Ali Ghodsi - RankMe

146 papers A* 12A 7B 11C 1Misc 2Journal 86Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auto-Regressive Masked Diffusion Models. CoRR Mahdi Karami, Ali Ghodsi
2025	J	`jnl`	How Many Heads Make an SSM? A Unified Framework for Attention and State Space Models. CoRR Ali Ghodsi
2024	J	`jnl`	Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing. CoRR Zheng Ma, Zeping Mao, Ruixue Zhang, Jiazhen Chen, Lei Xin, Paul Shan, Ali Ghodsi, Ming Li
2024	—	`conf`	EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Models. ENLSP Hossein Rajabzadeh, Aref Jafari, Aman Sharma, Benyamin Jami, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	J	`jnl`	EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Models. CoRR Hossein Rajabzadeh, Aref Jafari, Aman Sharma, Benyamin Jami, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	—	`conf`	Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification. NAACL-HLT (Findings) Marzieh S. Tahaei, Aref Jafari, Ahmad Rashid, David Alfonso-Hermelo, Khalil Bibi, Yimeng Wu, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	J	`jnl`	Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks. CoRR Lena Podina, Ali Ghodsi, Mohammad Kohandel
2024	A*	`conf`	Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling. NeurIPS Mahdi Karami, Ali Ghodsi
2024	J	`jnl`	Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling. CoRR Mahdi Karami, Ali Ghodsi
2024	—	`conf`	QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning. EMNLP (Industry Track) Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	J	`jnl`	QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning. CoRR Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	J	`jnl`	S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. CoRR Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	J	`jnl`	Scalable Graph Self-Supervised Learning. CoRR Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali Ghodsi
2024	—	`conf`	Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference. EACL (Findings) Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	J	`jnl`	WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization. CoRR Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Ali Ghodsi
2023	A	`conf`	Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi
2023	A	`conf`	DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. EACL Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
2023	—	`book`	Elements of Dimensionality Reduction and Manifold Learning Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
2023	J	`jnl`	Improved knowledge distillation by utilizing backward pass knowledge in neural networks. CoRR Aref Jafari, Mehdi Rezagholizadeh, Ali Ghodsi
2023	J	`jnl`	Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi
2023	J	`jnl`	Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT). CoRR Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2023	J	`jnl`	SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks. CoRR Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh S. Tahaei, Boxing Chen, Ali Ghodsi
2022	—	`conf`	Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. EMNLP (Findings) Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
2022	J	`jnl`	Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. CoRR Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
2022	J	`jnl`	DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. CoRR Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
2022	—	`conf`	Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. EMNLP (Findings) Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
2022	J	`jnl`	Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. CoRR Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
2022	—	`conf`	KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation. NAACL-HLT Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
2022	B	`conf`	Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. COLING Mehdi Rezagholizadeh, Aref Jafari, Puneeth S. M. Saladi, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi
2022	J	`jnl`	Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2022	—	`conf`	Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Canadian AI Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2022	J	`jnl`	Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2022	J	`jnl`	Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart
2022	—	`conf`	When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. ACL (Findings) Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi
2022	J	`jnl`	When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. CoRR Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi
2021	J	`jnl`	A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression. Math. Comput. Simul. K. Parand, Alireza Afzal Aghaei, Mostafa Jani, Ali Ghodsi
2021	A	`conf`	Annealing Knowledge Distillation. EACL Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi
2021	J	`jnl`	Annealing Knowledge Distillation. CoRR Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi
2021	—	`conf`	CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh
2021	J	`jnl`	Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices. Nat. Mach. Intell. Rui Qiao, Ngoc Hieu Tran, Lei Xin, Xin Chen, Ming Li, Baozhen Shan, Ali Ghodsi
2021	J	`jnl`	Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh
2021	J	`jnl`	Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Generative Locally Linear Embedding. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	—	`conf`	How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. EMNLP (Findings) Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh
2021	J	`jnl`	How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. CoRR Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh
