Subhrajit Roy - RankMe

58 papers A* 3B 4C 2Journal 30Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Safety Alignment Should be Made More Than Just a Few Tokens Deep. ICLR Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
2024	A*	`conf`	Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2024	J	`jnl`	Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
2023	J	`jnl`	Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2023	J	`jnl`	Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. Trans. Mach. Learn. Res. Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
2023	J	`jnl`	Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
2023	J	`jnl`	STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. CoRR Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy
2022	J	`jnl`	Boosting the interpretability of clinical risk scores with intervention predictions. CoRR Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Mingjun Chen
2022	J	`jnl`	Developing robust benchmarks for driving forward AI innovation in healthcare. Nat. Mac. Intell. Diana Mincu, Subhrajit Roy
2022	A*	`conf`	Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
2022	—	`conf`	Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022	J	`jnl`	Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022	—	`conf`	Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022	J	`jnl`	Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022	J	`jnl`	Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
2021	J	`jnl`	A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott
2021	—	`conf`	Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer
2021	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. ML4H@NeurIPS Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer
2021	J	`jnl`	Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. J. Am. Medical Informatics Assoc. Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne
2020	J	`jnl`	ML4H Abstract Track 2020. CoRR Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
2020	—	`conf`	Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland
2020	—	`ed.`	Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020 ML4H@NeurIPS Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
2020	—	`conf`	SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification. MLCN/RNO-AI@MICCAI Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
2019	J	`jnl`	A semi-supervised deep learning algorithm for abnormal EEG identification. CoRR Subhrajit Roy, Kiran Kate, Martin Hirzel
2019	B	`conf`	ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. AIME Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
2019	J	`jnl`	Machine Learning for Seizure Type Classification: Setting the benchmark. CoRR Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer
2019	—	`conf`	Privacy Preserving Human Fall Detection using Video Data. ML4H@NeurIPS Umar Asif, Benjamin S. Mashford, Stefan von Cavallar, Shivanthan A. C. Yohanandan, Subhrajit Roy, Jianbin Tang, Stefan Harrer
2019	J	`jnl`	SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection. CoRR Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
2019	J	`jnl`	Type-Driven Automated Learning with Lale. CoRR Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram
2018	J	`jnl`	ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. CoRR Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
2018	—	`conf`	Deep Learning Enabled Automatic Abnormal EEG Identification. EMBC Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
2018	J	`jnl`	Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis. Neural Comput. Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu
2017	J	`jnl`	An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Subhrajit Roy, Arindam Basu
2016	C	`conf`	A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks. ISCAS Govind Narasimman, Subhrajit Roy, Xuanyao Fong, Kaushik Roy, Chip-Hong Chang, Arindam Basu
2016	J	`jnl`	An Online Structural Plasticity Rule for Generating Better Reservoirs. CoRR Subhrajit Roy, Arindam Basu
2016	J	`jnl`	An Online Structural Plasticity Rule for Generating Better Reservoirs. Neural Comput. Subhrajit Roy, Arindam Basu
2016	J	`jnl`	Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Trans. Neural Networks Learn. Syst. Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu
2016	—	`conf`	Online unsupervised structural plasticity algorithm for multi-layer Winner-Take-All with binary synapses. ISIC Subhrajit Roy, He Tong, Arindam Basu
2015	C	`conf`	A current-mode spiking neural classifier with lumped dendritic nonlinearity. ISCAS Amitava Banerjee, Sougata Kar, Subhrajit Roy, Aritra Bhaduri, Arindam Basu
2015	J	`jnl`	An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. CoRR Subhrajit Roy, Arindam Basu
2015	J	`jnl`	Learning Spike time codes through Morphological Learning with Binary Synapses. CoRR Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu
2014	—	`conf`	Architectural exploration for on-chip, online learning in spiking neural networks. ISIC Subhrajit Roy, Sougata Kumar Kar, Arindam Basu
2014	J	`jnl`	Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations. IEEE Trans. Biomed. Circuits Syst. Subhrajit Roy, Amitava Banerjee, Arindam Basu
2014	J	`jnl`	Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations. CoRR Subhrajit Roy, Amitava Banerjee, Arindam Basu
2013	—	`conf`	A Modified Differential Evolution for Symbol Detection in MIMO-OFDM System. SEMCCO (1) Aritra Sen, Subhrajit Roy, Swagatam Das
2013	—	`conf`	Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines. BioCAS Subhrajit Roy, Arindam Basu, Shaista Hussain
2013	J	`jnl`	Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers. Appl. Soft Comput. Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh
2012	J	`jnl`	A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. Inf. Sci. Saurav Ghosh, Swagatam Das, Subhrajit Roy, Sk. Minhazul Islam, Ponnuthurai N. Suganthan
2012	B	`conf`	A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. IEEE Congress on Evolutionary Computation Subhrajit Roy, Saúl Zapotecas Martínez, Carlos A. Coello Coello, Soumyadip Sengupta
2012	J	`jnl`	An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh, Subhrajit Roy, Ponnuthurai Nagaratnam Suganthan
2011	B	`conf`	A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks. IEEE Congress on Evolutionary Computation Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Subhrajit Roy
2011	—	`conf`	A differential covariance matrix adaptation evolutionary algorithm for global optimization. SDE Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
2011	—	`conf`	A modified differential evolution for autonomous deployment and localization of sensor nodes. GECCO (Companion) Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer
2011	—	`conf`	Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach. SEMCCO (2) Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
2011	—	`conf`	Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach. SEMCCO (2) Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
2011	B	`conf`	Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation Saurav Ghosh, Subhrajit Roy, Swagatam Das, Ajith Abraham, Sk. Minhazul Islam
2011	—	`conf`	Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach. SEMCCO (2) Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
2010	—	`conf`	Adaptive Differential Evolution with SEMCCO Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Swagatam Das