Regina Barzilay

292 papers A* 82A 2B 2Misc 4Journal 144Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
Protein FID: improved evaluation of protein structure generative models.
Bioinform.
Felix Faltings, Hannes Stärk, Tommi S. Jaakkola, Regina Barzilay
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2025 J jnl
AssayMatch: Learning to Select Data for Molecular Activity Models.
CoRR
Vincent Fan, Regina Barzilay
2025 A* conf
Composing Unbalanced Flows for Flexible Docking and Relaxation.
ICLR
Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause
2025 J jnl
Deep learning enhances the prediction of HLA class I-presented CD8+ T cell epitopes in foreign pathogens.
Nat. Mac. Intell.
Jeremy Wohlwend, Anusha Nathan, Nitan Shalon, Charles R. Crain, Rhoda Tano-Menka, Benjamin Goldberg, Emma Richards, Gaurav D. Gaiha, Regina Barzilay
2025 A* conf
Identifying biological perturbation targets through causal differential networks.
ICML
Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola
2025 J jnl
MiniFold: Simple, Fast, and Accurate Protein Structure Prediction.
Trans. Mach. Learn. Res.
Jeremy Wohlwend, Mateo Reveiz, Matt McPartlon, Axel Feldmann, Wengong Jin, Regina Barzilay
2025 J jnl
Predicting sub-population specific viral evolution.
Trans. Mach. Learn. Res.
Wenxian Shi, Menghua Wu, Regina Barzilay
2025 J jnl
ProxelGen: Generating Proteins as 3D Densities.
CoRR
Felix Faltings, Hannes Stärk, Regina Barzilay, Tommi S. Jaakkola
2025 J jnl
Sample, estimate, aggregate: A recipe for causal discovery foundation models.
Trans. Mach. Learn. Res.
Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes.
ICML
Peter Mikhael, Itamar Chinn, Regina Barzilay
2024 A* conf
Conformal Language Modeling.
ICLR
Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay
2024 A* conf
Deep Confident Steps to New Pockets: Strategies for Docking Generalization.
ICLR
Gabriele Corso, Arthur Deng, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Deep Confident Steps to New Pockets: Strategies for Docking Generalization.
CoRR
Gabriele Corso, Arthur Deng, Benjamin Fry, Nicholas Polizzi, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
Dirichlet Flow Matching with Applications to DNA Sequence Design.
ICML
Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Dirichlet Flow Matching with Applications to DNA Sequence Design.
CoRR
Hannes Stärk, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
ICML
Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola
2024 J jnl
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
CoRR
Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola
2024 A* conf
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design.
ICML
Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Improved motif-scaffolding with SE(3) flow matching.
CoRR
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Improved motif-scaffolding with SE(3) flow matching.
Trans. Mach. Learn. Res.
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
Improving protein optimization with smoothed fitness landscapes.
ICLR
Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi S. Jaakkola, Regina Barzilay, Ila R. Fiete
2024 J jnl
OpenChemIE: An Information Extraction Toolkit For Chemistry Literature.
CoRR
Vincent Fan, Yujie Qian, Alex Wang, Amber Wang, Connor W. Coley, Regina Barzilay
2024 J jnl
OpenChemIE: An Information Extraction Toolkit for Chemistry Literature.
J. Chem. Inf. Model.
Vincent Fan, Yujie Qian, Alex Wang, Amber Wang, Connor W. Coley, Regina Barzilay
2024 A* conf
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.
ICLR
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Predicting perturbation targets with causal differential networks.
CoRR
Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Predicting sub-population specific viral evolution.
CoRR
Wenxian Shi, Menghua Wu, Regina Barzilay
2024 J jnl
Risk-Controlling Model Selection via Guided Bayesian Optimization.
Trans. Mach. Learn. Res.
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Sample, estimate, aggregate: A recipe for causal discovery foundation models.
CoRR
Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
2023 J jnl
Conformal Language Modeling.
CoRR
Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay
2023 J jnl
DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models.
CoRR
Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola
2023 A* conf
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.
ICLR
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2023 A* conf
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem.
ICLR
Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola
2023 A* conf
Efficiently Controlling Multiple Risks with Pareto Testing.
ICLR
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design.
CoRR
Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2023 Misc conf
InfoShape: Task-Based Neural Data Shaping via Mutual Information.
ICASSP
Homa Esfahanizadeh, William Wu, Manya Ghobadi, Regina Barzilay, Muriel Médard
2023 J jnl
MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation.
J. Chem. Inf. Model.
Yujie Qian, Jiang Guo, Zhengkai Tu, Zhening Li, Connor W. Coley, Regina Barzilay
2023 J jnl
Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing.
