Publications

For an up-to-date listing, see the following Google Scholar page.

Church Doors



Title Author Journal Year
A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging Dong, Siyuan and Cai, Zhuotong and Hangel, Gilbert and Bogner, Wolfgang and Widhalm, Georg and Huang, Yaqing and Liang, Qinghao and You, Chenyu and Kumaragamage, Chathura and Fulbright, Robert K and others Medical Image Analysis 2025
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis Neural Information Processing Systems 2024
Batched neural bandits Quanquan Gu, Amin Karbasi, Khashayar Khosravi, Vahab Mirrokni, and Dongruo Zhou ACM/JMS Journal of Data Science 2024
Replicable clustering Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou Advances in Neural Information Processing Systems 2024
SubGen: Token Generation in Sublinear Time and Memory Amir Zandieh, Insu Han, Vahab Mirrokni, Amin Karbasi arXiv preprint arXiv:2402.06082 2024
Replicable learning of large-margin halfspaces Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen, Grigoris Velegkas, Felix Zhou arXiv preprint arXiv:2402.13857 2024
Submodular minimax optimization: Finding effective sets Loay Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi International Conference on Artificial Intelligence and Statistics 2024
The impossibility of parallelizing boosting Amin Karbasi, Kasper Green Larsen International Conference on Algorithmic Learning Theory 2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss Attias, Idan; Hanneke, Steve; Kalavasis, Alkis; Karbasi, Amin; Velegkas, Grigoris The Thirty Seventh Annual Conference on Learning Theory 2024
Optimal guarantees for algorithmic reproducibility and gradient complexity in convex optimization Liang Zhang, Junchi Yang, Amin Karbasi, Niao He Advances in Neural Information Processing Systems 36 2024
Injecting Undetectable Backdoors in Deep Learning and Language Models Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis arXiv preprint arXiv:2406.05660 2024
On the Computational Landscape of Replicable Learning Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou arXiv preprint arXiv:2405.15599 2024
Procurement Auctions via Approximately Optimal Submodular Optimization Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo arXiv preprint arXiv:2411.13513 2024
TSDS: Data Selection for Task-Specific Model Finetuning Zifan Liu, Amin Karbasi, Theodoros Rekatsinas arXiv preprint arXiv:2410.11303 2024
Cognitive Overload Attack: Prompt Injection for Long Context Bibek Upadhayay, Vahid Behzadan, Amin Karbasi arXiv 2024
Intelligence at the Edge of Chaos Shiyang Zhang, Aakash Patel, Syed A Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk arXiv 2024
TSDS: Data Selection for Task-Specific Model Finetuning Zifan Liu, Amin Karbasi, Theodoros Rekatsinas arXiv preprint arXiv:2410.11303 2024
Extracting Memorized Training Data via Decomposition Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi arXiv 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi arXiv preprint arXiv:2312.02119 2023
KDeformer: Accelerating Transformers via Kernel Density Estimation Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi International Conference on Machine Learning 2023
Hyperattention: Long-context Attention in Near-linear Time Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David P. Woodruff, Amir Zandieh arXiv preprint arXiv:2310.05869 2023
Statistical Indistinguishability of Learning Algorithms Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas International Conference on Machine Learning 2023
BrainLM: A Foundation Model for Brain Activity Recordings Josue Ortega Caro, Antonio H. de O. Fonseca, Christopher Averill, Syed A. Rizvi, Matteo Rosati, James L. Cross, Prateek Mittal, Emanuele Zappala, Daniel Levine, Rahul M. Dhodapkar, Chadi G. Abdallah, David van Dijk bioRxiv 2023
Optimal Learners for Realizable Regression: PAC Learning and Online Learning Idan Attias, Steve Hanneke, Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas Advances in Neural Information Processing Systems 36 2023
How Do You Want Your Greedy: Simultaneous or Repeated? Moran Feldman, Christopher Harshaw, Amin Karbasi Journal of Machine Learning Research 24 (72) 2023
Replicability in Reinforcement Learning Amin Karbasi, Grigoris Velegkas, Lin F. Yang, Felix Zhou Advances in Neural Information Processing Systems 36 2023
