Dhireesha Kudithipudi

134 papers A 2B 7C 6Misc 3Journal 64Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Minion gated recurrent unit for continual learning. Neurocomputing Abdullah M. Zyarah, Dhireesha Kudithipudi
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2025	—	`conf`	Does Alignment help continual learning? CLD2 Anurag Reddy Daram, Dhireesha Kudithipudi
2025	J	`jnl`	Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning. CoRR Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi
2025	J	`jnl`	M2RU: Memristive Minion Recurrent Unit for On-Chip Continual Learning at the Edge. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2025	J	`jnl`	Minion Gated Recurrent Unit for Continual Learning. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2025	J	`jnl`	Reservoir Network with Structural Plasticity for Human Activity Recognition. CoRR Abdullah M. Zyarah, Alaa M. Abdul-Hadi, Dhireesha Kudithipudi
2025	J	`jnl`	Temporal Chunking Enhances Recognition of Implicit Sequential Patterns. CoRR Jayanta Dey, Nicholas Soures, Miranda Gonzales, Itamar Lerner, Christopher Kanan, Dhireesha Kudithipudi
2025	J	`jnl`	Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System. ACM Trans. Embed. Comput. Syst. Abdullah M. Zyarah, Dhireesha Kudithipudi
2025	J	`jnl`	Voltage Mode Winner-Take-All Circuit for Neuromorphic Systems. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2024	—	`conf`	Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design. AAAI Spring Symposia Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi
2024	J	`jnl`	Continual Learning and Catastrophic Forgetting. CoRR Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
2024	—	`conf`	Energy Efficiency Scaling for 2 Decades (EES2) Roadmap for Computing. HPEC T. Kaarsberg, J. Atulasimha, J. Baniecki, P. Fischer, S. Pawlowski, S. Misra, A. Bhavnagarwala, E. Salman, M. Ahmed, N. Li, R. Aggarwal, B. Hirano, T. Shah, C. Green, J. Booth, P. Sharps, T. McDonald, J. Ballard, Y. Chen, P. Nagapurkar, W. Huang, Dhireesha Kudithipudi, A. Paramonov, F. Musso, A. K. Ziabari, J. Luo, A. K. Petford-Long, D. Gopman, C. Gotama, T. Wei, S. Shaheen, Y. Zhang, I. Lu, K. Shimizu, E. Taylor, N. Johnson, R. Jones, S. Shankar
2024	J	`jnl`	Learning Continually in Silicon. Computer Nicholas Soures, Jayanta Dey, Dhireesha Kudithipudi
2024	—	`conf`	PositCL: Compact Continual Learning with Posit Aware Quantization. ACM Great Lakes Symposium on VLSI Vedant Karia, Abdullah M. Zyarah, Dhireesha Kudithipudi
2024	J	`jnl`	Probabilistic Metaplasticity for Continual Learning with Memristors. CoRR Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi
2024	J	`jnl`	Reservoir Network With Structural Plasticity for Human Activity Recognition. IEEE Trans. Emerg. Top. Comput. Intell. Abdullah M. Zyarah, Alaa M. Abdul-Hadi, Dhireesha Kudithipudi
2024	J	`jnl`	TACOS: Task Agnostic Continual Learning in Spiking Neural Networks. CoRR Nicholas Soures, Peter Helfer, Anurag Reddy Daram, Tej Pandit, Dhireesha Kudithipudi
2024	J	`jnl`	Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2024	J	`jnl`	Watch Your Step: Optimal Retrieval for Continual Learning at Scale. CoRR Truman Hickok, Dhireesha Kudithipudi
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
2023	—	`conf`	Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
2023	J	`jnl`	Design Principles for Lifelong Learning AI Accelerators. CoRR Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein
2023	—	`conf`	NEO: Neuron State Dependent Mechanisms for Efficient Continual Learning. NICE Anurag Reddy Daram, Dhireesha Kudithipudi
2023	—	`ed.`	Neuro-Inspired Computational Elements Conference, NICE2023, San Antonio, TX, USA, April 11-14, 2023. NICE Dhireesha Kudithipudi, Charlotte Frenkel, Suma Cardwell, James B. Aimone
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