CoRR
Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila Fiete
2023 J jnl
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels.
CoRR
Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy, Tommi S. Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard
2023 J jnl
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.
CoRR
Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi S. Jaakkola
2023 A* conf
Predictive Chemistry Augmented with Text Retrieval.
EMNLP
Yujie Qian, Zhening Li, Zhengkai Tu, Connor W. Coley, Regina Barzilay
2023 J jnl
Predictive Chemistry Augmented with Text Retrieval.
CoRR
Yujie Qian, Zhening Li, Zhengkai Tu, Connor W. Coley, Regina Barzilay
2023 J jnl
Risk-Controlling Model Selection via Guided Bayesian Optimization.
CoRR
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing.
CoRR
Yujie Qian, Jiang Guo, Zhengkai Tu, Connor W. Coley, Regina Barzilay
2023 J jnl
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing.
J. Chem. Inf. Model.
Yujie Qian, Jiang Guo, Zhengkai Tu, Connor W. Coley, Regina Barzilay
2023 A* conf
SE(3) diffusion model with application to protein backbone generation.
ICML
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
SE(3) diffusion model with application to protein backbone generation.
CoRR
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2022 A* conf
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement.
ICML
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Automated Chemical Reaction Extraction from Scientific Literature.
J. Chem. Inf. Model.
Jiang Guo, A. Santiago Ibanez-Lopez, Hanyu Gao, Victor Quach, Connor W. Coley, Klavs F. Jensen, Regina Barzilay
2022 J jnl
Calibrated Selective Classification.
CoRR
Adam Fisch, Tommi S. Jaakkola, Regina Barzilay
2022 J jnl
Calibrated Selective Classification.
Trans. Mach. Learn. Res.
Adam Fisch, Tommi S. Jaakkola, Regina Barzilay
2022 A* conf
Conformal Prediction Sets with Limited False Positives.
ICML
Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay
2022 J jnl
Conformal Prediction Sets with Limited False Positives.
CoRR
Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay
2022 A* conf
Crystal Diffusion Variational Autoencoder for Periodic Material Generation.
ICLR
Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.
CoRR
Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem.
CoRR
Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Efficiently Controlling Multiple Risks with Pareto Testing.
CoRR
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola
2022 A* conf
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction.
ICML
Hannes Stärk, Octavian Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction.
CoRR
Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik, Regina Barzilay, Tommi S. Jaakkola
2022 A* conf
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking.
ICLR
Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause
2022 J jnl
InfoShape: Task-Based Neural Data Shaping via Mutual Information.
CoRR
Homa Esfahanizadeh, William Wu, Manya Ghobadi, Regina Barzilay, Muriel Médard
2022 A* conf
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.
ICLR
Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola
2022 A* conf
Learning Stable Classifiers by Transferring Unstable Features.
ICML
Yujia Bao, Shiyu Chang, Regina Barzilay
2022 J jnl
Learning to Split for Automatic Bias Detection.
CoRR
Yujia Bao, Regina Barzilay
2022 J jnl
Robust Molecular Image Recognition: A Graph Generation Approach.
CoRR
Yujie Qian, Zhengkai Tu, Jiang Guo, Connor W. Coley, Regina Barzilay
2022 J jnl
Syfer: Neural Obfuscation for Private Data Release.
CoRR
Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay
2022 A* conf
Torsional Diffusion for Molecular Conformer Generation.
NeurIPS
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Torsional Diffusion for Molecular Conformer Generation.
CoRR
Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi S. Jaakkola
2021 — conf
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers.
BCB
Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña
2021 — conf
Consistent Accelerated Inference via Confident Adaptive Transformers.
EMNLP (1)
Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay
2021 J jnl
Consistent Accelerated Inference via Confident Adaptive Transformers.
CoRR
Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay
2021 J jnl
Correction to Automated Chemical Reaction Extraction from Scientific Literature.
J. Chem. Inf. Model.
Jiang Guo, A. Santiago Ibanez-Lopez, Hanyu Gao, Victor Quach, Connor W. Coley, Klavs F. Jensen, Regina Barzilay
2021 J jnl
Crystal Diffusion Variational Autoencoder for Periodic Material Generation.
CoRR
Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi S. Jaakkola
2021 J jnl
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior.
Trans. Assoc. Comput. Linguistics
Jiaming Luo, Frederik Hartmann, Enrico Santus, Yuan Cao, Regina Barzilay
2021 J jnl
Deep learning identifies synergistic drug combinations for treating COVID-19.