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi International Conference on Artificial Intelligence and Statistics 2023
Cell2sentence: Teaching Large Language Models the Language of Biology Daniel Levine, Syed Asad Rizvi, Sacha Lévy, Nazreen Pallikkavaliyaveetil, Ruiming Wu, Zihe Zheng, Antonio Oliveira Fonseca, Xingyu Chen, Sina Ghadermarzi, Rahul M. Dhodapkar, David van Dijk bioRxiv 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning Amin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra International Conference on Machine Learning 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas arXiv preprint arXiv:2305.18424 2023
Learning from Aggregated Data: Curated Bags versus Random Bags Lin Chen, Gang Fu, Amin Karbasi, Vahab Mirrokni arXiv preprint arXiv:2305.09557 2023
Cross Atlas Remapping via Optimal Transport (CAROT): Creating Connectomes for Different Atlases When Raw Data Is Not Available Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost Medical Image Analysis 88 2023
Select Without Fear: Almost All Mini-Batch Schedules Generalize Optimally Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis Kalogerias arXiv preprint arXiv:2305.02247 2023
Stacking Multiple Optimal Transport Policies to Map Functional Connectomes Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost 2023 57th Annual Conference on Information Sciences and Systems (CISS) 2023
Universal Rates for Active Learning Steve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas Neural Information Processing Systems 2022
Conditional Gradient Methods Gábor Braun, Alejandro Carderera, Cyrille W. Combettes, Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Sebastian Pokutta arXiv preprint arXiv:2211.14103 2022
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD Konstantinos E. Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios S. Kalogerias arXiv preprint arXiv:2204.12446 2022
Replicable Bandits Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas arXiv preprint arXiv:2210.01898 2022
Submodular Maximization in Clean Linear Time Wenxin Li, Moran Feldman, Ehsan Kazemi, Amin Karbasi Advances in Neural Information Processing Systems 35 2022
Fast Neural Kernel Embeddings for General Activations Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi Advances in Neural Information Processing Systems 35 2022
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi Advances in Neural Information Processing Systems 35 2022
Self-Consistency of the Fokker Planck Equation Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani Conference on Learning Theory 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian, Hamed Hassani, Amin Karbasi arXiv preprint arXiv:2202.08833 2022
Federated Functional Gradient Boosting Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi International Conference on Artificial Intelligence and Statistics 2022
Universal Rates for Interactive Learning Steve Hanneke, Shay Moran, Qian Zhang Advances in Neural Information Processing Systems 35 2022
On Optimal Learning Under Targeted Data Poisoning Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, Shay Moran Advances in Neural Information Processing Systems 35 2022
The Power of Subsampling in Submodular Maximization Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi Mathematics of Operations Research 47 (2) 2022
Learning Distributionally Robust Models at Scale via Composite Optimization Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi arXiv preprint arXiv:2203.09607 2022
Reinforcement Learning with Logarithmic Regret and Policy Switches Grigoris Velegkas, Zhuoran Yang, Amin Karbasi Advances in Neural Information Processing Systems 35 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi International Conference on Machine Learning 2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi arXiv preprint arXiv:2201.08417 2022
Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost International Conference on Medical Image Computing and Computer-Assisted … 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi arXiv preprint 2022
Transforming Connectomes to “Any” Parcellation via Graph Matching Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou & Dustin Scheinost MICCAI Workshop 2022
