Subhro Das - RankMe

87 papers A* 17A 1B 5C 2Misc 7Journal 44Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Correlated Attention in Transformers for Multivariate Time Series. ICASSP Quang Minh Nguyen, Lam M. Nguyen, Subhro Das
2025	Misc	`conf`	Dilated Convolution for Time Series Learning. ICASSP Wang Zhang, Subhro Das, Lam M. Nguyen, Luca Daniel
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks. CoRR Anthony Baez, Wang Zhang, Ziwen Ma, Lam M. Nguyen, Subhro Das, Luca Daniel
2025	J	`jnl`	Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering. CoRR Guangtao Zeng, Maohao Shen, Delin Chen, Zhenting Qi, Subhro Das, Dan Gutfreund, David Cox, Gregory W. Wornell, Wei Lu, Zhang-Wei Hong, Chuang Gan
2025	A*	`conf`	Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. ICML Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan
2025	J	`jnl`	Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. CoRR Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Cox, Chuang Gan
2025	A*	`conf`	Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations. ICML Jeet Mohapatra, Nima Dehmamy, Csaba Both, Subhro Das, Tommi Jaakkola
2025	J	`jnl`	The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers. Trans. Mach. Learn. Res. Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David A. Sontag
2025	Misc	`conf`	Variance-reduced Clipping for Non-convex Optimization. ICASSP Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
2024	A*	`conf`	A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning. AAAI Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring, Subhro Das
2024	A*	`conf`	Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS Maohao Shen, Jongha Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
2024	J	`jnl`	Decentralized fused-learner architectures for Bayesian reinforcement learning. Artif. Intell. Augustin-Alexandru Saucan, Subhro Das, Moe Z. Win
2024	B	`conf`	Group Fairness with Uncertain Sensitive Attributes. ISIT Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
2024	J	`jnl`	Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks. CoRR Anthony Baez, Wang Zhang, Ziwen Martin Ma, Subhro Das, Lam M. Nguyen, Luca Daniel
2024	J	`jnl`	Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
2024	A*	`conf`	Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations. NeurIPS Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi S. Jaakkola
2024	A*	`conf`	One Step Closer to Unbiased Aleatoric Uncertainty Estimation. AAAI Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2024	J	`jnl`	The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers. CoRR Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David A. Sontag
2024	A*	`conf`	Thermometer: Towards Universal Calibration for Large Language Models. ICML Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh
2024	J	`jnl`	Thermometer: Towards Universal Calibration for Large Language Models. CoRR Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh
2023	A*	`conf`	Attacking c-MARL More Effectively: A Data Driven Approach. ICDM Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
2023	A*	`conf`	ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. ICML Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2023	J	`jnl`	ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction. CoRR Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2023	J	`jnl`	Correlated Attention in Transformers for Multivariate Time Series. CoRR Quang Minh Nguyen, Lam M. Nguyen, Subhro Das
2023	A*	`conf`	Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. NeurIPS Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
2023	J	`jnl`	Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. CoRR Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
2023	J	`jnl`	GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. SIAM J. Math. Data Sci. Farzan Farnia, William W. Wang, Subhro Das, Ali Jadbabaie
2023	J	`jnl`	Group Fairness with Uncertainty in Sensitive Attributes. CoRR Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
2023	J	`jnl`	Label-Free Concept Bottleneck Models. CoRR Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng
2023	A*	`conf`	Label-free Concept Bottleneck Models. ICLR Tuomas P. Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng
2023	J	`jnl`	Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. CoRR Yingying Li, Tianpeng Zhang, Subhro Das, Jeff S. Shamma, Na Li
2023	J	`jnl`	One step closer to unbiased aleatoric uncertainty estimation. CoRR Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen
2023	A*	`conf`	Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
2023	—	`conf`	Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
2023	J	`jnl`	Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
2023	J	`jnl`	Variance-reduced Clipping for Non-convex Optimization. CoRR Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
2023	A	`conf`	Who Should Predict? Exact Algorithms For Learning to Defer to Humans. AISTATS Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
2023	J	`jnl`	Who Should Predict? Exact Algorithms For Learning to Defer to Humans. CoRR Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
2022	—	`conf`	An Alternative Approach for Distributed Parameter Estimation Under Gaussian Settings. MLSP Subhro Das
2022	J	`jnl`	An alternative approach for distributed parameter estimation under Gaussian settings. CoRR Subhro Das
2022	B	`conf`	Better Skill-based Job Representations, Assessed via Job Transition Data. IEEE Big Data Tyler Baldwin, Wyatt Clarke, Maysa M. Garcia de Macedo, Rogério de Paula, Subhro Das
2022	A*	`conf`	Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. ICML Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie
2022	J	`jnl`	Evaluating Robustness of Cooperative MARL: A Model-based Approach. CoRR Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
2022	B	`conf`	Learning skills adjacency representations for optimized reskilling recommendations. IEEE Big Data Saksham Gandhi, Raj Nagesh, Subhro Das
2022	A*	`conf`	On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
2022	J	`jnl`	On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
2022	—	`conf`	On observability and optimal gain design for distributed linear filtering and prediction. EUSIPCO Subhro Das
2022	J	`jnl`	On observability and optimal gain design for distributed linear filtering and prediction. CoRR Subhro Das
2022	J	`jnl`	Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
2022	C	`conf`	Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. AIES Maysa Malfiza Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério Abreu de Paula, Subhro Das
2022	J	`jnl`	Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics. CoRR Maysa M. Garcia de Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz Neto, Rogério de Paula, Subhro Das
2022	A*	`conf`	Selective Regression under Fairness Criteria. ICML Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
2021	A*	`conf`	Fair Selective Classification Via Sufficiency. ICML Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell
2021	B	`conf`	IF: Iterative Fractional Optimization. ESANN Sarthak Chatterjee, Subhro Das, Sérgio Pequito
2021	—	`conf`	On Multisensor Activation Policies for Bernoulli Tracking. MILCOM Augustin-Alexandru Saucan, Subhro Das, Moe Z. Win
2021	A*	`conf`	Online Optimal Control with Affine Constraints. AAAI Yingying Li, Subhro Das, Na Li
2021	J	`jnl`	Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. CoRR Yingying Li, Subhro Das, Jeff S. Shamma, Na Li
2021	J	`jnl`	Selective Regression Under Fairness Criteria. CoRR Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
2021	—	`conf`	Verifiably safe exploration for end-to-end reinforcement learning. HSCC Nathan Hunt, Nathan Fulton, Sara Magliacane, Trong Nghia Hoang, Subhro Das, Armando Solar-Lezama
2020	J	`jnl`	A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm. CoRR Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito
2020	J	`jnl`	Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges. CoRR Nathan Fulton, Nathan Hunt, Nghia Hoang, Subhro Das
2020	J	`jnl`	GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. CoRR Farzan Farnia, William W. Wang, Subhro Das, Ali Jadbabaie
2020	—	`conf`	Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2020	—	`conf`	Learning Interpretable Behavioral Engagement for Care Management. MIE Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh
2020	C	`conf`	Learning Occupational Task-Shares Dynamics for the Future of Work. AIES Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming
2020	J	`jnl`	Learning Occupational Task-Shares Dynamics for the Future of Work. CoRR Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming
2020	J	`jnl`	Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift. CoRR Subhro Das, Prasanth Lade, Soundar Srinivasan
2020	J	`jnl`	Online Optimal Control with Affine Constraints. CoRR Yingying Li, Subhro Das, Na Li
2020	J	`jnl`	Stochastic Optimization with Non-stationary Noise. CoRR Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie
2020	J	`jnl`	Verifiably Safe Exploration for End-to-End Reinforcement Learning. CoRR Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama
2019	J	`jnl`	An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE J. Biomed. Health Informatics Zhiguo Li, Subhro Das, James V. Codella, Tian Hao, Kun Lin, Chandramouli Maduri, Ching-Hua Chen
2019	J	`jnl`	Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2019	J	`jnl`	Learning Patient Engagement in Care Management: Performance vs. Interpretability. CoRR Subhro Das, Chandramouli Maduri, Ching-Hua Chen, Pei-Yun Sabrina Hsueh
2018	Misc	`conf`	Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records. AMIA Pei-Yun Sabrina Hsueh, Subhro Das, Chandramouli Maduri, Karie Kelly
2017	B	`conf`	A Personalized Pacing System for Real-Time Physical Activity Advising. CHASE Hung-Yang Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James V. Codella, Ching-Hua Chen
2017	J	`jnl`	Consensus+Innovations Distributed Kalman Filter With Optimized Gains. IEEE Trans. Signal Process. Subhro Das, José M. F. Moura
2017	J	`jnl`	Distributed Estimation of Dynamic Fields over Multi-agent Networks. CoRR Subhro Das, José M. F. Moura
2017	Misc	`conf`	Interpretable Clustering for Prototypical Patient Understanding: A Case Study of Hypertension and Depression Subgroup Behavioral Profiling in National Health and Nutrition Examination Survey Data. AMIA Pei-Yun Sabrina Hsueh, Subhro Das
2017	—	`conf`	Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better". MedInfo Pei-Yun Sabrina Hsueh, Sanjoy Dey, Subhro Das, Thomas Wetter
2016	J	`jnl`	Consensus+Innovations Distributed Kalman Filter with Optimized Gains. CoRR Subhro Das, José M. F. Moura
2016	—	`—`	Distributed Linear Filtering and Prediction of Time-varying Random Fields. Subhro Das
2015	J	`jnl`	Distributed Kalman Filtering With Dynamic Observations Consensus. IEEE Trans. Signal Process. Subhro Das, José M. F. Moura
2013	Misc	`conf`	Distributed Kalman filtering and Network Tracking Capacity. ACSSC Subhro Das, José M. F. Moura
2013	—	`conf`	Distributed Kalman filtering. EUSIPCO Subhro Das, José M. F. Moura
2013	—	`conf`	Distributed linear estimation of dynamic random fields. Allerton Subhro Das, José M. F. Moura
2013	Misc	`conf`	Distributed state estimation in multi-agent networks. ICASSP Subhro Das, José M. F. Moura