Subhajit Chaudhury

83 papers A* 8A 2B 3C 2Misc 5Journal 46Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Building a Foundational Guardrail for General Agentic Systems via Synthetic Data. CoRR Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang
2025	J	`jnl`	Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks? CoRR Payel Das, Ching-Yun Ko, Sihui Dai, Georgios Kollias, Subhajit Chaudhury, Aurélie C. Lozano
2025	—	`conf`	EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. ACL (1) Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer
2025	J	`jnl`	EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. CoRR Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer
2025	—	`conf`	Granite Guardian: Comprehensive LLM Safeguarding. NAACL (Industry Track) Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2025	A*	`conf`	Large Language Models can Become Strong Self-Detoxifiers. ICLR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025	J	`jnl`	LongFuncEval: Measuring the effectiveness of long context models for function calling. CoRR Kiran Kate, Tejaswini Pedapati, Kinjal Basu, Yara Rizk, Vijil Chenthamarakshan, Subhajit Chaudhury, Mayank Agarwal, Ibrahim Abdelaziz
2025	B	`conf`	On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. COLING Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
2025	J	`jnl`	Sparse Gradient Compression for Fine-Tuning Large Language Models. CoRR David H. Yang, Mohammad Mohammadi Amiri, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen
2025	A*	`conf`	TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. ICDE Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2024	—	`conf`	A Grounded Preference Model for LLM Alignment. ACL (Findings) Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar
2024	—	`conf`	API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024	J	`jnl`	API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024	Misc	`conf`	Adversarial Robustness of Convolutional Models Learned in the Frequency Domain. ICASSP Subhajit Chaudhury, Toshihiko Yamasaki
2024	J	`jnl`	Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
2024	—	`conf`	EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
2024	J	`jnl`	EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger
2024	J	`jnl`	Generation Constraint Scaling Can Mitigate Hallucination. CoRR Georgios Kollias, Payel Das, Subhajit Chaudhury
2024	J	`jnl`	Granite Guardian. CoRR Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martin Santillan Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024	J	`jnl`	Large Language Models can be Strong Self-Detoxifiers. CoRR Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024	A*	`conf`	Larimar: Large Language Models with Episodic Memory Control. ICML Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024	J	`jnl`	Larimar: Large Language Models with Episodic Memory Control. CoRR Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024	Misc	`conf`	Leveraging Visual Handicaps for Text-Based Reinforcement Learning. ICASSP Subhajit Chaudhury, Keerthiram Murugesan, Thomas Carta, Kartik Talamadupula, Michiaki Tatsubori
2024	J	`jnl`	Needle in the Haystack for Memory Based Large Language Models. CoRR Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, Soham Dan
2024	J	`jnl`	On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning. CoRR Maurício Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury
2024	J	`jnl`	TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2024	Misc	`conf`	Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
2023	J	`jnl`	LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
2023	—	`conf`	Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. ACL (1) Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
2023	J	`jnl`	Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. CoRR Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
2023	—	`conf`	Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023	J	`jnl`	Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023	—	`conf`	MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023	J	`jnl`	MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023	A*	`conf`	Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach. ICLR Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
2023	A*	`conf`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	J	`jnl`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	J	`jnl`	Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency. CoRR Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray
2023	—	`conf`	Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian
2022	A*	`conf`	Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents. AAAI Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula
2022	J	`jnl`	Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach. CoRR Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
2022	A*	`conf`	X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. EMNLP Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray
2021	J	`jnl`	Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models. IEEE Access Subhajit Chaudhury, Hiya Roy, Sourav Mishra, Toshihiko Yamasaki
2021	J	`jnl`	Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents. CoRR Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula
2021	J	`jnl`	Image inpainting using frequency-domain priors. J. Electronic Imaging Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto
2021	—	`conf`	LOA: Logical Optimal Actions for Text-based Interaction Games. ACL (demo) Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
2021	J	`jnl`	LOA: Logical Optimal Actions for Text-based Interaction Games. CoRR Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
2021	—	`conf`	Language-based General Action Template for Reinforcement Learning Agents. ACL/IJCNLP (Findings) Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar
2021	—	`conf`	Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar
2021	—	`conf`	Neuro-Symbolic Reinforcement Learning with First-Order Logic. EMNLP (1) Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2021	J	`jnl`	Neuro-Symbolic Reinforcement Learning with First-Order Logic. CoRR Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2021	J	`jnl`	Reinforcement Learning with External Knowledge by using Logical Neural Networks. CoRR Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray
2021	J	`jnl`	Robustness of Adaptive Neural Network Optimization Under Training Noise. IEEE Access Subhajit Chaudhury, Toshihiko Yamasaki
2021	J	`jnl`	Robustness of Deep Learning Models in Dermatological Evaluation: A Critical Assessment. IEICE Trans. Inf. Syst. Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki
2021	J	`jnl`	Toward Better Planetary Surface Exploration by Orbital Imagery Inpainting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto
2020	A	`conf`	Adversarial Discriminative Attention for Robust Anomaly Detection. WACV Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana
2020	J	`jnl`	Assessing Robustness of Deep learning Methods in Dermatological Workflow. CoRR Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki
2020	—	`conf`	Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. EMNLP (1) Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana
2020	J	`jnl`	Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. CoRR Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana
2020	J	`jnl`	Image inpainting using frequency domain priors. CoRR Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto
2020	Misc	`conf`	Investigating Generalization in Neural Networks Under Optimally Evolved Training Perturbations. ICASSP Subhajit Chaudhury, Toshihiko Yamasaki
2020	J	`jnl`	Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations. CoRR Subhajit Chaudhury, Toshihiko Yamasaki
2020	A*	`conf`	Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities. AAAI Subhajit Chaudhury
2020	J	`jnl`	Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. CoRR Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki
2020	J	`jnl`	VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning. CoRR Thomas Carta, Subhajit Chaudhury, Kartik Talamadupula, Michiaki Tatsubori
2019	C	`conf`	Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. MMSP Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana
2019	J	`jnl`	Lunar surface image restoration using U-net based deep neural networks. CoRR Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Danielle DeLatte, Makiko Ohtake, Tatsuaki Hashimoto
2019	C	`conf`	Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. ISM Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro
2018	J	`jnl`	Constrained Exploration and Recovery from Experience Shaping. CoRR Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana
2018	B	`conf`	Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. ICPR Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana
2018	J	`jnl`	Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. CoRR Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana
2018	J	`jnl`	Internal Model from Observations for Reward Shaping. CoRR Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta
2018	J	`jnl`	Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection. CoRR Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta
2018	B	`conf`	Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection. ICIP Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta
2018	J	`jnl`	Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. CoRR Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana
2017	Misc	`conf`	Can fully convolutional networks perform well for general image restoration problems? MVA Subhajit Chaudhury, Hiya Roy
2017	J	`jnl`	Conditional generation of multi-modal data using constrained embedding space mapping. CoRR Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
2017	A	`conf`	Spatial-Temporal Motion Field Analysis for Pixelwise Crack Detection on Concrete Surfaces. WACV Subhajit Chaudhury, Gaku Nakano, Jun Takada, Akihiko Iketani
2017	—	`conf`	Text to image generative model using constrained embedding space mapping. MLSP Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
2017	J	`jnl`	Transfer learning from synthetic to real images using variational autoencoders for robotic applications. CoRR Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta
2016	J	`jnl`	Can fully convolutional networks perform well for general image restoration problems? CoRR Subhajit Chaudhury, Hiya Roy
2014	—	`conf`	Vision Based Human Pose Estimation for Virtual Cloth Fitting. ICVGIP Sourav Saha, Pritha Ganguly, Subhajit Chaudhury
2014	—	`conf`	Volume preserving haptic pottery. HAPTICS Subhajit Chaudhury, Subhasis Chaudhuri