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization Yifei Min, Lin Chen, Amin Karbasi UAI 2021
Regret bounds for batched bandits Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab Mirrokni AAAI 2021
Multiple descent: Design your own generalization curve Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi NeurIPS 2021
Regularized submodular maximization at scale Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi ICML 2021
Adaptivity in adaptive submodularity Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni COLT 2021
Parallelizing Thompson sampling Amin Karbasi, Vahab Mirrokni, Mohammad Shadravan NeurIPS 2021
An exponential improvement on the memorization capacity of deep threshold networks Shashank Rajput, Kartik Sreenivasan, Dimitris Papailiopoulos, Amin Karbasi NeurIPS 2021
Submodular+ concave Siddharth Mitra, Moran Feldman, Amin Karbasi NeurIPS 2021
Meta learning in the continuous time limit Ruitu Xu, Lin Chen, Amin Karbasi AISTATS 2021
Learning and certification under instance-targeted poisoning Ji Gao, Amin Karbasi, Mohammad Mahmoody UAI 2021
Data-driven mapping between functional connectomes using optimal transport Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost MICCAI 2021
There is no single functional atlas even for a single individual: Functional parcel definitions change with task Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable NeuroImage 2020
Stochastic conditional gradient methods: From convex minimization to submodular maximization Aryan Mokhtari, Hamed Hassani, Amin Karbasi JMLR 2020
One sample stochastic frank-wolfe Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi AISTATS 2020
Individualized functional networks reconfigure with cognitive state Mehraveh Salehi, Amin Karbasi, Daniel S Barron, Dustin Scheinost, R Todd Constable NeuroImage 2020
More data can expand the generalization gap between adversarially robust and standard models Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi ICML 2020
Safe learning under uncertain objectives and constraints Mohammad Fereydounian, Zebang Shen, Aryan Mokhtari, Amin Karbasi, Hamed Hassani arXiv preprint 2020
Continuous submodular maximization: Beyond dr-submodularity Moran Feldman, Amin Karbasi NeurIPS 2020
Projection-free online optimization with stochastic gradient: From convexity to submodularity Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi ICML 2018
Conditional gradient method for stochastic submodular maximization: Closing the gap Aryan Mokhtari, Hamed Hassani, Amin Karbasi AISTATS 2018
Do less, get more: Streaming submodular maximization with subsampling Moran Feldman, Amin Karbasi, Ehsan Kazemi NeurIPS 2018
Data summarization at scale: A two-stage submodular approach Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi ICML 2018
An exemplar-based approach to individualized parcellation reveals the need for sex-specific functional networks Mehraveh Salehi, Amin Karbasi, Xilin Shen, Dustin Scheinost, R Todd Constable Neuroimage 170 2018
Weakly submodular maximization beyond cardinality constraints: Does randomization help greedy? Lin Chen, Moran Feldman, Amin Karbasi ICML 2018
Decentralized submodular maximization: Bridging discrete and continuous settings Aryan Mokhtari, Hamed Hassani, Amin Karbasi ICML 2018
Submodularity on hypergraphs: From sets to sequences Marko Mitrovic, Moran Feldman, Andreas Krause, Amin Karbasi AISTATS 2018
Comparison based learning from weak oracles Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi AISTATS 2018
State-specific individualized functional networks form a predictive signature of brain state Mehraveh Salehi, Amin Karbasi, Daniel S. Barron, Dustin Scheinost, R. Todd Constable BioRxiv 2018
Learning neural connectivity from firing activity: efficient algorithms with provable guarantees on topology Amin Karbasi, Amir Hesam Salavati, Martin Vetterli Journal of Computational Neuroscience 44 2018
Gradient methods for submodular maximization Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi NeurIPS 2017
Streaming weak submodularity: Interpreting neural networks on the fly Ethan R. Elenberg, Alexandros G. Dimakis, Moran Feldman, Amin Karbasi NeurIPS 2017
Greed is good: Near-optimal submodular maximization via greedy optimization Moran Feldman, Christopher Harshaw, Amin Karbasi COLT 2017