2021	J	`jnl`	Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	—	`conf`	Knowledge Distillation with Noisy Labels for Natural Language Understanding. W-NUT Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh
2021	J	`jnl`	Knowledge Distillation with Noisy Labels for Natural Language Understanding. CoRR Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh
2021	J	`jnl`	KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. CoRR Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
2021	J	`jnl`	Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations. CoRR Zeinab Hajimohammadi, Kourosh Parand, Ali Ghodsi
2021	—	`conf`	Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. ACL/IJCNLP (Findings) Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
2021	J	`jnl`	Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. CoRR Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
2021	J	`jnl`	Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. CoRR Mehdi Rezagholizadeh, Aref Jafari, Puneeth Salad, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi
2021	—	`conf`	RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation. EMNLP (Findings) Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais
2021	J	`jnl`	Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Supervised discriminative dimensionality reduction by learning multiple transformation operators. Expert Syst. Appl. Hossein Rajabzadeh, Mansoor Zolghadri Jahromi, Ali Ghodsi
2021	J	`jnl`	SymbolicGPT: A Generative Transformer Model for Symbolic Regression. CoRR Mojtaba Valipour, Bowen You, Maysum Panju, Ali Ghodsi
2021	J	`jnl`	Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	—	`conf`	Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation. EMNLP (1) Yimeng Wu, Mehdi Rezagholizadeh, Abbas Ghaddar, Md. Akmal Haidar, Ali Ghodsi
2020	J	`jnl`	A Neuro-Symbolic Method for Solving Differential and Functional Equations. CoRR Maysum Panju, Ali Ghodsi
2020	J	`jnl`	Discriminant component analysis via distance correlation maximization. Pattern Recognit. Lida Abdi, Ali Ghodsi
2020	J	`jnl`	Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Segmentation Approach for Coreference Resolution Task. CoRR Aref Jafari, Ali Ghodsi
2020	J	`jnl`	Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Symbolically Solving Partial Differential Equations using Deep Learning. CoRR Maysum Panju, Kourosh Parand, Ali Ghodsi
2019	J	`jnl`	DeepNovoV2: Better de novo peptide sequencing with deep learning. CoRR Rui Qiao, Ngoc Hieu Tran, Ming Li, Lei Xin, Baozhen Shan, Ali Ghodsi
2019	J	`jnl`	Sentiment analysis based on improved pre-trained word embeddings. Expert Syst. Appl. Seyed Mahdi Rezaeinia, Rouhollah Rahmani, Ali Ghodsi, Hadi Veisi
2018	J	`jnl`	Deep Variational Sufficient Dimensionality Reduction. CoRR Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi
2018	B	`conf`	Distance Correlation Autoencoder. IJCNN Rick Wang, Amir-Hossein Karimi, Ali Ghodsi
2018	—	`conf`	Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. Digital Pathology Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi
2018	B	`conf`	Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent. IJCNN Alaa El Khatib, Shimeng Huang, Ali Ghodsi, Fakhri Karray
2018	A	`conf`	Robust Locally-Linear Controllable Embedding. AISTATS Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2018	J	`jnl`	SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
2018	J	`jnl`	Text Classification based on Multiple Block Convolutional Highways. CoRR Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani
2017	J	`jnl`	Deep Structure for end-to-end inverse rendering. CoRR Shima Kamyab, Ali Ghodsi, Zohreh Azimifar
2017	—	`conf`	Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
2017	J	`jnl`	Disentangling Dynamics and Content for Control and Planning. CoRR Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohammad Ghavamzadeh
2017	—	`conf`	Fast Spectral Clustering Using Autoencoders and Landmarks. ICIAR Ershad Banijamali, Ali Ghodsi
2017	J	`jnl`	Fast Spectral Clustering Using Autoencoders and Landmarks. CoRR Ershad Banijamali, Ali Ghodsi
2017	J	`jnl`	Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion. IEEE ACM Trans. Comput. Biol. Bioinform. Mehrdad J. Gangeh, Hadi Zarkoob, Ali Ghodsi
2017	J	`jnl`	Generative Mixture of Networks. CoRR Ershad Banijamali, Ali Ghodsi, Pascal Poupart
2017	B	`conf`	Generative mixture of networks. IJCNN Ershad Banijamali, Ali Ghodsi, Pascal Poupart
2017	J	`jnl`	Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis. CoRR Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani
2017	J	`jnl`	JADE: Joint Autoencoders for Dis-Entanglement. CoRR Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
2017	J	`jnl`	Robust Locally-Linear Controllable Embedding. CoRR Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2017	J	`jnl`	Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. Eng. Appl. Artif. Intell. Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen, Bjarne K. Ersbøll
2017	J	`jnl`	Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong
2016	J	`jnl`	Semi-Supervised Representation Learning based on Probabilistic Labeling. CoRR Ershad Banijamali, Ali Ghodsi
2016	—	`conf`	Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. ICIAR Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray
2016	J	`jnl`	Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. CoRR Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray
2015	—	`conf`	A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis. FE@NIPS Hassan Ashtiani, Ali Ghodsi
2015	J	`jnl`	Greedy column subset selection for large-scale data sets. Knowl. Inf. Syst. Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
2015	B	`conf`	Kolmogorov complexity vector: A novel data representation. IJCNN Ge Yang, Ali Ghodsi
