Anna Choromanska

93 papers A* 12A 10B 2C 1Journal 52Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Supervised JEPA-based World Models for LiDAR Occupancy Completion and Forecasting. CoRR Haoran Zhu, Anna Choromanska
2026	A*	`conf`	Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection. AAAI Haoran Zhu, Zhenyuan Dong, Kristi Topollai, Beiyao Sha, Anna Choromanska
2026	J	`jnl`	Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets. CoRR Kristi Topollai, Anna Choromanska
2026	J	`jnl`	Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations. CoRR Fatemeh Naeinian, Ali Hamza, Haoran Zhu, Anna Choromanska
2025	J	`jnl`	A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization. CoRR Jing Wang, Anna Choromanska
2025	J	`jnl`	AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR Data. CoRR Haoran Zhu, Zhenyuan Dong, Kristi Topollai, Anna Choromanska
2025	J	`jnl`	Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization. CoRR Kristi Topollai, Anna Choromanska
2025	J	`jnl`	Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning. CoRR Tolga Dimlioglu, Anna Choromanska
2025	J	`jnl`	OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction. CoRR Raghu Vamshi Hemadri, Geetha Krishna Guruju, Kristi Topollai, Anna Choromanska
2025	J	`jnl`	Streamlining Industrial Contract Management with Retrieval-Augmented LLMs. CoRR Kristi Topollai, Tolga Dimlioglu, Anna Choromanska, Simon Odie, Reginald Hui
2025	—	`conf`	Task-Level Contrastiveness for Cross-Domain Few-Shot Learning. CVPR Workshops Kristi Topollai, Anna Choromanska
2025	J	`jnl`	Task-Level Contrastiveness for Cross-Domain Few-Shot Learning. CoRR Kristi Topollai, Anna Choromanska
2024	A	`conf`	Adjacent Leader Decentralized Stochastic Gradient Descent. ECAI Haoze He, Jing Wang, Anna Choromanska
2024	J	`jnl`	Adjacent Leader Decentralized Stochastic Gradient Descent. CoRR Haoze He, Jing Wang, Anna Choromanska
2024	A	`conf`	AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop. UAI Jing Wang, Yunfei Teng, Anna Choromanska
2024	A	`conf`	GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models. AISTATS Tolga Dimlioglu, Anna Choromanska
2024	J	`jnl`	GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models. CoRR Tolga Dimlioglu, Anna Choromanska
2024	C	`conf`	Multi-View Radar Autoencoder for Self-Supervised Automotive Radar Representation Learning. IV Haoran Zhu, Haoze He, Anna Choromanska, Satish Ravindran, Binbin Shi, Lihui Chen
2024	—	`conf`	TAME: Task Agnostic Continual Learning using Multiple Experts. CVPR Workshops Haoran Zhu, Maryam Majzoubi, Arihant Jain, Anna Choromanska
2024	—	`conf`	Wake-Sleep Energy Based Models for Continual Learning. CVPR Workshops Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du
2023	J	`jnl`	Automatic document classification via transformers for regulations compliance management in large utility companies. Neural Comput. Appl. Tolga Dimlioglu, Jing Wang, Devansh Bisla, Anna Choromanska, Simon Odie, Leon Bukhman, Afolabi Olomola, James D. Wong
2023	A*	`conf`	ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals. ICRA Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin Ren, Ryan Wu
2022	A*	`conf`	Backdoor Attacks on the DNN Interpretation System. AAAI Shihong Fang, Anna Choromanska
2022	J	`jnl`	DNN Patching: Progressive Fixing and Augmenting the Functionalities of DNNs for Autonomous Vehicles. IEEE Robotics Autom. Lett. Apoorva Nandini Saridena, Anna Choromanska
2022	J	`jnl`	ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals. CoRR Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin Ren, Ryan Wu
2022	A	`conf`	Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. AISTATS Devansh Bisla, Jing Wang, Anna Choromanska
2022	J	`jnl`	Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. CoRR Devansh Bisla, Jing Wang, Anna Choromanska
2022	—	`conf`	Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. ECML/PKDD (1) Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh
2022	J	`jnl`	TAME: Task Agnostic Continual Learning using Multiple Experts. CoRR Haoran Zhu, Maryam Majzoubi, Arihant Jain, Anna Choromanska
2021	—	`conf`	A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. CVPR Workshops Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska
2021	J	`jnl`	A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. CoRR Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska
2021	J	`jnl`	AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop. CoRR Yunfei Teng, Jing Wang, Anna Choromanska
2021	J	`jnl`	ESAFE: Enterprise Security and Forensics at Scale. CoRR Bernard McShea, Kevin Wright, Denley Lam, Steve Schmidt, Anna Choromanska, Devansh Bisla, Shihong Fang, Alireza Sarmadi, Prashanth Krishnamurthy, Farshad Khorrami
2020	J	`jnl`	Backdoor Attacks on the DNN Interpretation System. CoRR Shihong Fang, Anna Choromanska
2020	J	`jnl`	Continual learning with direction-constrained optimization. CoRR Yunfei Teng, Anna Choromanska, Murray Campbell
2020	A	`conf`	LdSM: Logarithm-depth Streaming Multi-label Decision Trees. AISTATS Maryam Majzoubi, Anna Choromanska
2020	A*	`conf`	Learning to Score Behaviors for Guided Policy Optimization. ICML Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael I. Jordan
2020	J	`jnl`	Learning-Based Real-Time Process-Aware Anomaly Monitoring for Assured Autonomy. IEEE Trans. Intell. Veh. Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami
2020	A*	`conf`	Multi-modal Experts Network for Autonomous Driving. ICRA Shihong Fang, Anna Choromanska
2020	J	`jnl`	Multi-modal Experts Network for Autonomous Driving. CoRR Shihong Fang, Anna Choromanska
2020	J	`jnl`	SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions. CoRR Jing Wang, Anna Choromanska
2019	J	`jnl`	A deep learning gated architecture for UGV navigation robust to sensor failures. Robotics Auton. Syst. Naman Patel, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami
2019	A*	`conf`	Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. ICML Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2019	J	`jnl`	Extreme Multiclass Classification Criteria. Comput. Anna Choromanska, Ish Kumar Jain
2019	J	`jnl`	Invertible Autoencoder for Domain Adaptation. Comput. Yunfei Teng, Anna Choromanska
2019	J	`jnl`	LSALSA: accelerated source separation via learned sparse coding. Mach. Learn. Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska
2019	J	`jnl`	LdSM: Logarithm-depth Streaming Multi-label Decision Trees. CoRR Maryam Majzoubi, Anna Choromanska
2019	A*	`conf`	Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. NeurIPS Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller
2019	J	`jnl`	Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. CoRR Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller
2019	A*	`conf`	Reconfigurable Network for Efficient Inferencing in Autonomous Vehicles. ICRA Shihong Fang, Anna Choromanska
2019	J	`jnl`	Skin Lesion Segmentation and Classification with Deep Learning System. CoRR Devansh Bisla, Anna Choromanska, Jennifer A. Stein, David Polsky, Russell S. Berman
2019	—	`conf`	Towards Automated Melanoma Detection With Deep Learning: Data Purification and Augmentation. CVPR Workshops Devansh Bisla, Anna Choromanska, Russell S. Berman, Jennifer A. Stein, David Polsky
2019	J	`jnl`	Wasserstein Reinforcement Learning. CoRR Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan
2018	—	`conf`	A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI. EMBC Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W. Lui
2018	J	`jnl`	A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI. CoRR Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W. Lui
2018	A	`conf`	Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy. IROS Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami
2018	J	`jnl`	Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy. CoRR Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami
2018	J	`jnl`	Beyond Backprop: Alternating Minimization with co-Activation Memory. CoRR Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf
2018	J	`jnl`	Invertible Autoencoder for domain adaptation. CoRR Yunfei Teng, Anna Choromanska, Mariusz Bojarski
2018	J	`jnl`	LSALSA: efficient sparse coding in single and multiple dictionary settings. CoRR Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska
2018	J	`jnl`	VisualBackProp for learning using privileged information with CNNs. CoRR Devansh Bisla, Anna Choromanska
2018	A*	`conf`	VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving. ICRA Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry J. Ackel, Urs Muller, Philip Yeres, Karol Zieba