Deletion-robust submodular maximization: Data summarization with “the right to be forgotten” Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause ICML 2017
Differentially private submodular maximization: Data summarization in disguise Marko Mitrovic, Mark Bun, Andreas Krause, Amin Karbasi ICML 2017
Probabilistic submodular maximization in sub-linear time Serban Stan, Morteza Zadimoghaddam, Andreas Krause, Amin Karbasi ICML 2017
Interactive submodular bandit Lin Chen, Andreas Krause, Amin Karbasi NeurIPS 2017
Near-optimal active learning of halfspaces via query synthesis in the noisy setting Lin Chen, Hamed Hassani, Amin Karbasi AAAI 2017
A submodular approach to create individualized parcellations of the human brain Mehraveh Salehi, Amin Karbasi, Dustin Scheinost & R. Todd Constable MICCAI 2017
Differentially Private Submodular Maximization: Data Summarization in Disguise (Full version) Marko Mitrovic, Mark Bun, Andreas Krause, Amin Karbasi Venue/Journal not available 2017
Fast constrained submodular maximization: Personalized data summarization Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi ICML 2016
Distributed submodular maximization Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause Journal of Machine Learning Research 2016
Fast distributed submodular cover: Public-private data summarization Baharan Mirzasoleiman, Morteza Zadimoghaddam, Amin Karbasi NeurIPS 2016
Estimating the size of a large network and its communities from a random sample Lin Chen, Amin Karbasi, Forrest W. Crawford NeurIPS 2016
Seeing the unseen network: Inferring hidden social ties from respondent-driven sampling Lin Chen, Forrest W. Crawford, Amin Karbasi AAAI 2016
Learning network structures from firing patterns Amin Karbasi, Amir Hesam Salavati, Martin Vetterli IEEE International Conference on Acoustics 2016
Submodular variational inference for network reconstruction Lin Chen, Forrest W Crawford, Amin Karbasi arXiv preprint 2016
Dimension coupling: Optimal active learning of halfspaces via query synthesis Lin Chen, Hamed Hassani, Amin Karbasi arXiv preprint 2016
Lazier Than Lazy Greedy Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrak, Andreas Krause arXiv preprint 2015
Sequential information maximization: When is greedy near-optimal? Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause COLT 2015
Distributed submodular cover: Succinctly summarizing massive data Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru, Andreas Krause NeurIPS 2015
Submodular surrogates for value of information Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Bagnell, Siddhartha Srinivasa, Andreas Krause AAAI 2015
Non-Monotone Adaptive Submodular Maximization Alkis Gotovos, Amin Karbasi, Andreas Krause IJCAI 2015
Fast mixing for discrete point processes Patrick Rebeschini, Amin Karbasi COLT 2015
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning Mario Lucic, Mesrob I. Ohannessian, Amin Karbasi, Andreas Krause Venue/Journal not available 2015
From Small-World Networks to Comparison-Based Search Amin Karbasi, Stratis Ioannidis, Laurent Massoulie Transactions on Information Theory 2015
Normalization Phenomena in Asynchronous Networks Amin Karbasi, Johannes Lengler, Angelika Steger Venue/Journal not available 2015
Asynchronous decoding of LDPC codes over BEC Saeid Haghighatshoar, Amin Karbasi, Amir Hesam Salavati ISIT 2015
Decision Region Determination for Touch Based Localization Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, J. Andrew Bagnell, Siddhartha Srinivasa arXiv 2015
Streaming submodular maximization: Massive data summarization on the fly Badanidiyuru, Ashwinkumar, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause ACM SIGKDD 2014
Near-optimally teaching the crowd to classify Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause ICML 2014
Near optimal bayesian active learning for decision making Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha Srinivasa AISTATS 2014
Allocating tasks to machines in computing clusters M Vojnovic, A Karbasi US Patent 2014
Noise facilitation in associative memories of exponential capacity Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney Neural Computation 2014
Convolutional neural associative memories: Massive capacity with noise tolerance Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi arXiv 2014
