Soheil Feizi

Khyathi Raghavi Chandu

Yejin Choi

Faeze Brahman

Abhilasha Ravichander

CoRR, 2024

Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models.

[BibT_eX]

[DOI]

Vidhisha Balachandran

CoRR, 2024

Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding Information Storage and Transfer in Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking.

[BibT_eX]

[DOI]

Mehrdad Saberi

Arman Zarei

Hessam Mahdavifar

CoRR, 2024

Loki: Low-Rank Keys for Efficient Sparse Attention.

[BibT_eX]

[DOI]

CoRR, 2024

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Robert Brauneis

CoRR, 2024

What do we learn from inverting CLIP models?

[BibT_eX]

[DOI]

Hamid Kazemi

Jonas Geiping

Tom Goldstein

CoRR, 2024

Data-Centric Debugging: mitigating model failures via targeted image retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Fast Adversarial Attacks on Language Models In One GPU Minute.

[BibT_eX]

[DOI]

Shoumik Saha

Gaurang Sriramanan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

[BibT_eX]

[DOI]

Mehrdad Saberi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PRIME: Prioritizing Interpretability in Failure Mode Extraction.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Localizing and Editing Knowledge In Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WorldBench: Quantifying Geographic Disparities in LLM Factual Recall.

[BibT_eX]

[DOI]

Elham Tabassi

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Interpretable Mixture of Experts.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Identifying and Mitigating the Security Risks of Generative AI.

[BibT_eX]

[DOI]

Found. Trends Priv. Secur., 2023

Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Instruct2Attack: Language-Guided Semantic Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Online Advertisements with LLMs: Opportunities and Challenges.

[BibT_eX]

[DOI]

MohammadTaghi Hajiaghayi

Suho Shin

CoRR, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.

[BibT_eX]

[DOI]

Mehrdad Saberi

Shweta Bhardwaj

CoRR, 2023

Certifying LLM Safety against Adversarial Prompting.

[BibT_eX]

[DOI]

CoRR, 2023

Identifying and Mitigating the Security Risks of Generative AI.

[BibT_eX]

[DOI]

CoRR, 2023

Augmenting CLIP with Improved Visio-Linguistic Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Provable Robustness for Streaming Models with a Sliding Window.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Robustness of Learning-based Static Malware Classifiers.

[BibT_eX]

[DOI]

CoRR, 2023

Can AI-Generated Text be Reliably Detected?

[BibT_eX]

[DOI]

CoRR, 2023

Diffused Redundancy in Pre-trained Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Geometry of Blind Spots in Vision models.

[BibT_eX]

[DOI]

Gaurang Sriramanan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Temporal Robustness against Data poisoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Run-off Election: Improved Provable Defense against Data Poisoning Attacks.

[BibT_eX]

[DOI]

Kiarash Banihashem

Proceedings of the International Conference on Machine Learning, 2023

Text-To-Concept (and Back) via Cross-Model Alignment.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Identifying Interpretable Subspaces in Image Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Provable Robustness against Wasserstein Distribution Shifts via Input Randomization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Improved Input Masking for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CUDA: Convolution-Based Unlearnable Datasets.

[BibT_eX]

[DOI]

Mahdi Soltanolkotabi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Text2Concept: Concept Activation Vectors Directly from Text.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adapting Self-Supervised Representations to Multi-Domain Setups.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Goal-Conditioned Q-learning as Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mutual Adversarial Training: Learning Together is Better Than Going Alone.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Better Input Masking for Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Invariant Learning via Diffusion Dreamed Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2022

Data-Centric Debugging: mitigating model failures via targeted data collection.

[BibT_eX]

[DOI]

CoRR, 2022

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Interpretable Mixture of Experts for Structured Data.

[BibT_eX]

[DOI]

CoRR, 2022

Core Risk Minimization using Salient ImageNet.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding Failure Modes of Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Certifying Model Accuracy under Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2022

Toward Efficient Robust Training against Union of $\ell_p$ Threat Models.

[BibT_eX]

[DOI]

Gaurang Sriramanan

Maharshi Gor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explicit Tradeoffs between Adversarial and Natural Distributional Robustness.