2022	—	`conf`	ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML. CoNGA Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Becky Mashaido, Dhireesha Kudithipudi
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann
2022	—	`conf`	Low-Shot Learning and Pattern Separation using Cellular Automata Integrated CNNs. ICONS Tej Pandit, Dhireesha Kudithipudi
2022	C	`conf`	SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. ISCAS Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi
2021	—	`conf`	ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. CVPR Workshops Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi
2021	C	`conf`	MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning. ISCAS Fatima Tuz Zohora, Vedant Karia, Anurag Reddy Daram, Abdullah M. Zyarah, Dhireesha Kudithipudi
2021	J	`jnl`	TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT. CoRR Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi
2021	J	`jnl`	Toward Near-Real-Time Training With Semi-Random Deep Neural Networks and Tensor-Train Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Humza Syed, Ryan Bryla, Uttam K. Majumder, Dhireesha Kudithipudi
2020	—	`conf`	Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge. CVPR Workshops Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi
2020	J	`jnl`	End-to-End Memristive HTM System for Pattern Recognition and Sequence Prediction. CoRR Abdullah M. Zyarah, Kevin Gomez, Dhireesha Kudithipudi
2020	—	`conf`	FeFET-Based Neuromorphic Architecture with On-Device Feedback Alignment Training. ISQED Sumin Jot, Abdullah M. Zyarah, Santosh Kurinec, Kai Ni, Fatima Tuz Zohora, Dhireesha Kudithipudi
2020	C	`conf`	Metaplasticity in Multistate Memristor Synaptic Networks. ISCAS Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
2020	J	`jnl`	Metaplasticity in Multistate Memristor Synaptic Networks. CoRR Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
2020	J	`jnl`	Neuromorphic System for Spatial and Temporal Information Processing. IEEE Trans. Computers Abdullah M. Zyarah, Kevin Gomez, Dhireesha Kudithipudi
2020	—	`conf`	Relational Neurogenesis for Lifelong Learning Agents. NICE Tej Pandit, Dhireesha Kudithipudi
2019	J	`jnl`	Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting. CoRR Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi
2019	J	`jnl`	Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge. CoRR Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi
2019	J	`jnl`	Deep Learning Training on the Edge with Low-Precision Posits. CoRR Hamed Fatemi Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi
2019	A	`conf`	Deep Positron: A Deep Neural Network Using the Posit Number System. DATE Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
2019	B	`conf`	Exploiting Randomness in Deep Learning Algorithms. IJCNN Hamed Fatemi Langroudi, Cory E. Merkel, Humza Syed, Dhireesha Kudithipudi
2019	J	`jnl`	Guest Editorial: Special Issue on New Trends in Smart Chips and Smart Hardware. IEEE Trans. Emerg. Top. Comput. Intell. Guang-Bin Huang, E. S. Eleftheriou, Dhireesha Kudithipudi, Jonathan Tapson, Hao Yu
2019	J	`jnl`	Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis. ACM J. Emerg. Technol. Comput. Syst. Abdullah M. Zyarah, Dhireesha Kudithipudi
2019	B	`conf`	Neuromemristive Multi-Layer Random Projection Network with On-Device Learning. IJCNN Abdullah M. Zyarah, Dhireesha Kudithipudi
2019	J	`jnl`	Neuromorphic Architecture for the Hierarchical Temporal Memory. IEEE Trans. Emerg. Top. Comput. Intell. Abdullah M. Zyarah, Dhireesha Kudithipudi
2019	J	`jnl`	Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks. CoRR Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
2019	J	`jnl`	Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengths. IEEE Signal Process. Mag. Nicholas Soures, Dhireesha Kudithipudi
2019	—	`conf`	Stochastic Tucker-Decomposed Recurrent Neural Networks for Forecasting. GlobalSIP Zachariah Carmichael, Dhireesha Kudithipudi
