Burak Bartan - RankMe

35 papers A* 6A 1Misc 3Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	KForge: Program Synthesis for Diverse AI Hardware Accelerators. CoRR Taras Sereda, Tom St. John, Burak Bartan, Natalie Serrino, Sachin Katti, Zain Asgar
2025	J	`jnl`	Neural spectrahedra and semidefinite lifts: global convex optimization of degree-two polynomial activation neural networks in polynomial-time. Math. Program. Burak Bartan, Mert Pilanci
2023	Misc	`conf`	Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks. ICASSP Burak Bartan, Mert Pilanci
2023	J	`jnl`	Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration, and Lower Bounds. IEEE Trans. Inf. Theory Burak Bartan, Mert Pilanci
2023	A*	`conf`	Moccasin: Efficient Tensor Rematerialization for Neural Networks. ICML Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
2023	J	`jnl`	Moccasin: Efficient Tensor Rematerialization for Neural Networks. CoRR Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
2023	A*	`conf`	Neural DAG Scheduling via One-Shot Priority Sampling. ICLR Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott
2023	J	`jnl`	Randomized Polar Codes for Anytime Distributed Machine Learning. CoRR Burak Bartan, Mert Pilanci
2023	J	`jnl`	Randomized Polar Codes for Anytime Distributed Machine Learning. IEEE J. Sel. Areas Inf. Theory Burak Bartan, Mert Pilanci
2022	J	`jnl`	Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds. CoRR Burak Bartan, Mert Pilanci
2022	A*	`conf`	Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	A*	`conf`	Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time. ICML Burak Bartan, Mert Pilanci
2021	Misc	`conf`	Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation. ICASSP Vikul Gupta, Burak Bartan, Tolga Ergen, Mert Pilanci
2021	J	`jnl`	Discrete scaling based on operator theory. Digit. Signal Process. Aykut Koç, Burak Bartan, Haldun M. Özaktas
2021	J	`jnl`	Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
2021	J	`jnl`	Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time. CoRR Burak Bartan, Mert Pilanci
2021	A*	`conf`	Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. ICML Burak Bartan, Mert Pilanci
2021	J	`jnl`	Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. CoRR Burak Bartan, Mert Pilanci
2020	A*	`conf`	Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. NeurIPS Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney
2020	J	`jnl`	Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. CoRR Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney
2020	J	`jnl`	Distributed Averaging Methods for Randomized Second Order Optimization. CoRR Burak Bartan, Mert Pilanci
2020	J	`jnl`	Distributed Sketching Methods for Privacy Preserving Regression. CoRR Burak Bartan, Mert Pilanci
2019	A	`conf`	Adaptive Hashing for Model Counting. UAI Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon
2019	Misc	`conf`	Convex Relaxations of Convolutional Neural Nets. ICASSP Burak Bartan, Mert Pilanci
2019	J	`jnl`	Convex Relaxations of Convolutional Neural Nets. CoRR Burak Bartan, Mert Pilanci
2019	J	`jnl`	Discrete Linear Canonical Transform Based on Hyperdifferential Operators. IEEE Trans. Signal Process. Aykut Koç, Burak Bartan, Haldun M. Özaktas
2019	J	`jnl`	Distributed Black-Box Optimization via Error Correcting Codes. CoRR Burak Bartan, Mert Pilanci
2019	—	`conf`	Distributed Black-Box optimization via Error Correcting Codes. Allerton Burak Bartan, Mert Pilanci
2019	J	`jnl`	Polar Coded Distributed Matrix Multiplication. CoRR Burak Bartan, Mert Pilanci
2019	J	`jnl`	Repairing Multiple Failures for Scalar MDS Codes. IEEE Trans. Inf. Theory Jay Mardia, Burak Bartan, Mary Wootters
2019	—	`conf`	Straggler Resilient Serverless Computing Based on Polar Codes. Allerton Burak Bartan, Mert Pilanci
2017	—	`conf`	Digital computation of fractional Fourier and linear canonical transforms and sparse image representation. APSIPA Aykut Koç, Haldun M. Özaktas, Burak Bartan, Erhan Gundogdu, Tolga Çukur
2017	J	`jnl`	Repairing Multiple Failures for Scalar MDS Codes. CoRR Burak Bartan, Mary Wootters
2017	—	`conf`	Repairing multiple failures for scalar MDS codes. Allerton Burak Bartan, Mary Wootters
2017	J	`jnl`	Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms. Expert Syst. Appl. Aykut Koç, Burak Bartan, Erhan Gundogdu, Tolga Çukur, Haldun M. Özaktas