Proc. Natl. Acad. Sci. USA
Wengong Jin, Jonathan M. Stokes, Richard T. Eastman, Zina Itkin, Alexey V. Zakharov, James J. Collins, Tommi S. Jaakkola, Regina Barzilay
2021 A* conf
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission.
ICLR
Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay
2021 A* conf
Few-Shot Conformal Prediction with Auxiliary Tasks.
ICML
Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay
2021 J jnl
Few-shot Conformal Prediction with Auxiliary Tasks.
CoRR
Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay
2021 J jnl
Fragment-based Sequential Translation for Molecular Optimization.
CoRR
Benson Chen, Xiang Fu, Regina Barzilay, Tommi S. Jaakkola
2021 J jnl
Generating Related Work.
CoRR
Darsh J. Shah, Regina Barzilay
2021 A* conf
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles.
NeurIPS
Octavian Ganea, Lagnajit Pattanaik, Connor W. Coley, Regina Barzilay, Klavs F. Jensen, William H. Green Jr., Tommi S. Jaakkola
2021 J jnl
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles.
CoRR
Octavian-Eugen Ganea, Lagnajit Pattanaik, Connor W. Coley, Regina Barzilay, Klavs F. Jensen, William H. Green Jr., Tommi S. Jaakkola
2021 — conf
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence.
NAACL-HLT
Tal Schuster, Adam Fisch, Regina Barzilay
2021 J jnl
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence.
CoRR
Tal Schuster, Adam Fisch, Regina Barzilay
2021 J jnl
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking.
CoRR
Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause
2021 J jnl
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.
CoRR
Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola
2021 A* conf
Learning Graph Models for Retrosynthesis Prediction.
NeurIPS
Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay
2021 J jnl
Learning Stable Classifiers by Transferring Unstable Features.
CoRR
Yujia Bao, Shiyu Chang, Regina Barzilay
2021 A* conf
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis.
CVPR
Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler
2021 J jnl
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training.
CoRR
Adam Yala, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Manya Ghobadi, Tommi S. Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Médard
2021 — conf
Nutri-bullets Hybrid: Consensual Multi-document Summarization.
NAACL-HLT
Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay
2021 A* conf
Nutri-bullets: Summarizing Health Studies by Composing Segments.
AAAI
Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay
2021 J jnl
Nutri-bullets: Summarizing Health Studies by Composing Segments.
CoRR
Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay
2021 J jnl
Nutribullets Hybrid: Multi-document Health Summarization.
CoRR
Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay
2021 A* conf
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers.
ICML
Yujia Bao, Shiyu Chang, Regina Barzilay
2021 J jnl
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers.
CoRR
Yujia Bao, Shiyu Chang, Regina Barzilay
2020 J jnl
Adaptive Invariance for Molecule Property Prediction.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 A* conf
Automatic Fact-Guided Sentence Modification.
AAAI
Darsh J. Shah, Tal Schuster, Regina Barzilay
2020 — conf
Blank Language Models.
EMNLP (1)
Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Blank Language Models.
CoRR
Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
CapWAP: Captioning with a Purpose.
CoRR
Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay
2020 — conf
CapWAP: Image Captioning with a Purpose.
EMNLP (1)
Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay
2020 A* conf
Capturing Greater Context for Question Generation.
AAAI
Luu Anh Tuan, Darsh J. Shah, Regina Barzilay
2020 J jnl
Composing Molecules with Multiple Property Constraints.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Deciphering Undersegmented Ancient Scripts Using Phonetic Prior.
CoRR
Jiaming Luo, Frederik Hartmann, Enrico Santus, Yuan Cao, Regina Barzilay
2020 J jnl
Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Domain Extrapolation via Regret Minimization.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 A* conf
Educating Text Autoencoders: Latent Representation Guidance via Denoising.
ICML
Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola
2020 A* conf
Few-shot Text Classification with Distributional Signatures.
ICLR
Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
2020 A* conf
Hierarchical Generation of Molecular Graphs using Structural Motifs.
ICML
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Hierarchical Generation of Molecular Graphs using Structural Motifs.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Improved Conditional Flow Models for Molecule to Image Synthesis.
CoRR
Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler
2020 A* conf
Improving Molecular Design by Stochastic Iterative Target Augmentation.
ICML
Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Improving Molecular Design by Stochastic Iterative Target Augmentation.
CoRR
Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Learning Graph Models for Template-Free Retrosynthesis.
CoRR
Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay
2020 A* conf
Multi-Objective Molecule Generation using Interpretable Substructures.
ICML
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Optimal Transport Graph Neural Networks.
CoRR
Gary Bécigneul, Octavian-Eugen Ganea, Benson Chen, Regina Barzilay, Tommi S. Jaakkola
2020 J jnl
Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels.