[BibT_eX]

[DOI]

Kiarash Banihashem

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hard ImageNet: Segmentations for Objects with Strong Spurious Cues.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved techniques for deterministic l2 robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lethal Dose Conjecture on Data Poisoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FOCUS: Familiar Objects in Common and Uncommon Settings.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Policy Smoothing for Provably Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100.

[BibT_eX]

[DOI]

Surbhi Singla

Proceedings of the Tenth International Conference on Learning Representations, 2022

Salient ImageNet: How to discover spurious features in Deep Learning?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Provable Adversarial Robustness for Fractional Lp Threat Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On Hard Episodes in Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Causal ImageNet: How to discover spurious features in Deep Learning?

[BibT_eX]

[DOI]

CoRR, 2021

Householder Activations for Provable Robustness against Adversarial Attacks.

[BibT_eX]

[DOI]

Surbhi Singla

CoRR, 2021

Understanding Overparameterization in Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Improved, Deterministic Smoothing for L1 Certified Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised anomaly detection with adversarial mirrored autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Improving Deep Learning Interpretability by Saliency Guided Training.

[BibT_eX]

[DOI]

Héctor Corrada Bravo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Skew Orthogonal Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Improved, Deterministic Smoothing for L<sub>1</sub> Certified Robustness.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models.

[BibT_eX]

[DOI]

Cassidy Laidlaw

Proceedings of the 9th International Conference on Learning Representations, 2021

Influence Functions in Deep Learning Are Fragile.

[BibT_eX]

[DOI]

Phillip Pope

Proceedings of the 9th International Conference on Learning Representations, 2021

Understanding Over-parameterization in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Low Curvature Activations Reduce Overfitting in Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences.

[BibT_eX]

[DOI]

Mucong Ding

Constantinos Daskalakis

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Winning Lottery Tickets in Deep Generative Models.

[BibT_eX]

[DOI]

Neha Mukund Kalibhat

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Spectral Alignment of Graphs.

[BibT_eX]

[DOI]

Mariana Recamonde Mendoza

Gerald T. Quon

Manolis Kellis

Ali Jadbabaie

IEEE Trans. Netw. Sci. Eng., 2020

Understanding GANs in the LQG Setting: Formulation, Generalization and Stability.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Tight Second-Order Certificates for Randomized Smoothing.

[BibT_eX]

[DOI]

CoRR, 2020

GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Partition Aggregation: Provable Defense against General Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs.

[BibT_eX]

[DOI]

Mucong Ding

Constantinos Daskalakis

CoRR, 2020

Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Certifying Confidence via Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Benchmarking Deep Learning Interpretability in Time Series Predictions.

[BibT_eX]

[DOI]

Mohamed K. Gunady

Héctor Corrada Bravo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation.

[BibT_eX]

[DOI]

Rama Chellappa

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

(De)Randomized Smoothing for Certifiable Defense against Patch Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

On Second-Order Group Influence Functions for Black-Box Predictions.

[BibT_eX]

[DOI]

Xuchen You

Proceedings of the 37th International Conference on Machine Learning, 2020

Second-Order Provable Defenses against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep k-NN Defense Against Clean-Label Data Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adversarial Robustness of Flow-Based Generative Models.

[BibT_eX]

[DOI]

Phillip Pope

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Maximum Likelihood Embedding of Logistic Random Dot Product Graphs.

[BibT_eX]

[DOI]

Luke J. O'Connor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adversarially Robust Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Network Infusion to Infer Information Sources in Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2019

Playing it Safe: Adversarial Robustness with an Abstain Option.

[BibT_eX]

[DOI]

Cassidy Laidlaw

CoRR, 2019

Bounding Singular Values of Convolution Layers.

[BibT_eX]

[DOI]

CoRR, 2019

Strong Baseline Defenses Against Clean-Label Poisoning Attacks.

[BibT_eX]

[DOI]

CoRR, 2019

Interpretable Adversarial Training for Text.

[BibT_eX]

[DOI]

Samuel Barham

CoRR, 2019

Certifiably Robust Interpretation in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Robustness Certificates Against Adversarial Examples for ReLU Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation.

[BibT_eX]

[DOI]

Rama Chellappa

CoRR, 2019

Compressing GANs using Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2019

Functional Adversarial Attacks.

[BibT_eX]

[DOI]

Cassidy Laidlaw

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quantum Wasserstein Generative Adversarial Networks.

