research papers by categories in reversed chronological order. generated by jekyll-scholar.
* equal contributions
Land-use transitions and carbon emissions of aquaculture expansion in the Brazilian Amazon
Felipe S. Pacheco, Sebastian A. Heilpern, Rafael M. Almeida, Suresh A. Sethi, Marcela Miranda, Nicholas Ray, Laura Greenstreet, Joshua Fan, Brendan H. Rappazzo, Anmol Kabra, Marta E. Ummus, Ícaro B. Alves, Nathan O. Barros, Jucilene Cavali, Gabriel M. Cesar, Carolina R. Doria, Kathryn J. Fiorella, Bruce R. Forsberg, Marcelo Gomes Silva, Daniel A. Maciel, David McGrath, Peter B. McIntyre, Patricia Moraes-Valenti, Ilce Oliveira, Jean P. H. B. Ometto, Fabio Roland, Adry Trindade, Wagner C. Valenti, Aline M. Valerio, Xiangtao Xu, Carla P. Gomes, and Alexander S. Flecker
@article{2026pacheco_landuse,title={{Land-use transitions and carbon emissions of aquaculture expansion in the Brazilian Amazon}},author={Pacheco, Felipe S. and Heilpern, Sebastian A. and Almeida, Rafael M. and Sethi, Suresh A. and Miranda, Marcela and Ray, Nicholas and Greenstreet, Laura and Fan, Joshua and Rappazzo, Brendan H. and Kabra, Anmol and Ummus, Marta E. and Alves, Ícaro B. and Barros, Nathan O. and Cavali, Jucilene and Cesar, Gabriel M. and Doria, Carolina R. and Fiorella, Kathryn J. and Forsberg, Bruce R. and da Silva, Marcelo Gomes and Maciel, Daniel A. and McGrath, David and McIntyre, Peter B. and Moraes-Valenti, Patricia and Oliveira, Ilce and Ometto, Jean P. H. B. and Roland, Fabio and Trindade, Adry and Valenti, Wagner C. and Valerio, Aline M. and Xu, Xiangtao and Gomes, Carla P. and Flecker, Alexander S.},journal={Science Advances},volume={12},number={33},pages={eaec5472},year={2026},doi={10.1126/sciadv.aec5472},}
The Reliability Gap in Agentic Evidence Verification for Materials Science
Albert Gong, James J. Kim, Anmol Kabra, Aaditya Panigrahi, Jiashuo Wang, Arjun B. Mulchandani, Michael Freeman, Fatmagul Katmer, Joshua Peters Wakefield, Linxi Zhao, Chao Wan, Akanksha Sarkar, Yoav Artzi, Leslie M Schoop, John Thickstun, Kilian Q Weinberger, Eun-Ah Kim, Peter I. Frazier, and Jennifer J. Sun
In ICLR Workshop on Foundation Models for Science (2026).
@inproceedings{2026gong_reliability,title={{The Reliability Gap in Agentic Evidence Verification for Materials Science}},author={Gong, Albert and Kim, James J. and Kabra, Anmol and Panigrahi, Aaditya and Wang, Jiashuo and Mulchandani, Arjun B. and Freeman, Michael and Katmer, Fatmagul and Wakefield, Joshua Peters and Zhao, Linxi and Wan, Chao and Sarkar, Akanksha and Artzi, Yoav and Schoop, Leslie M and Thickstun, John and Weinberger, Kilian Q and Kim, Eun-Ah and Frazier, Peter I. and Sun, Jennifer J.},booktitle={ICLR Workshop on Foundation Models for Science},year={2026},}
Large Multimodal Models Enable Scalable Monitoring of Aquaculture Ponds
@inproceedings{2026kabra_large,title={{Large Multimodal Models Enable Scalable Monitoring of Aquaculture Ponds}},author={Kabra*, Anmol and Pacheco*, Felipe Siqueira and Rappazzo, Brendan Hogan and Greenstreet, Laura and Fan, Joshua and Ferber, Aaron M and Ummus, Marta Eichemberger and Brito, Alecsander Gomes and Flecker, Alexander and Gomes, Carla P},booktitle={ICLR Workshop on Machine Learning for Remote Sensing},year={2026},}
Learning from Synthetic Data Improves Multi-hop Reasoning
@inproceedings{2026kabra_phantomreasoning,title={{Learning from Synthetic Data Improves Multi-hop Reasoning}},author={Kabra, Anmol and Yin, Yilun and Gong, Albert and Stankevičiūtė, Kamilė and Go, Dongyoung and Lee, Johann and Luo, Katie Z. and Gomes, Carla P. and Weinberger, Kilian Q.},year={2026},booktitle={The Fourteenth International Conference on Learning Representations},}
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
@inproceedings{2025gong_phantomwiki,title={{PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation}},author={Gong*, Albert and Stankevičiūtė*, Kamilė and Wan*, Chao and Kabra*, Anmol and Thesmar, Raphael and Lee, Johann and Klenke, Julius and Gomes, Carla P. and Weinberger, Kilian Q.},year={2025},booktitle={Proceedings of the 42nd International Conference on Machine Learning},}
Electron affinity difference distributions guide the discovery of the superconductor PtPb_3Bi