CoRR
Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay
2020 J jnl
The Limitations of Stylometry for Detecting Machine-Generated Fake News.
Comput. Linguistics
Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay
2020 J jnl
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction.
CoRR
Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley
2020 J jnl
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction.
J. Chem. Inf. Model.
Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley
2019 J jnl
Analyzing Learned Molecular Representations for Property Prediction.
J. Chem. Inf. Model.
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay
2019 J jnl
Are Learned Molecular Representations Ready For Prime Time?
CoRR
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay
2019 J jnl
Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection.
CoRR
Tal Schuster, Roei Schuster, Darsh J. Shah, Regina Barzilay
2019 J jnl
Automatic Fact-guided Sentence Modification.
CoRR
Darsh J. Shah, Tal Schuster, Regina Barzilay
2019 J jnl
Capturing Greater Context for Question Generation.
CoRR
Luu Anh Tuan, Darsh J. Shah, Regina Barzilay
2019 J jnl
Correction to Analyzing Learned Molecular Representations for Property Prediction.
J. Chem. Inf. Model.
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay
2019 — conf
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.
NAACL-HLT (1)
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
2019 J jnl
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.
CoRR
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
2019 J jnl
Few-shot Text Classification with Distributional Signatures.
CoRR
Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
2019 — conf
Generative Models for Graph-Based Protein Design.
DGS@ICLR
John Ingraham, Vikas K. Garg, Regina Barzilay, Tommi S. Jaakkola
2019 A* conf
Generative Models for Graph-Based Protein Design.
NeurIPS
John Ingraham, Vikas K. Garg, Regina Barzilay, Tommi S. Jaakkola
2019 — conf
GraphIE: A Graph-Based Framework for Information Extraction.
NAACL-HLT (1)
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay
2019 — conf
Inferring Which Medical Treatments Work from Reports of Clinical Trials.
NAACL-HLT (1)
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
2019 J jnl
Inferring Which Medical Treatments Work from Reports of Clinical Trials.
CoRR
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
2019 J jnl
Latent Space Secrets of Denoising Text-Autoencoders.
CoRR
Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola
2019 — conf
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization.
ICLR (Poster)
Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola
2019 J jnl
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis.
CoRR
Benson Chen, Tianxiao Shen, Tommi S. Jaakkola, Regina Barzilay
2019 J jnl
Multi-resolution Autoregressive Graph-to-Graph Translation for Molecules.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2019 — conf
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B.
ACL (1)
Jiaming Luo, Yuan Cao, Regina Barzilay
2019 J jnl
Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B.
CoRR
Jiaming Luo, Yuan Cao, Regina Barzilay
2019 J jnl
Path-Augmented Graph Transformer Network.
CoRR
Benson Chen, Regina Barzilay, Tommi S. Jaakkola
2019 — conf
Towards Debiasing Fact Verification Models.
EMNLP/IJCNLP (1)
Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay
2019 J jnl
Towards Debiasing Fact Verification Models.
CoRR
Tal Schuster, Darsh J. Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, Regina Barzilay
2019 J jnl
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.
CoRR
Yujia Bao, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, Regina Barzilay, Danielle Braun, Kevin S. Hughes
2019 — conf
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers.
EMNLP/IJCNLP (1)
Adam Fisch, Jiang Guo, Regina Barzilay
2019 J jnl
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers.
CoRR
Adam Fisch, Jiang Guo, Regina Barzilay
2018 A* conf
Deriving Machine Attention from Human Rationales.
EMNLP
Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018 J jnl
Deriving Machine Attention from Human Rationales.
CoRR
Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018 J jnl
GraphIE: A Graph-Based Framework for Information Extraction.
CoRR
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay
2018 J jnl
Grounding Language for Transfer in Deep Reinforcement Learning.
J. Artif. Intell. Res.
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2018 A* conf
Junction Tree Variational Autoencoder for Molecular Graph Generation.
ICML
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2018 J jnl
Junction Tree Variational Autoencoder for Molecular Graph Generation.
CoRR
Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2018 J jnl
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization.
CoRR
Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola
2018 A* conf
Multi-Source Domain Adaptation with Mixture of Experts.
EMNLP
Jiang Guo, Darsh J. Shah, Regina Barzilay
2018 J jnl
Multi-Source Domain Adaptation with Mixture of Experts.
CoRR
Jiang Guo, Darsh J. Shah, Regina Barzilay
2018 J jnl
Representation Learning for Grounded Spatial Reasoning.
Trans. Assoc. Comput. Linguistics
Michaela Jänner, Karthik Narasimhan, Regina Barzilay
2018 J jnl
The Three Pillars of Machine-Based Programming.