2017	—	`conf`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. ICLR (Poster) Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2017	J	`jnl`	Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car. CoRR Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence D. Jackel, Urs Muller
2017	A	`conf`	Sensor modality fusion with CNNs for UGV autonomous driving in indoor environments. IROS Naman Patel, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami
2017	A*	`conf`	Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation. ICML Yacine Jernite, Anna Choromanska, David A. Sontag
2017	A	`conf`	Structured adaptive and random spinners for fast machine learning computations. AISTATS Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
2016	A*	`conf`	Binary embeddings with structured hashed projections. ICML Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
2016	J	`jnl`	Differentially-private learning of low dimensional manifolds. Theor. Comput. Sci. Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
2016	J	`jnl`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. CoRR Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2016	J	`jnl`	On the boosting ability of top-down decision tree learning algorithm for multiclass classification. CoRR Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski
2016	J	`jnl`	Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling. CoRR Yacine Jernite, Anna Choromanska, David A. Sontag, Yann LeCun
2016	J	`jnl`	Structured adaptive and random spinners for fast machine learning computations. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
2016	J	`jnl`	VisualBackProp: visualizing CNNs for autonomous driving. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry D. Jackel, Urs Muller, Karol Zieba
2015	—	`conf`	Automated Analysis of Images from Confocal Laser Scanning Microscopy Applied to Observation of Calcium Channel Subunits in Nerve Cell Model Line Subjected Electroporation and Calcium. ACIIDS (2) Julita Kulbacka, Marek Kulbacki, Jakub Segen, Anna Choromanska, Jolanta Saczko, Magda Dubinska-Magiera, Malgorzata Kotulska
2015	J	`jnl`	Binary embeddings with structured hashed projections. CoRR Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
2015	—	`conf`	Deep learning with Elastic Averaging SGD. NIPS Sixin Zhang, Anna Choromanska, Yann LeCun
2015	—	`conf`	Deep learning with Elastic Averaging SGD. ICLR (Workshop) Sixin Zhang, Anna Choromanska, Yann LeCun
2015	—	`conf`	Logarithmic Time Online Multiclass prediction. NIPS Anna Choromanska, John Langford
2015	A*	`conf`	Open Problem: The landscape of the loss surfaces of multilayer networks. COLT Anna Choromanska, Yann LeCun, Gérard Ben Arous
2015	A	`conf`	The Loss Surfaces of Multilayer Networks. AISTATS Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2014	J	`jnl`	Differentially- and non-differentially-private random decision trees. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Yann LeCun
2014	J	`jnl`	Logarithmic Time Online Multiclass prediction. CoRR Anna Choromanska, John Langford
2014	J	`jnl`	Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering. CoRR Apoorv Agarwal, Anna Choromanska, Krzysztof Choromanski
2014	—	`—`	Selected machine learning reductions. Anna Choromanska
2014	—	`conf`	Semistochastic Quadratic Bound Methods for Convex and Nonconvex Learning Problems. ICLR (Workshop Poster) Aleksandr Y. Aravkin, Anna Choromanska, Dimitri Kanevsky, Tony Jebara
2014	J	`jnl`	The Loss Surface of Multilayer Networks. CoRR Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2013	B	`conf`	Differentially-Private Learning of Low Dimensional Manifolds. ALT Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni
2013	B	`conf`	Fast Spectral Clustering via the Nyström Method. ALT Anna Choromanska, Tony Jebara, HyungTae Kim, Mahesh Mohan, Claire Monteleoni
2013	J	`jnl`	Stochastic Bound Majorization. CoRR Anna Choromanska, Tony Jebara
2012	—	`conf`	Majorization for CRFs and Latent Likelihoods. NIPS Tony Jebara, Anna Choromanska
2012	A	`conf`	Online Clustering with Experts. AISTATS Anna Choromanska, Claire Monteleoni
2012	—	`conf`	Online Clustering with Experts. ICML On-line Trading of Exploration and Exploitation Anna Choromanska, Claire Monteleoni