2019	—	`conf`	Task-Based Neuromodulation Architecture for Lifelong Learning. ISQED Anurag Reddy Daram, Dhireesha Kudithipudi, Angel Yanguas-Gil
2018	—	`conf`	Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit. EMC2@ASPLOS Seyed Hamed Fatemi Langroudi, Tej Pandit, Dhireesha Kudithipudi
2018	J	`jnl`	Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit. CoRR Seyed Hamed Fatemi Langroudi, Tej Pandit, Dhireesha Kudithipudi
2018	J	`jnl`	Deep Positron: A Deep Neural Network Using the Posit Number System. CoRR Zachariah Carmichael, Seyed Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi
2018	J	`jnl`	Mod-DeepESN: Modular Deep Echo State Network. CoRR Zachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi
2018	J	`jnl`	Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2018	J	`jnl`	Neuromorphic Architecture for the Hierarchical Temporal Memory. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2018	J	`jnl`	Neuromorphic and cognitive computing and communication in hardware. Nano Commun. Networks Yang Cindy Yi, Dhireesha Kudithipudi
2018	J	`jnl`	On the Statistical Challenges of Echo State Networks and Some Potential Remedies. CoRR Qiuyi Wu, Ernest Fokoué, Dhireesha Kudithipudi
2018	C	`conf`	On-Device Learning in Memristor Spiking Neural Networks. ISCAS Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
2018	—	`conf`	Scalable IP Core for Feed Forward Random Networks. ELM Anurag Reddy Daram, Karan Paluru, Vedant Karia, Dhireesha Kudithipudi
2018	Misc	`conf`	Secure Neural Circuits to Mitigate Correlation Power Analysis on SHA-3 Hash Function. VLSID James Thesing, Dhireesha Kudithipudi
2018	J	`jnl`	Semi-Trained Memristive Crossbar Computing Engine with ACM J. Emerg. Technol. Comput. Syst. Abdullah M. Zyarah, Dhireesha Kudithipudi
2018	J	`jnl`	Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator. CoRR Abdullah M. Zyarah, Dhireesha Kudithipudi
2017	B	`conf`	A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence. IJCNN Ernest Fokoué, Lakshmi Ravi, Dhireesha Kudithipudi
2017	—	`conf`	Convolutional Drift Networks for Video Classification. ICRC Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi
2017	J	`jnl`	Convolutional Drift Networks for Video Classification. CoRR Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi
2017	J	`jnl`	Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang
2017	B	`conf`	Extreme learning machine as a generalizable classification engine. IJCNN Abdullah M. Zyarah, Dhireesha Kudithipudi
2017	J	`jnl`	HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition. IEEE Trans. Biomed. Circuits Syst. Alex Pappachen James, Irina Fedorova, Timur Ibrayev, Dhireesha Kudithipudi
2017	—	`conf`	Invited paper: Resource sharing in feed forward neural networks for energy efficiency. MWSCAS Abdullah M. Zyarah, Dhireesha Kudithipudi
2017	—	`conf`	On accelerating stochastic neural networks. NANOCOM Swathika Ramakrishnan, Dhireesha Kudithipudi
2017	—	`conf`	On-device STDP and synaptic normalization for neuromemristive spiking neural network. MWSCAS Nicholas Soures, Lydia Hays, Eric Bohannon, Abdullah M. Zyarah, Dhireesha Kudithipudi
2017	J	`jnl`	Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm. IEEE Consumer Electron. Mag. Nicholas Soures, Corey Merkel, Dhireesha Kudithipudi, Clare Thiem, Nathan R. McDonald
2017	B	`conf`	Robustness of a memristor based liquid state machine. IJCNN Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi
2017	J	`jnl`	Stochastic CBRAM-Based Neuromorphic Time Series Prediction System. ACM J. Emerg. Technol. Comput. Syst. Cory E. Merkel, Dhireesha Kudithipudi, Manan Suri, Bryant T. Wysocki
2017	C	`conf`	Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks. ISCAS Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi
2016	J	`jnl`	A Mathematical Formalization of Hierarchical Temporal Memory Cortical Learning Algorithm's Spatial Pooler. CoRR James Mnatzaganian, Ernest Fokoué, Dhireesha Kudithipudi