CoRR
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
2018 — conf
The three pillars of machine programming.
MAPL@PLDI
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson
2017 J jnl
Aspect-augmented Adversarial Networks for Domain Adaptation.
CoRR
Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola
2017 J jnl
Aspect-augmented Adversarial Networks for Domain Adaptation.
Trans. Assoc. Comput. Linguistics
Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola
2017 J jnl
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction.
J. Chem. Inf. Model.
Connor W. Coley, Regina Barzilay, William H. Green Jr., Tommi S. Jaakkola, Klavs F. Jensen
2017 J jnl
Deep Transfer in Reinforcement Learning by Language Grounding.
CoRR
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2017 A* conf
Deriving Neural Architectures from Sequence and Graph Kernels.
ICML
Tao Lei, Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2017 J jnl
Deriving Neural Architectures from Sequence and Graph Kernels.
CoRR
Tao Lei, Wengong Jin, Regina Barzilay, Tommi S. Jaakkola
2017 — conf
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network.
NIPS
Wengong Jin, Connor W. Coley, Regina Barzilay, Tommi S. Jaakkola
2017 J jnl
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network.
CoRR
Wengong Jin, Connor W. Coley, Regina Barzilay, Tommi S. Jaakkola
2017 — ed.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers
ACL (1)
Regina Barzilay, Min-Yen Kan
2017 — ed.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers
ACL (2)
Regina Barzilay, Min-Yen Kan
2017 J jnl
Representation Learning for Grounded Spatial Reasoning.
CoRR
Michaela Jänner, Karthik Narasimhan, Regina Barzilay
2017 — conf
Style Transfer from Non-Parallel Text by Cross-Alignment.
NIPS
Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2017 J jnl
Style Transfer from Non-Parallel Text by Cross-Alignment.
CoRR
Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2017 J jnl
Unsupervised Learning of Morphological Forests.
CoRR
Jiaming Luo, Karthik Narasimhan, Regina Barzilay
2017 J jnl
Unsupervised Learning of Morphological Forests.
Trans. Assoc. Comput. Linguistics
Jiaming Luo, Karthik Narasimhan, Regina Barzilay
2016 A* conf
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.
EMNLP
Karthik Narasimhan, Adam Yala, Regina Barzilay
2016 J jnl
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.
CoRR
Karthik Narasimhan, Adam Yala, Regina Barzilay
2016 A* conf
Learning to refine text based recommendations.
EMNLP
Youyang Gu, Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2016 — conf
Making Dependency Labeling Simple, Fast and Accurate.
HLT-NAACL
Tianxiao Shen, Tao Lei, Regina Barzilay
2016 A* conf
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge.
EMNLP
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016 J jnl
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge.
CoRR
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016 A* conf
Rationalizing Neural Predictions.
EMNLP
Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2016 J jnl
Rationalizing Neural Predictions.
CoRR
Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2016 — conf
Semi-supervised Question Retrieval with Gated Convolutions.
HLT-NAACL
Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, Lluís Màrquez
2016 — conf
Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings.
HLT-NAACL
Yuan Zhang, David Gaddy, Regina Barzilay, Tommi S. Jaakkola
2016 — conf
sk_p: a neural program corrector for MOOCs.
SPLASH (Companion Volume)
Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay
2016 J jnl
sk_p: a neural program corrector for MOOCs.
CoRR
Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay
2015 J jnl
An Unsupervised Method for Uncovering Morphological Chains.
CoRR
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2015 J jnl
An Unsupervised Method for Uncovering Morphological Chains.
Trans. Assoc. Comput. Linguistics
Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2015 J jnl
Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models.
CoRR
Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, Lluís Màrquez i Villodre
2015 J jnl
Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment".
Trans. Assoc. Comput. Linguistics
Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
2015 A* conf
Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing.
EMNLP
Yuan Zhang, Regina Barzilay
2015 — conf
High-Order Low-Rank Tensors for Semantic Role Labeling.
HLT-NAACL
Tao Lei, Yuan Zhang, Lluís Màrquez i Villodre, Alessandro Moschitti, Regina Barzilay
2015 J jnl
Language Understanding for Text-based Games Using Deep Reinforcement Learning.
CoRR
Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay
2015 A* conf
Language Understanding for Text-based Games using Deep Reinforcement Learning.
EMNLP
Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay
2015 — conf
Machine Comprehension with Discourse Relations.
ACL (1)
Karthik Narasimhan, Regina Barzilay
2015 A* conf
Molding CNNs for text: non-linear, non-consecutive convolutions.
EMNLP
Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2015 J jnl
Molding CNNs for text: non-linear, non-consecutive convolutions.