Coupled Neural Associative Memories Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi arXiv 2014
Distributed submodular maximization: Identifying representative elements in massive data Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause NeurIPS 2013
Iterative learning and denoising in convolutional neural associative memories Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi ICML 2013
On actively teaching the crowd to classify Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause NIPS Workshop on Data Driven Education 2013
Calibration using matrix completion with application to ultrasound tomography Reza Parhizkar, Amin Karbasi, Sewoong Oh, Martin Vetterli IEEE Transactions on Signal Processing 2013
Noise-enhanced associative memories Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney NeurIPS 2013
Constrained Binary Identification Problem Amin Karbasi, Morteza Zadimoghaddam STACS 2013
Graph-constrained group testing Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama IEEE Transactions on Information Theory 2012
Sequential group testing with graph constraints Amin Karbasi, Morteza Zadimoghaddam IEEE Information Theory Workshop 2012
Robust localization from incomplete local information Amin Karbasi, Sewoong Oh IEEE/ACM Transactions on Networking 2012
Comparison-based learning with rank nets Amin Karbasi, Stratis Ioannidis, Laurent Massoulie arXiv 2012
Multi-level error-resilient neural networks Amir Hesam Salavati, Amin Karbasi IEEE ISIT Proceedings 2012
Low-Rank Matrix Approximation Using Point-Wise Operators Arash Amini, Amin Karbasi, Farokh Marvasti IEEE Transactions on Information Theory 2012
Hot or Not: Interactive Content Search Using Comparisons Amin Karbasi, Stratis Ioannidis, Laurent Massoulié Information Theory and Applications 2012
Multi-Level Error-Resilient Neural Networks with Learning Amir Hesam Salavati, Amin Karbasi arXiv 2012
Graph-Based Information Processing: Scaling Laws and Applications Amin Karbasi, Martin Vetterli, Rüdiger Urbanke EPFL 2012
Group testing with probabilistic tests: Theory, design, and application Mahdi Cheraghchi, Ali Hormati, Amin Karbasi, Martin Vetterli IEEE Transactions on Information Theory 2011
Content search through comparisons Amin Karbasi, Stratis Ioannidis, Laurent Massoulié International Colloquium on Automata 2011
Calibration in circular ultrasound tomography devices Reza Parhizkar, Amin Karbasi, Martin Vetterli IEEE ICASSP 2011
Adaptive content search through comparisons Amin Karbasi, Stratis Ioannidis, Laurent Massoulié MIT Press 2011
Compression with graphical constraints: An interactive browser Amin Karbasi, Morteza Zadimoghaddam IEEE ISIT Proceedings 2011
Greedy Scheduling for Distributed Computing Clusters Karbasi, Amin and Vojnovic, Milan Not Available 2011
Sensor network localization from local connectivity: Performance analysis for the mds-map algorithm Sewoong Oh, Andrea Montanari, Amin Karbasi 2010 IEEE Information Theory Workshop 2010
Distributed sensor network localization from local connectivity: performance analysis for the hop-terrain algorithm Amin Karbasi, Sewoong Oh ACM SIGMETRICS International Conference 2010
Ultrasound tomography calibration using structured matrix completion Amin Karbasi, Sewoong Oh, Reza Parhizkar, Martin Vetterli 20th International Congress on Acoustics 2010
From centralized to distributed sensor localization Amin Karbasi ACM Workshop on Wireless of the Students 2010
Compressed sensing with probabilistic measurements: A group testing solution Mahdi Cheraghchi, Ali Hormati, Amin Karbasi, Martin Vetterli 47th Annual Allerton Conference 2009
Support recovery in compressed sensing: An estimation theoretic approach Amin Karbasi, Ali Hormati, Soheil Mohajer, Martin Vetterli IEEE International Symposium on Information Theory 2009
An estimation theoretic approach for sparsity pattern recovery in the noisy setting Ali Hormati, Amin Karbasi, Soheil Mohajer, Martin Vetterli arXiv 2009
A new DOA estimation method using a circular microphone array Amin Karbasi, Akihiko Sugiyama 15th European Signal Processing Conference 2007
A DOA estimation method for an arbitrary triangular microphone arrangement Amin Karbasi, Akihiko Sugiyama 14th European Signal Processing Conference 2006