2015	A	`conf`	Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. UAI Tameem Adel, David Balduzzi, Ali Ghodsi
2015	J	`jnl`	Supervised Dictionary Learning and Sparse Representation-A Review. CoRR Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2014	J	`jnl`	Minimizing the Discrepancy Between Source and Target Domains by Learning Adapting Components. J. Comput. Sci. Technol. Fatemeh Dorri, Ali Ghodsi
2014	J	`jnl`	Multiview Supervised Dictionary Learning in Speech Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Mehrdad J. Gangeh, Pouria Fewzee, Ali Ghodsi, Mohamed S. Kamel, Fakhri Karray
2013	J	`jnl`	A Fast Greedy Algorithm for Generalized Column Subset Selection. CoRR Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2013	J	`jnl`	Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming. J. Comput. Biol. Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li
2013	J	`jnl`	Discriminative functional analysis of human movements. Pattern Recognit. Lett. Ali-Akbar Samadani, Ali Ghodsi, Dana Kulic
2013	A*	`conf`	Distributed Column Subset Selection on MapReduce. ICDM Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
2013	J	`jnl`	Efficient greedy feature selection for unsupervised learning. Knowl. Inf. Syst. Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2013	J	`jnl`	Greedy Column Subset Selection for Large-scale Data Sets. CoRR Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
2013	J	`jnl`	Kernelized Supervised Dictionary Learning. IEEE Trans. Signal Process. Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
2012	A*	`conf`	Adapting Component Analysis. ICDM Fatemeh Dorri, Ali Ghodsi
2012	J	`jnl`	Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions CoRR Mathieu Sinn, Ali Ghodsi, Karsten Keller
2012	A	`conf`	Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. UAI Mathieu Sinn, Ali Ghodsi, Karsten Keller
2012	J	`jnl`	Information-centric networking - Ready for the real world? (Dagstuhl Seminar 12361). Dagstuhl Reports Ali Ghodsi, Börje Ohlman, Jörg Ott, Ignacio Solis, Matthias Wählisch
2012	A*	`conf`	Low Dimensional Localized Clustering (LDLC). ICDM Pooyan Khajehpour Tadavani, Ali Ghodsi
2012	B	`conf`	Protein Structure by Semidefinite Facial Reduction. RECOMB Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li
2012	Misc	`conf`	Supervised Texture Classification Using a Novel Compression-Based Similarity Measure. ICCVG Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
2011	A	`conf`	A novel greedy algorithm for Nyström approximation. AISTATS Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2011	A*	`conf`	An Efficient Greedy Method for Unsupervised Feature Selection. ICDM Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2011	—	`conf`	Dictionary Learning in Texture Classification. ICIAR (1) Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
2011	J	`jnl`	Guided Locally Linear Embedding. Pattern Recognit. Lett. Babak Alipanahi, Ali Ghodsi
2011	B	`conf`	Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. IJCNN Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray
2011	B	`conf`	Robust locally linear embedding using penalty functions. IJCNN Manda Winlaw, Leila Samimi-Dehkordi, Ali Ghodsi
2011	J	`jnl`	Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds. Pattern Recognit. Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi
2010	A*	`conf`	Conformal Mapping by Computationally Efficient Methods. AAAI Stefan Pintilie, Ali Ghodsi
2010	—	`conf`	Learning an Affine Transformation for Non-linear Dimensionality Reduction. ECML/PKDD (2) Pooyan Khajehpour Tadavani, Ali Ghodsi
2010	B	`conf`	Rare Class Classification by Support Vector Machine. ICPR He He, Ali Ghodsi
2009	—	`conf`	Towards Robust Peer Counting. Peer-to-Peer Computing Alberto Montresor, Ali Ghodsi
2008	A*	`conf`	Distance Metric Learning Versus Fisher Discriminant Analysis. AAAI Babak Alipanahi, Michael Biggs, Ali Ghodsi
2008	J	`jnl`	Nonnegative Matrix Factorization via Rank-One Downdate CoRR Michael Biggs, Ali Ghodsi, Stephen A. Vavasis
2008	A*	`conf`	Nonnegative matrix factorization via rank-one downdate. ICML Michael Biggs, Ali Ghodsi, Stephen A. Vavasis
2008	Misc	`conf`	Scalable Action Respecting Embedding. ISAIM Michael Biggs, Ali Ghodsi, Dana F. Wilkinson, Michael H. Bowling
2007	A*	`conf`	Improving Embeddings by Flexible Exploitation of Side Information. IJCAI Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey
2006	J	`jnl`	Automatic dimensionality selection from the scree plot via the use of profile likelihood. Comput. Stat. Data Anal. Mu Zhu, Ali Ghodsi
2006	B	`conf`	Fast Freenet: Improving Freenet Performance by Preferential Partition Routing and File Mesh Propagation. CCGRID Hans-Emil Skogh, Jonas Haeggstrom, Ali Ghodsi, Rassul Ayani
2006	A*	`conf`	Subjective Mapping. AAAI Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi
2005	A*	`conf`	Action respecting embedding. ICML Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson
2005	A*	`conf`	Learning Subjective Representations for Planning. IJCAI Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi
2005	C	`conf`	Subjective Localization with Action Respecting Embedding. ISRR Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi, Adam Milstein
2005	—	`conf`	Tangent-Corrected Embedding. CVPR (1) Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans
2004	—	`conf`	Transformation-Invariant Embedding for Image Analysis. ECCV (4) Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
2003	B	`conf`	Automatic basis selection for RBF networks using Stein's unbiased risk estimator. IJCNN Ali Ghodsi, Dale Schuurmans
2003	J	`jnl`	Automatic basis selection techniques for RBF networks. Neural Networks Ali Ghodsi, Dale Schuurmans
2002	—	`conf`	Regularized Greedy Importance Sampling. NIPS Finnegan Southey, Dale Schuurmans, Ali Ghodsi