CoRR
Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2015 — conf
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing.
HLT-NAACL
Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish
2014 J jnl
Automatic Aggregation by Joint Modeling of Aspects and Values.
CoRR
Christina Sauper, Regina Barzilay
2014 J jnl
Content Modeling Using Latent Permutations.
CoRR
Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger
2014 J jnl
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment.
Trans. Assoc. Comput. Linguistics
Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
2014 A* conf
Greed is Good if Randomized: New Inference for Dependency Parsing.
EMNLP
Yuan Zhang, Tao Lei, Regina Barzilay, Tommi S. Jaakkola
2014 J jnl
Learning Document-Level Semantic Properties from Free-Text Annotations.
CoRR
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
2014 — conf
Learning to Automatically Solve Algebra Word Problems.
ACL (1)
Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi
2014 J jnl
Learning to Win by Reading Manuals in a Monte-Carlo Framework.
CoRR
S. R. K. Branavan, David Silver, Regina Barzilay
2014 — conf
Low-Rank Tensors for Scoring Dependency Structures.
ACL (1)
Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi S. Jaakkola
2014 A* conf
Morphological Segmentation for Keyword Spotting.
EMNLP
Karthik Narasimhan, Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Regina Barzilay
2014 J jnl
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.
CoRR
Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay
2014 — conf
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees.
ACL (1)
Yuan Zhang, Tao Lei, Regina Barzilay, Tommi S. Jaakkola, Amir Globerson
2013 J jnl
Automatic Aggregation by Joint Modeling of Aspects and Values.
J. Artif. Intell. Res.
Christina Sauper, Regina Barzilay
2013 — conf
From Natural Language Specifications to Program Input Parsers.
ACL (1)
Tao Lei, Fan Long, Regina Barzilay, Martin C. Rinard
2013 — conf
Transfer Learning for Constituency-Based Grammars.
ACL (1)
Yuan Zhang, Regina Barzilay, Amir Globerson
2013 — conf
Using Semantic Unification to Generate Regular Expressions from Natural Language.
HLT-NAACL
Nate Kushman, Regina Barzilay
2012 — conf
Learning High-Level Planning from Text.
ACL (1)
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina Barzilay
2012 A conf
Learning to Behave by Reading.
EACL
Regina Barzilay
2012 — conf
Learning to Map into a Universal POS Tagset.
EMNLP-CoNLL
Yuan Zhang, Roi Reichart, Regina Barzilay, Amir Globerson
2012 J jnl
Learning to Win by Reading Manuals in a Monte-Carlo Framework.
J. Artif. Intell. Res.
S. R. K. Branavan, David Silver, Regina Barzilay
2012 — conf
Multi-Event Extraction Guided by Global Constraints.
HLT-NAACL
Roi Reichart, Regina Barzilay
2012 — conf
Selective Sharing for Multilingual Dependency Parsing.
ACL (1)
Tahira Naseem, Regina Barzilay, Amir Globerson
2012 — conf
Unsupervised Morphology Rivals Supervised Morphology for Arabic MT.
ACL (2)
David Stallard, Jacob Devlin, Michael Kayser, Yoong Keok Lee, Regina Barzilay
2011 A* conf
Content Models with Attitude.
ACL
Christina Sauper, Aria Haghighi, Regina Barzilay
2011 A* conf
Event Discovery in Social Media Feeds.
ACL
Edward Benson, Aria Haghighi, Regina Barzilay
2011 A* conf
In-domain Relation Discovery with Meta-constraints via Posterior Regularization.
ACL
Harr Chen, Edward Benson, Tahira Naseem, Regina Barzilay
2011 J jnl
Inferring Strategies for Sentence Ordering in Multidocument News Summarization
CoRR
Regina Barzilay, Noemie Elhadad
2011 A* conf
Learning to Win by Reading Manuals in a Monte-Carlo Framework.
ACL
S. R. K. Branavan, David Silver, Regina Barzilay
2011 B conf
Modeling Syntactic Context Improves Morphological Segmentation.
CoNLL
Yoong Keok Lee, Aria Haghighi, Regina Barzilay
2011 A* conf
Non-Linear Monte-Carlo Search in Civilization II.
IJCAI
S. R. K. Branavan, David Silver, Regina Barzilay
2011 A* conf
Using Semantic Cues to Learn Syntax.
AAAI
Tahira Naseem, Regina Barzilay
2010 A* conf
A Statistical Model for Lost Language Decipherment.
ACL
Benjamin Snyder, Regina Barzilay, Kevin Knight
2010 A* conf
Climbing the Tower of Babel: Unsupervised Multilingual Learning.
