizu (DAC, 2014)

Real-time small obstacle detection on highways using compressive RBM road reconstruction. - Clement Creusot; Asim Munawar (Intelligent Vehicles Symposium, 2015)

Structural inpainting of road patches for anomaly detection. - Asim Munawar; Clement Creusot (MVA, 2015)

Real-Time Barcode Detection in the Wild. - Clement Creusot; Asim Munawar (WACV, 2015)

Low-computation egocentric barcode detector for the blind. - Clement Creusot; Asim Munawar (ICIP, 2016)

Knowledge Engine for Robots Using Ontology. - Khan Md. Anwarus Salam; Asim Munawar (ACIT/CSII/BCD, 2017)

Deep reinforcement learning for high precision assembly tasks. - Tadanobu Inoue; Giovanni De Magistris; Asim Munawar; Tsuyoshi Yokoya; Ryuki Tachibana (IROS, 2017)

Text to image generative model using constrained embedding space mapping. - Subhajit Chaudhury; Sakyasingha Dasgupta; Asim Munawar; Md. A. Salam Khan; Ryuki Tachibana (MLSP, 2017)

Limiting the reconstruction capability of generative neural network using negative learning. - Asim Munawar; Phongtharin Vinayavekhin; Giovanni De Magistris (MLSP, 2017)

Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory. - Phongtharin Vinayavekhin; Michiaki Tatsubori; Daiki Kimura; Yifan Huang; Giovanni De Magistris; Asim Munawar; Ryuki Tachibana (ICSR, 2017)

Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space. - Asim Munawar; Phongtharin Vinayavekhin; Giovanni De Magistris (WACV, 2017)

Conditional generation of multi-modal data using constrained embedding space mapping. - Subhajit Chaudhury; Sakyasingha Dasgupta; Asim Munawar; Md. A. Salam Khan; Ryuki Tachibana (CoRR, 2017)

Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal. - Kugamoorthy Gajananan; Pablo Loyola; Yasuharu Katsuno; Asim Munawar; Scott Trent; Fumiko Satoh (SCC, 2018)

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. - Phongtharin Vinayavekhin; Subhajit Chaudhury; Asim Munawar; Don Joven Agravante; Giovanni De Magistris; Daiki Kimura; Ryuki Tachibana (ICPR, 2018)

MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. - Asim Munawar; Giovanni De Magistris; Tu-Hoa Pham; Daiki Kimura; Michiaki Tatsubori; Takao Moriyama; Ryuki Tachibana; Grady Booch (ICRA, 2018)

Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion. - Giovanni De Magistris; Asim Munawar; Tu-Hoa Pham; Tadanobu Inoue; Phongtharin Vinayavekhin; Ryuki Tachibana (CoRR, 2018)

Deep Learning with Predictive Control for Human Motion Tracking. - Don Joven Agravante; Giovanni De Magistris; Asim Munawar; Phongtharin Vinayavekhin; Ryuki Tachibana (CoRR, 2018)

Reinforcement Learning Testbed for Power-Consumption Optimization. - Takao Moriyama; Giovanni De Magistris; Michiaki Tatsubori; Tu-Hoa Pham; Asim Munawar; Ryuki Tachibana (CoRR, 2018)

Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. - Akifumi Wachi; Hiroshi Kajino; Asim Munawar (CoRR, 2018)

Constrained Exploration and Recovery from Experience Shaping. - Tu-Hoa Pham; Giovanni De Magistris; Don Joven Agravante; Subhajit Chaudhury; Asim Munawar; Ryuki Tachibana (CoRR, 2018)

Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. - Subhajit Chaudhury; Daiki Kimura; Tu-Hoa Pham; Asim Munawar; Ryuki Tachibana (CoRR, 2018)

Shuffling and Mixing Data Augmentation for Environmental Sound Classification. - Tadanobu Inoue; Phongtharin Vinayavekhin; Shiqiang Wang 001; David Wood; Asim Munawar; Bong Jun Ko; Nancy Greco; Ryuki Tachibana (DCASE, 2019)

Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. - Subhajit Chaudhury; Hiroki Ozaki; Daiki Kimura; Phongtharin Vinayavekhin; Asim Munawar; Ryuki Tachibana; Koji Ito; Yuki Inaba; Minoru Matsumoto; Shuji Kidokoro (ISM, 2019)

Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. - Subhajit Chaudhury; Daiki Kimura; Asim Munawar; Ryuki Tachibana (MMSP, 2019)

Learning Multiple Sound Source 2D Localization. - Guillaume Le Moing; Phongtharin Vinayavekhin; Tadanobu Inoue; Jayakorn Vongkulbhisal; Asim Munawar; Ryuki Tachibana; Don Joven Agravante (MMSP, 2019)

Spatially-weighted Anomaly Detection with Regression Model. - Daiki Kimura; Minori Narita; Asim Munawar; Ryuki Tachibana (CoRR, 2019)

Design and Implementation of Linked Planning Domain Definition Language. - Michiaki Tatsubori; Asim Munawar; Takao Moriyama (CoRR, 2019)

Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. - Subhajit Chaudhury; Daiki Kimura; Kartik Talamadupula; Michiaki Tatsubori; Asim Munawar; Ryuki Tachibana (EMNLP (1), 2020)

Adversarial Discriminative Attention for Robust Anomaly Detection. - Daiki Kimura; Subhajit Chaudhury; Minori Narita; Asim Munawar; Ryuki Tachibana (WACV, 2020)

Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization. - Guillaume Le Moing; Don Joven Agravante; Tadanobu Inoue; Jayakorn Vongkulbhisal; Asim Munawar; Ryuki Tachibana; Phongtharin Vinayavekhin (CoRR, 2020)

LOA: Logical Optimal Actions for Text-based Interaction Games. - Daiki Kimura; Subhajit Chaudhury; Masaki Ono; Michiaki Tatsubori; Don Joven Agravante; Asim Munawar; Akifumi Wachi; Ryosuke Kohita; Alexander Gray 001 (ACL (demo), 2021)

Language-based General Action Template for Reinforcement Learning Agents. - Ryosuke Kohita; Akifumi Wachi; Daiki Kimura; Subhajit Chaudhury; Michiaki Tatsubori; Asim Munawar (ACL/IJCNLP (Findings), 2021)

Neuro-Symbolic Approaches for Text-Based Policy Learning. - Subhajit Chaudhury; Prithviraj Sen; Masaki Ono; Daiki Kimura; Michiaki Tatsubori; Asim Munawar (EMNLP (1), 2021)

Neuro-Symbolic Reinforcement Learning with First-Order Logic. - Daiki Kimura; Masaki Ono; Subhajit Chaudhury; Ryosuke Kohita; Akifumi Wachi; Don Joven Agravante; Michiaki Tatsubori; Asim Munawar; Alexander Gray 001 (EMNLP (1), 2021)

Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization. - Guillaume Le Moing; Phongtharin Vinayavekhin; Don Joven Agravante; Tadanobu Inoue; Jayakorn Vongkulbhisal; Asim Munawar; Ryuki Tachibana (ICASSP, 2021)

Reinforcement Learning with External Knowledge by using Logical Neural Networks. - Daiki Kimura; Subhajit Chaudhury; Akifumi Wachi; Ryosuke Kohita; Asim Munawar; Michiaki Tatsubori; Alexander Gray 001 (CoRR, 2021)

How a shopping mall trip inspired me to work in neuro-symbolic AI. - Asim Munawar (Commun. ACM, 2022)

Learning Neuro-Symbolic World Models with Conversational Proprioception. - Don Joven Agravante; Daiki Kimura; Michiaki Tatsubori; Asim Munawar; Alexander Gray 001 (ACL (2), 2023)

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. - Subhajit Chaudhury; Sarathkrishna Swaminathan; Daiki Kimura; Prithviraj Sen; Keerthiram Murugesan; Rosario Uceda-Sosa; Michiaki Tatsubori; Achille Fokoue; Pavan Kapanipathi; Asim Munawar; Alexander Gray 001 (ACL (1), 2023)

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. - Young-Suk Lee 001; Md. Arafat Sultan; Yousef El-Kurdi; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos; Ramón Fernandez Astudillo (EMNLP (Findings), 2023)

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. - Hina Raja; Asim Munawar; Mohammad Delsoz; Mohammad Elahi; Yeganeh Madadi; Amr Hassan; Hashem Abu Serhan; Onur Inam; Luis Hermandez; Sang Tran; Wuqas Munir; Alaa A. Abd-alrazaq; et al. (CoRR, 2023)

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs. - Young-Suk Lee 001; Md. Arafat Sultan; Yousef El-Kurdi; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos; Ramón Fernandez Astudillo (CoRR, 2023)

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. - Kinjal Basu 002; Ibrahim Abdelaziz; Subhajit Chaudhury; Soham Dan; Maxwell Crouse; Asim Munawar; Vernon Austel; Sadhana Kumaravel; Vinod Muthusamy; Pavan Kapanipathi; Luis A. Lastras (ACL (1), 2024)

A Grounded Preference Model for LLM Alignment. - Tahira Naseem; Guangxuan Xu; Sarathkrishna Swaminathan; Asaf Yehudai; Subhajit Chaudhury; Radu Florian; Ramón Fernandez Astudillo; Asim Munawar (ACL (Findings), 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; G. P. Shrivatsa Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachindra Joshi; et al. (EMNLP (Industry Track), 2024)

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. - Gaurav Pandey 001; Yatin Nandwani; Tahira Naseem; Mayank Mishra; Guangxuan Xu; Dinesh Raghu; Sachindra Joshi; Asim Munawar; Ramón Fernandez Astudillo (ICML, 2024)

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. - Kinjal Basu 002; Ibrahim Abdelaziz; Subhajit Chaudhury; Soham Dan; Maxwell Crouse; Asim Munawar; Sadhana Kumaravel; Vinod Muthusamy; Pavan Kapanipathi; Luis A. Lastras (CoRR, 2024)

Self-Refinement of Language Models from External Proxy Metrics Feedback. - Keshav Ramji; Young-Suk Lee 001; Ramón Fernandez Astudillo; Md. Arafat Sultan; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos (CoRR, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - 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; et al. (CoRR, 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; GP Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachin Joshi; et al. (CoRR, 2024)

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. - Kinjal Basu 002; Ibrahim Abdelaziz; Kelsey Bradford; Maxwell Crouse; Kiran Kate; Sadhana Kumaravel; Saurabh Goyal; Asim Munawar; Yara Rizk; Xin Wang; Luis A. Lastras; Pavan Kapanipathi (CoRR, 2024)