Omri Lesser, Yanjun Liu, Natalie Maus, Aaditya Panigrahi, Krishnanand Mallayya, Albert Gong, Anmol Kabra, Scott B. Lee, Sudipta Chatterjee, Amira Merino, Kilian Q. Weinberger, Leslie M. Schoop, Jacob R. Gardner, and Eun-Ah Kim
@inproceedings{2024kabra_FORC_score_design,title={Score Design for Multi-Criteria Incentivization},author={Kabra, Anmol and Karzand, Mina and Lechner, Tosca and Srebro, Nathan and Wang, Serena},booktitle={5th Symposium on Foundations of Responsible Computing (FORC)},year={2024},}
The Limitations of Model Retraining in the Face of Performativity
@inproceedings{2024kabra_limitations_retraining,title={The Limitations of Model Retraining in the Face of Performativity},author={Kabra*, Anmol and Patel*, Kumar Kshitij},booktitle={ICML Workshop on Humans, Algorithmic Decision-Making and Society},year={2024},}
AISciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
@unpublished{2024hogan_aiscivision,title={{AISciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification}},author={Hogan, Brendan and Kabra, Anmol and Pacheco, Felipe Siqueira and Greenstreet, Laura and Fan, Joshua and Ferber, Aaron and Ummus, Marta and Brito, Alecsander and Graham, Olivia and Aoki, Lillian and Harvell, Drew and Flecker, Alex and Gomes, Carla},year={2024},note={Preprint},}
Domain Private Transformers for Multi-Domain Dialog Systems
@inproceedings{2023kabra_domain_privacy,title={Domain Private Transformers for Multi-Domain Dialog Systems},author={Kabra, Anmol and Elenberg, Ethan R.},booktitle={Findings of the Association for Computational Linguistics: EMNLP},year={2023},}
Exponential Family Model-Based Reinforcement Learning via Score Matching
@inproceedings{2022li_score_matching,title={Exponential Family Model-Based Reinforcement Learning via Score Matching},author={Li, Gene and Li, Junbo and Kabra, Anmol and Srebro, Nathan and Wang, Zhaoran and Yang, Zhuoran},booktitle={Advances in Neural Information Processing Systems},volume={35},pages={28474--28487},year={2022},}
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
@inproceedings{2021bjorck_nmf,title={Characterizing the Loss Landscape in Non-Negative Matrix Factorization},author={Bjorck, Johan and Kabra, Anmol and Weinberger, Kilian Q. and Gomes, Carla P.},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},volume={35},number={8},pages={6768--6776},year={2021},doi={10.1609/aaai.v35i8.16836},url={https://doi.org/10.1609/aaai.v35i8.16836},}
GPU-Accelerated Principal-Agent Game for Scalable Citizen Science
@inproceedings{2019kabra_avicaching,author={Kabra, Anmol and Xue, Yexiang and Gomes, Carla P.},title={GPU-Accelerated Principal-Agent Game for Scalable Citizen Science},year={2019},isbn={9781450367141},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3314344.3332495},doi={10.1145/3314344.3332495},booktitle={Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies},pages={165–173},numpages={9},keywords={parallel computation, mixed-integer programming, machine learning, computational sustainability, citizen science},location={Accra, Ghana},series={COMPASS ’19},}
@unpublished{2017kabra_avicaching,author={Kabra, Anmol and Xue, Yexiang and Gomes, Carla P.},title={Solving the Avicaching Game Faster and Better},year={2017},note={Summer research project report, Cornell University},}
A Modular Approach to Optimal Hybrid Bus Allocation for TCAT
Anmol Kabra*, Kenneth Fang*, and Nicholas Kaye*
Cornell Mathematical Contest in Modeling (CMCM) report, Cornell University (2017).
@unpublished{2017kabra_cmcm,author={Kabra*, Anmol and Fang*, Kenneth and Kaye*, Nicholas},title={A Modular Approach to Optimal Hybrid Bus Allocation for TCAT},note={Cornell Mathematical Contest in Modeling (CMCM) report, Cornell University},year={2017},}
Potential of Conversion of Waste to Energy in India
Aayush*, Vaibhav Agarwal*, Anmol Kabra*, Amit Parashar*, Anshumat Srivastava*, and Ajay Kalamdhad
High school research project report, IIT Guwahati (2013).
@unpublished{2013kabra_wastetoenergy,author={Aayush* and Agarwal*, Vaibhav and Kabra*, Anmol and Parashar*, Amit and Srivastava*, Anshumat and Kalamdhad, Ajay},title={Potential of Conversion of Waste to Energy in India},note={High school research project report, IIT Guwahati},year={2013},}