ICML
Benjamin Snyder, Regina Barzilay
2010 — conf
Good grief, i can speak it! preliminary experiments in audio restaurant reviews.
SLT
Joseph Polifroni, Stephanie Seneff, S. R. K. Branavan, Chao Wang, Regina Barzilay
2010 A* conf
Incorporating Content Structure into Text Analysis Applications.
EMNLP
Christina Sauper, Aria Haghighi, Regina Barzilay
2010 — conf
Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation.
Empirical Methods in Natural Language Generation
Regina Barzilay
2010 A* conf
Reading between the Lines: Learning to Map High-Level Instructions to Commands.
ACL
S. R. K. Branavan, Luke Zettlemoyer, Regina Barzilay
2010 A* conf
Simple Type-Level Unsupervised POS Tagging.
EMNLP
Yoong Keok Lee, Aria Haghighi, Regina Barzilay
2010 A* conf
Using Universal Linguistic Knowledge to Guide Grammar Induction.
EMNLP
Tahira Naseem, Harr Chen, Regina Barzilay, Mark Johnson
2009 — conf
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach.
HLT-NAACL
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay
2009 — conf
Automatically Generating Wikipedia Articles: A Structure-Aware Approach.
ACL/IJCNLP
Christina Sauper, Regina Barzilay
2009 J jnl
Content Modeling Using Latent Permutations.
J. Artif. Intell. Res.
Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger
2009 — conf
Global Models of Document Structure using Latent Permutations.
HLT-NAACL
Harr Chen, S. R. K. Branavan, Regina Barzilay, David R. Karger
2009 J jnl
Learning Document-Level Semantic Properties from Free-Text Annotations.
J. Artif. Intell. Res.
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
2009 J jnl
Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches.
J. Artif. Intell. Res.
Tahira Naseem, Benjamin Snyder, Jacob Eisenstein, Regina Barzilay
2009 — conf
Probabilistic Approaches for Modeling Text Structure and their Application to Text-to-Text Generation (Invited Talk).
ENLG
Regina Barzilay
2009 — conf
Reinforcement Learning for Mapping Instructions to Actions.
ACL/IJCNLP
S. R. K. Branavan, Harr Chen, Luke Zettlemoyer, Regina Barzilay
2009 — conf
Unsupervised Multilingual Grammar Induction.
ACL/IJCNLP
Benjamin Snyder, Tahira Naseem, Regina Barzilay
2009 Misc conf
WikiDo.
HotNets
Nate Kushman, Micah Z. Brodsky, S. R. K. Branavan, Dina Katabi, Regina Barzilay, Martin C. Rinard
2008 A* conf
Bayesian Unsupervised Topic Segmentation.
EMNLP
Jacob Eisenstein, Regina Barzilay
2008 A* conf
Cross-lingual Propagation for Morphological Analysis.
AAAI
Benjamin Snyder, Regina Barzilay
2008 A* conf
Discourse Topic and Gestural Form.
AAAI
Jacob Eisenstein, Regina Barzilay, Randall Davis
2008 A* conf
Gestural Cohesion for Topic Segmentation.
ACL
Jacob Eisenstein, Regina Barzilay, Randall Davis
2008 J jnl
Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction.
J. Artif. Intell. Res.
Jacob Eisenstein, Regina Barzilay, Randall Davis
2008 A* conf
Learning Document-Level Semantic Properties from Free-Text Annotations.
ACL
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Regina Barzilay
2008 J jnl
Modeling Local Coherence: An Entity-Based Approach.
Comput. Linguistics
Regina Barzilay, Mirella Lapata
2008 A* conf
Unsupervised Multilingual Learning for Morphological Segmentation.
ACL
Benjamin Snyder, Regina Barzilay
2008 A* conf
Unsupervised Multilingual Learning for POS Tagging.
EMNLP
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay
2007 A* conf
Database-Text Alignment via Structured Multilabel Classification.
IJCAI
Benjamin Snyder, Regina Barzilay
2007 A* conf
Generating a Table-of-Contents.
ACL
S. R. K. Branavan, Pawan Deshpande, Regina Barzilay
2007 — conf
Incremental Text Structuring with Online Hierarchical Ranking.
EMNLP-CoNLL
Erdong Chen, Benjamin Snyder, Regina Barzilay
2007 A* conf
Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input.
ACL
Igor Malioutov, Alex Park, Regina Barzilay, James R. Glass
2007 — conf
Multiple Aspect Ranking Using the Good Grief Algorithm.
HLT-NAACL
Benjamin Snyder, Regina Barzilay
2007 — conf
Randomized Decoding for Selection-and-Ordering Problems.
