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- Aditya Bhattacharya
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TU Darmstadt, Germany - Aditya H. Bhatt
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Publication search results
found 189 matches
- 2024
- Aditya Narayanan, Abhishek Bhat, Nagendra Krishnapura:
A 6 to 12-GHz Fractional-N Frequency Synthesizer With a Digital Technique to Counter Modulus-Dependent Feedback Divider Delays. IEEE J. Solid State Circuits 59(9): 2818-2830 (2024) - Aditya Bhattacharya:
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions. CHI Extended Abstracts 2024: 442:1-442:6 - Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert:
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. CHI 2024: 314:1-314:27 - Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters:
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR 2024 - Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. ICLR 2024 - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. UMAP (Adjunct Publication) 2024 - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
Representation Debiasing of Generated Data Involving Domain Experts. UMAP (Adjunct Publication) 2024 - Aditya Bhattacharya, Katrien Verbert:
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability. UMAP (Adjunct Publication) 2024 - Aditya Bhattacharya:
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions. CoRR abs/2401.04118 (2024) - Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele:
Automated Programmatic Performance Analysis of Parallel Programs. CoRR abs/2401.13150 (2024) - Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert:
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. CoRR abs/2402.00491 (2024) - Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover:
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR abs/2404.00530 (2024) - Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang:
On the relevance of pre-neural approaches in natural language processing pedagogy. CoRR abs/2405.09854 (2024) - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. CoRR abs/2405.13038 (2024) - Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz:
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. CoRR abs/2407.00263 (2024) - Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
Representation Debiasing of Generated Data Involving Domain Experts. CoRR abs/2407.09485 (2024) - Moritz Meser, Aditya Bhatt, Boris Belousov, Jan Peters:
MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench. CoRR abs/2408.00342 (2024) - 2023
- Aditya Lahiri, Haswanth Vundavilli, Madhurima Mondal, Pranabesh Bhattacharjee, Brian Decker, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta:
Drug Target Identification in Triple Negative Breast Cancer Stem Cell Pathways: A Computational Study of Gene Regulatory Pathways Using Boolean Networks. IEEE Access 11: 56672-56690 (2023) - Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal:
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. 136: 110099 (2023) - Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain:
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023) - Jonghak Yuh, Yen-Lung Jason Li, Heguang Li, Yoshihiro Oyama, Cynthia Hsu, Pradeep Anantula, Gwang Yeong Stanley Jeong, Anirudh Amarnath, Siddhesh Darne, Sneha Bhatia, Tianyu Tang, Aditya Arya, Naman Rastogi, Naoki Ookuma, Hiroyuki Mizukoshi, Alex Yap, Demin Wang, Steve Kim, Yonggang Wu, Min Peng, Jason Lu, Tommy Ip, Seema Malhotra, Taekeun Han, Masatoshi Okumura, Jiwen Liu, Jeongduk John Sohn, Hardwell Chibvongodze, Muralikrishna Balaga, Akihiro Matsuda, Chen Chen, Indra K. V, V. S. N. K. Chaitanya G., Venky Ramachandra, Yosuke Kato, Ravi Kumar, Huijuan Wang, Farookh Moogat, In-Soo Yoon, Kazushige Kanda, Takahiro Shimizu, Noboru Shibata, Kosuke Yanagidaira, Takuyo Kodama, Ryo Fukuda, Yasuhiro Hirashima, Mitsuhiro Abe:
A 1-Tb 4-b/cell 4-Plane 162-Layer 3-D Flash Memory With 2.4-Gb/s IO Interface. IEEE J. Solid State Circuits 58(1): 316-328 (2023) - Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89: 102888 (2023) - Kaveri Kale, Pushpak Bhattacharyya, Aditya Shetty, Milind Gune, Kush Shrivastava, Rustom Lawyer, Spriha Biswas:
"Knowledge is Power": Constructing Knowledge Graph of Abdominal Organs and Using Them for Automatic Radiology Report Generation. ACL (industry) 2023: 11-24 - Mireille Rodrigues, Nicolas A. Burgess, Aditya H. Bhatt, Stefano Leonardi, Armin Zare:
Robustness of two-dimensional stochastic dynamical wake models for yawed wind turbines. ACC 2023: 818-823 - Pranabesh Bhattacharjee, Aditya Lahiri, Norman Peter Reeves, Aniruddha Datta:
Precision Targeting of Non-Small Cell Lung Cancer: Identifying Optimal Drug Targets and FDA-Approved Combinations for Enhanced Therapeutic Efficacy. BIBE 2023: 230-237 - Aditya Mulgundkar, Mayank Singh, Munjaal Bhatt, Prudhvi Raj Turlapati, Deepak Gangadharan, Harikumar Kandath:
Fault Detection and Isolation on a Hexacopter UAV Using a Two-Stage Classification Method. CASE 2023: 1-6 - Shripad Bhatlawande, Aditya Patil, Akash Nachan, Swati Shilaskar, Tejas Nilangekar:
Machine Intelligence for Detection of Dents and Scratches on Car Body. OCIT 2023: 693-697 - Aditya Ahuja, R. Vigneswaran, M. A. Rajan, Sachin Lodha:
Myochain: A Blockchain Protocol for Delay Bounded Transaction Confirmation. COMSNETS 2023: 114-118 - Kaveri Kale, Pushpak Bhattacharyya, Milind Gune, Aditya Shetty, Rustom Lawyer:
KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation. EACL 2023: 3393-3403 - Chandradeep Bhatt, Aditya Garg, Rahul Chauhan, Pashupati Bhatt, Teekam Singh:
Implementation Of Fitness Application Using Flutter. ICCCNT 2023: 1-7
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