2016	J	`jnl`	A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler. Frontiers Robotics AI James Mnatzaganian, Ernest Fokoué, Dhireesha Kudithipudi
2016	C	`conf`	A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits. ISCAS Timur Ibrayev, Alex Pappachen James, Cory E. Merkel, Dhireesha Kudithipudi
2016	—	`conf`	Digital neuromorphic design of a Liquid State Machine for real-time processing. ICRC Anvesh Polepalli, Nicholas Soures, Dhireesha Kudithipudi
2016	—	`conf`	Invited: Towards a scalable neuromorphic hardware for classification and prediction with stochastic No-Prop algorithms. ISQED Dan Christiani, Cory E. Merkel, Dhireesha Kudithipudi
2016	J	`jnl`	Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella
2016	J	`jnl`	Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling. CoRR Lennard Streat, Dhireesha Kudithipudi, Kevin Gomez
2016	—	`conf`	Reconfigurable Digital Design of a Liquid State Machine for Spatio-Temporal Data. NANOCOM Anvesh Polepalli, Dhireesha Kudithipudi
2016	J	`jnl`	Unsupervised Learning in Neuromemristive Systems. CoRR Cory E. Merkel, Dhireesha Kudithipudi
2015	Misc	`conf`	Comparison of Off-Chip Training Methods for Neuromemristive Systems. VLSID Cory E. Merkel, Dhireesha Kudithipudi
2015	—	`conf`	Design and analysis of neuromemristive echo state networks with limited-precision synapses. CISDA Colin Donahue, Cory E. Merkel, Qutaiba Saleh, Levs Dolgovs, Yu Kee Ooi, Dhireesha Kudithipudi, Bryant T. Wysocki
2015	—	`conf`	Memristive computational architecture of an echo state network for real-time speech-emotion recognition. CISDA Qutaiba Saleh, Cory E. Merkel, Dhireesha Kudithipudi, Bryant T. Wysocki
2015	—	`conf`	Reconfigurable hardware architecture of the spatial pooler for hierarchical temporal memory. SoCC Abdullah M. Zyarah, Dhireesha Kudithipudi
2014	—	`conf`	A current-mode CMOS/memristor hybrid implementation of an extreme learning machine. ACM Great Lakes Symposium on VLSI Cory E. Merkel, Dhireesha Kudithipudi
2014	—	`conf`	A stochastic learning algorithm for neuromemristive systems. SoCC Cory E. Merkel, Dhireesha Kudithipudi
2014	—	`ch.`	Design of Neuromorphic Architectures with Memristors. Network Science and Cybersecurity Dhireesha Kudithipudi, Cory E. Merkel, Michael Soltiz, Garrett S. Rose, Robinson E. Pino
2014	—	`conf`	Memristive Reservoir Computing Architecture for Epileptic Seizure Detection. BICA Cory E. Merkel, Qutaiba Saleh, Colin Donahue, Dhireesha Kudithipudi
2014	—	`ch.`	Nanoelectronics and Hardware Security. Network Science and Cybersecurity Garrett S. Rose, Dhireesha Kudithipudi, Ganesh Khedkar, Nathan R. McDonald, Bryant T. Wysocki, Lok-Kwong Yan
2014	—	`conf`	Neuromemristive Extreme Learning Machines for Pattern Classification. ISVLSI Cory E. Merkel, Dhireesha Kudithipudi
2014	—	`conf`	On designing circuit primitives for cortical processors with memristive hardware. SoCC Dhireesha Kudithipudi, Cory E. Merkel, Yu Kee Ooi, Qutaiba Saleh, Garrett S. Rose
2014	J	`jnl`	Temperature Sensing RRAM Architecture for 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. Cory E. Merkel, Dhireesha Kudithipudi
2013	J	`jnl`	Memristor-Based Neural Logic Blocks for Nonlinearly Separable Functions. IEEE Trans. Computers Michael Soltiz, Dhireesha Kudithipudi, Cory E. Merkel, Garrett S. Rose, Robinson E. Pino
2013	B	`conf`	Periodic activation functions in memristor-based analog neural networks. IJCNN Cory E. Merkel, Dhireesha Kudithipudi, Nick Sereni
2013	—	`ch.`	Thermal Management in Many Core Systems. Evolutionary Based Solutions for Green Computing Dhireesha Kudithipudi, Qinru Qiu, Ayse K. Coskun
2012	—	`conf`	Design-time performance evaluation of thermal management policies for SRAM and RRAM based 3D MPSoCs. ACM Great Lakes Symposium on VLSI David Brenner, Cory E. Merkel, Dhireesha Kudithipudi
2012	—	`conf`	Lightweight energy prediction framework for solar-powered wireless sensor networks. SoCC Cory E. Merkel, Dhireesha Kudithipudi, Andres Kwasinski