HLT-NAACL
Pawan Deshpande, Regina Barzilay, David R. Karger
2007 A conf
Recent progress in the MIT spoken lecture processing project.
INTERSPEECH
James R. Glass, Timothy J. Hazen, D. Scott Cyphers, Igor Malioutov, David Huynh, Regina Barzilay
2007 A* conf
Turning Lectures into Comic Books Using Linguistically Salient Gestures.
AAAI
Jacob Eisenstein, Regina Barzilay, Randall Davis
2006 — conf
Aggregation via Set Partitioning for Natural Language Generation.
HLT-NAACL
Regina Barzilay, Mirella Lapata
2006 J jnl
Automatic analysis of medical dialogue in the home hemodialysis domain: Structure induction and summarization.
J. Biomed. Informatics
Ronilda C. Lacson, Regina Barzilay, William J. Long
2006 Misc conf
Finding Temporal Order in Discharge Summaries.
AMIA
Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, Regina Barzilay
2006 A* conf
Inducing Temporal Graphs.
EMNLP
Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, Regina Barzilay
2006 A* conf
Minimum Cut Model for Spoken Lecture Segmentation.
ACL
Igor Malioutov, Regina Barzilay
2006 — conf
Paraphrasing for Automatic Evaluation.
HLT-NAACL
David Kauchak, Regina Barzilay
2005 A* conf
Automatic Evaluation of Text Coherence: Models and Representations.
IJCAI
Mirella Lapata, Regina Barzilay
2005 Misc conf
Automatic Processing of Spoken Dialogue in the Home Hemodialysis Domain.
AMIA
Ronilda Lacson, Regina Barzilay
2005 — conf
Collective Content Selection for Concept-to-Text Generation.
HLT/EMNLP
Regina Barzilay, Mirella Lapata
2005 A* conf
Modeling Local Coherence: An Entity-Based Approach.
ACL
Regina Barzilay, Mirella Lapata
2005 J jnl
Sentence Fusion for Multidocument News Summarization.
Comput. Linguistics
Regina Barzilay, Kathleen R. McKeown
2004 J jnl
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
CoRR
Regina Barzilay, Lillian Lee
2004 — conf
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization.
HLT-NAACL
Regina Barzilay, Lillian Lee
2003 — conf
Columbia's Newsblaster: New Features and Future Directions.
HLT-NAACL
Kathleen R. McKeown, Regina Barzilay, John Chen, David K. Elson, David Kirk Evans, Judith Klavans, Ani Nenkova, Barry Schiffman, Sergey Sigelman
2003 J jnl
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
CoRR
Regina Barzilay, Lillian Lee
2003 — conf
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment.
HLT-NAACL
Regina Barzilay, Lillian Lee
2003 A* conf
Sentence Alignment for Monolingual Comparable Corpora.
EMNLP
Regina Barzilay, Noemie Elhadad
2002 J jnl
Bootstrapping Lexical Choice via Multiple-Sequence Alignment
CoRR
Regina Barzilay, Lillian Lee
2002 A* conf
Bootstrapping Lexical Choice via Multiple-Sequence Alignment.
EMNLP
Regina Barzilay, Lillian Lee
2002 J jnl
Inferring Strategies for Sentence Ordering in Multidocument News Summarization.
J. Artif. Intell. Res.
Regina Barzilay, Noemie Elhadad, Kathleen R. McKeown
2001 A* conf
Extracting Paraphrases from a Parallel Corpus.
ACL
Regina Barzilay, Kathleen R. McKeown
2001 — conf
Sentence Ordering in Multidocument Summarization.
HLT
Regina Barzilay, Noémie Elhadad, Kathleen R. McKeown
2000 — conf
The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts.
AAAI/IAAI
Regina Barzilay, Michael Collins, Julia Hirschberg, Steve Whittaker
1999 A* conf
Information Fusion in the Context of Multi-Document Summarization.
ACL
Regina Barzilay, Kathleen R. McKeown, Michael Elhadad
1999 — conf
Towards Multidocument Summarization by Reformulation: Progress and Prospects.
AAAI/IAAI
Kathleen R. McKeown, Judith Klavans, Vasileios Hatzivassiloglou, Regina Barzilay, Eleazar Eskin
1999 — conf
Verbalization of High-Level Formal Proofs.
AAAI/IAAI
Amanda M. Holland-Minkley, Regina Barzilay, Robert L. Constable
1998 B conf
A New Approach To Expert System Explanations.
INLG
Regina Barzilay, Daryl McCullough, Owen Rambow, Jonathan D. DeCristofaro, Tanya Korelsky, Benoit Lavoie