[BibT_eX]

[DOI]

Shouvanik Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Are adversarial examples inevitable?

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation.

[BibT_eX]

[DOI]

Rama Chellappa

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Porcupine Neural Networks: Approximating Neural Network Landscapes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Network Maximal Correlation.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2017

Understanding GANs: the LQG Setting.

[BibT_eX]

[DOI]

CoRR, 2017

Porcupine Neural Networks: (Almost) All Local Optima are Global.

[BibT_eX]

[DOI]

CoRR, 2017

Maximally Correlated Principal Component Analysis.

[BibT_eX]

[DOI]

David Tse

CoRR, 2017

Tensor Biclustering.

[BibT_eX]

[DOI]

Hamid Javadi

David Tse

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A memristor based binary multiplier.

[BibT_eX]

[DOI]

Saeed Haghiri

Ali Nemati

Amirali Amirsoleimani

Arash Ahmadi

Majid Ahmadi

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016

On the analysis of complex networks: fundamental limits, scalable algorithms, and applications.

[BibT_eX]

[DOI]

Soheil Feizi-Khankandi

PhD thesis, 2016

Spectral Alignment of Networks.

[BibT_eX]

[DOI]

Mariana Recamonde Mendoza

Gerald T. Quon

Roadmap Epigenomics Consortium

Manolis Kellis

Ali Jadbabaie

CoRR, 2016

2015

Integrative analysis of 111 reference human epigenomes Open.

[BibT_eX]

[DOI]

Alireza Heravi Moussavi

Ashwinikumar Kulkarni

Nicholas A. Sinnott-Armstrong

Aleksandar Milosavljevic

Bing Ren

John A. Stamatoyannopoulos

Ting Wang

Manolis Kellis

Nat., 2015

A Perspective on Future Research Directions in Information Theory.

[BibT_eX]

[DOI]

Jeffrey G. Andrews

Alexandros G. Dimakis

CoRR, 2015

2014

Backward Adaptation for Power Efficient Sampling.

[BibT_eX]

[DOI]

Georgios Angelopoulos

Vivek K. Goyal

IEEE Trans. Signal Process., 2014

On Network Functional Compression.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Biclustering Usinig Message Passing.

[BibT_eX]

[DOI]

Luke J. O'Connor

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Tunable sparse network coding for multicast networks.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Network Coding, 2014

2012

Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals.

[BibT_eX]

[DOI]

Vivek K. Goyal

IEEE Trans. Signal Process., 2012

Empirical rate-distortion study of compressive sensing-based joint source-channel coding.

[BibT_eX]

[DOI]

Muriel L. Rambeloarison

Georgios Angelopoulos

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

A power efficient sensing/communication scheme: Joint source-channel-network coding by using compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Cases where finding the minimum entropy coloring of a characteristic graph is a polynomial time problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

Compressive sensing over networks.

[BibT_eX]

[DOI]

Michelle Effros

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Locally Adaptive Sampling.

[BibT_eX]

[DOI]

Vivek K. Goyal

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Robust Audio Data Hiding Using Correlated Quantization With Histogram-Based Detector.

[BibT_eX]

[DOI]

Mohammad Ali Akhaee

Mohammad Javad Saberian

Farokh Marvasti

IEEE Trans. Multim., 2009

Impulsive Noise Cancellation Based on Soft Decision and Recursion.

[BibT_eX]

[DOI]

Sina Zahedpour

Mahmoud Ferdosizadeh Naeiny

Arash Amini

Farrokh Marvasti

IEEE Trans. Instrum. Meas., 2009

Multi-Functional Compression with Side Information.

[BibT_eX]

[DOI]

Soheil Feizi-Khankandi

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

When do only sources need to compute? On functional compression in tree networks.

[BibT_eX]

[DOI]

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Lower and Upper Bounds for Throughput Capacity of a Cognitive Ad Hoc Network Overlaid on a Cellular Network.

[BibT_eX]

[DOI]

Soheil Feizi-Khankandi

Farid Ashtiani

Proceedings of the WCNC 2008, IEEE Wireless Communications & Networking Conference, March 31 2008, 2008

Impulsive noise cancellation using CFAR and iterative techniques.

[BibT_eX]

[DOI]

Sina Zahedpour