Amin Karbasi
- Intelligence at the Edge of Chaos
2024/10/03 by Shiyang Zhang, Aakash Patel, Zhang, Shiyang +13 · 9 voices · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.NE
- HyperAttention: Long-context Attention in Near-Linear Time
2023/10/09 by Insu Han, Rajesh Jayaram, Han, Insu +9 · 1 voice · 13 citations
#cs.LG #cs.AI
- Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
2023/12/04 by Anay Mehrotra, Manolis Zampetakis, Mehrotra, Anay +11 · 105 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
- Conditional Gradient Methods
2022/11/25 by Gábor Braun, Alejandro Carderera, Braun, Gábor +11 · 16 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and ELM
- Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
2025/04/28 by Paul Kassianik, Baturay Saglam, Baturay Sağlam +37 · 1 voice · 7 citations
Computer Science · #cs.CR #cs.AI
- Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity
2019/05/02 by Ehsan Kazemi, Marko Mitrovic, Kazemi, Ehsan +7 · 6 citations
Computer Science · #Complexity and Algorithms in Graphs #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
- PolarQuant: Quantizing KV Caches with Polar Transformation
2025/02/04 by Insu Han, Han, Insu, Praneeth Kacham +7 · 1 voice · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- KDEformer: Accelerating Transformers via Kernel Density Estimation
2023/02/05 by Amir Zandieh, Zandieh, Amir, In‐Su Han +5 · 5 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Data Structures and Algorithms (cs.DS) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
2019/04/19 by Christopher Harshaw, Harshaw, Christopher, Moran Feldman +5 · 2 citations
Computer Science · Engineering · Mathematics · #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Low-power high-performance VLSI design #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC)
- Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
2023/05/28 by Patrik Okanovic, Roger Waleffe, Okanovic, Patrik +12 · 3 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Cognitive Overload Attack:Prompt Injection for Long Context
2024/10/15 by Bibek Upadhayay, Vahid Behzadan, Upadhayay, Bibek +3 · 5 citations
Medicine · Neuroscience · Psychology · #Computation and Language (cs.CL) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Healthcare Technology and Patient Monitoring #Mental Health Research Topics
- Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
2022/04/26 by Konstantinos E. Nikolakakis, Nikolakakis, Konstantinos E., Farzin Haddadpour +5 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Compressed Sensing with Probabilistic Measurements: A Group Testing Solution
2009/09/18 by Mahdi Cheraghchi, Cheraghchi, Mahdi, Ali Hormati +5 · 2 citations
Medicine · Engineering · Biochemistry, Genetics and Molecular Biology · #SARS-CoV-2 detection and testing #Biosensors and Analytical Detection #Advanced biosensing and bioanalysis techniques
- The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
2020/02/25 by Yifei Min, Min, Yifei, Lin Chen +3 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- TSDS: Data Selection for Task-Specific Model Finetuning
2024/10/15 by Zifan Liu, Liu, Zifan, Amin Karbasi +3 · 4 citations
Business, Management and Accounting · Computer Science · Decision Sciences · #68T01 #68T50 #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Simulation Techniques and Applications
- Data Summarization at Scale: A Two-Stage Submodular Approach
2018/06/07 by Marko Mitrovic, Ehsan Kazemi, Mitrovic, Marko +5 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Advanced Image and Video Retrieval Techniques #Algorithms and Data Compression #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal Learners for Realizable Regression: PAC Learning and Online Learning
2023/07/07 by Idan Attias, Steve Hanneke, Attias, Idan +7 · 2 citations
Computer Science · #Machine Learning and Algorithms #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
- Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
2017/03/08 by Ethan R. Elenberg, Elenberg, Ethan R., Alexandros G. Dimakis +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Adaptivity in Adaptive Submodularity
2019/11/09 by Hossein Esfandiari, Amin Karbasi, Esfandiari, Hossein +3 · 1 citation
Computer Science · #Machine Learning and Algorithms #Complexity and Algorithms in Graphs #Optimization and Search Problems
- Fast Mixing for Discrete Point Processes
2015/06/06 by Patrick Rebeschini, Rebeschini, Patrick, Amin Karbasi +1 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
- (Im)possibility of Automated Hallucination Detection in Large Language Models
2025/04/23 by Amin Karbasi, Omar Montasser, Karbasi, Amin +5 · 4 citations
Computer Science · #Machine Learning in Healthcare
- Gödel Test: Can Large Language Models Solve Easy Conjectures?
2025/09/22 by Moran Feldman, Feldman, Moran, Amin Karbasi +1 · 1 voice · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Complexity and Algorithms in Graphs #Computability, Logic, AI Algorithms #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Scalable Sampling for Nonsymmetric Determinantal Point Processes
2022/01/20 by In‐Su Han, Han, Insu, Mike Gartrell +7 · 1 citation
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Point processes and geometric inequalities #Random Matrices and Applications
- Replicable Bandits
2022/10/04 by Hossein Esfandiari, Alkis Kalavasis, Esfandiari, Hossein +9 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
2022/10/18 by Jane H. Lee, Saeid Haghighatshoar, Lee, Jane H. +3 · 1 citation
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural dynamics and brain function
- Replicable Clustering
2023/02/20 by Hossein Esfandiari, Amin Karbasi, Esfandiari, Hossein +7 · 1 citation
Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #Data Management and Algorithms #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Stochastic Conditional Gradient++
2019/02/19 by Hamed Hassani, Hassani, Hamed, Amin Karbasi +5 · 1 citation
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Complexity and Algorithms in Graphs
- On the Computational Landscape of Replicable Learning
2024/05/24 by Alkis Kalavasis, Kalavasis, Alkis, Amin Karbasi +5 · 1 citation
Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Machine Learning and Data Classification
- Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
2019/02/17 by Mingrui Zhang, Zhang, Mingrui, Lin Chen +7 · 1 citation
Computer Science · #Data Structures and Algorithms (cs.DS) #Distributed #Error Correcting Code Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Quantum Computing Algorithms and Architecture #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)