2012	—	`conf`	RRAM Motifs for Mitigating Differential Power Analysis Attacks (DPA). ISVLSI Ganesh Khedkar, Dhireesha Kudithipudi
2012	—	`conf`	RRAM-based adaptive neural logic block for implementing non-linearly separable functions in a single layer. NANOARCH Michael Soltiz, Cory E. Merkel, Dhireesha Kudithipudi, Garrett S. Rose
2012	—	`conf`	Reconfigurable RRAM for LUT logic mapping: A case study for reliability enhancement. SoCC Matthew Catanzaro, Dhireesha Kudithipudi
2012	—	`ch.`	Subthreshold Computing. Handbook of Energy-Aware and Green Computing J. Kevin Hicks, Dhireesha Kudithipudi
2012	—	`conf`	Temperature-aware computing: Achievements and remaining challenges. IGCC Dhireesha Kudithipudi, Ayse K. Coskun, Sherief Reda, Qinru Qiu
2012	Misc	`conf`	Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures. VLSI Design Cory E. Merkel, Dhireesha Kudithipudi
2011	—	`conf`	Cooling mechanisms in 3D ICs: Thermo-mechanical perspective. IGCC Satish G. Kandlikar, Dhireesha Kudithipudi, Carlos A. Rubio-Jimenez
2011	J	`jnl`	Execution characteristics of embedded applications on a Pentium 4-based personal computer. J. Embed. Comput. Pradeep S. Nair, Dhireesha Kudithipudi, Eugene B. John, Fred W. Hudson
2011	J	`jnl`	Hybrid Subthreshold and Nearthreshold Design Methodology for Energy Minimization. J. Low Power Electron. J. Kevin Hicks, Dhireesha Kudithipudi
2011	B	`conf`	Reconfigurable N-level memristor memory design. IJCNN Cory E. Merkel, Nakul Nagpal, Sindhura Mandalapu, Dhireesha Kudithipudi
2010	J	`jnl`	Characterization of Variation Aware Nanoscale Static Random Access Memory Designs. J. Low Power Electron. Sreeharsha Tavva, Dhireesha Kudithipudi
2010	—	`conf`	Performance enhancement of subthreshold circuits using substrate biasing and charge-boosting buffers. ACM Great Lakes Symposium on VLSI Sumanth Amarchinta, Dhireesha Kudithipudi
2010	—	`conf`	Towards integrated circuit thermal profiling for reduced power consumption: Evaluation of distributed sensing techniques. Green Computing Conference Andres Kwasinski, Dhireesha Kudithipudi
2010	—	`conf`	Ultra low energy standard cell design optimization for performance and placement algorithm. Green Computing Conference Sumanth Amarchinta, Dhireesha Kudithipudi
2010	—	`conf`	Variation tolerant 9T SRAM cell design. ACM Great Lakes Symposium on VLSI Sreeharsha Tavva, Dhireesha Kudithipudi
2009	J	`jnl`	Implications of gated-Vss technique on leakage power in embedded caches. Int. J. Embed. Syst. Dhireesha Kudithipudi, Eugene John
2009	—	`conf`	Topology selection of FPGA look-up tables for low-leakage operation. ECCTD Pradeep S. Nair, Santosh Koppa, Eugene B. John, Dhireesha Kudithipudi
2008	J	`jnl`	Caches for Multimedia Workloads: Power and Energy Tradeoffs. IEEE Trans. Multim. Dhireesha Kudithipudi, Stefan Petko, Eugene B. John
2008	—	`conf`	GALEOR: Leakage reduction for CMOS circuits. ICECS Srikanth Katrue, Dhireesha Kudithipudi
2007	J	`jnl`	Static Power Analysis and Estimation in Ternary Content Addressable Memory Cells. J. Low Power Electron. Dhireesha Kudithipudi, Eugene John
2006	A	`conf`	Performance Analysis of Embedded Applications on a Pentium-4 Based Machine. ESA Pradeep S. Nair, Dhireesha Kudithipudi, Eugene John, Fred W. Hudson
2005	J	`jnl`	Implementation of Low Power Digital Multipliers using 10 -Transistor Adder Blocks. J. Low Power Electron. Dhireesha Kudithipudi, Eugene John
2005	—	`conf`	Parametrical characterization of leakage power in embedded system caches using gated-VSS. Circuits, Signals, and Systems Dhireesha Kudithipudi, Eugene John
2004	—	`conf`	Impact of nanotechnology on the performance of CMOS digital multipliers. Circuits, Signals, and Systems Dhireesha Kudithipudi, R. Kotha, Eugene John, Z. Pantic-Tanner
2002	—	`conf`	Cache performance of video computation workloads. DCV Stefan Petko, Dhireesha Kudithipudi, Eugene John