Marcus D. Collins

16 papers A* 4A 2B 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
AffinityFlow: Guided Flows for Antibody Affinity Maturation.
ICML
Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson
2025 J jnl
AffinityFlow: Guided Flows for Antibody Affinity Maturation.
CoRR
Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson
2025 A* conf
Protein Structure Tokenization: Benchmarking and New Recipe.
ICML
Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2025 J jnl
Protein Structure Tokenization: Benchmarking and New Recipe.
CoRR
Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2025 A* conf
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer.
ICLR
Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2024 J jnl
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer.
CoRR
Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
2023 — conf
Augmenting Graph Convolutional Networks with Textual Data for Recommendations.
ECIR (2)
Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein
2023 A* conf
Disentangling User Conversations with Voice Assistants for Online Shopping.
SIGIR
Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko
2023 — conf
Faithful Low-Resource Data-to-Text Generation through Cycle Training.
ACL (1)
Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 J jnl
Faithful Low-Resource Data-to-Text Generation through Cycle Training.
CoRR
Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 A conf
Generating Explainable Product Comparisons for Online Shopping.
WSDM
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2022 — conf
Fact Checking Machine Generated Text with Dependency Trees.
EMNLP (Industry Track)
Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko
2022 B conf
Generating and Validating Contextually Relevant Justifications for Conversational Recommendation.
CHIIR
Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein
2022 — conf
What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison.
ECIR (2)
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2022 B conf
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings.
COLING
Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein
2021 A conf
VoiSeR: A New Benchmark for Voice-Based Search Refinement.
EACL
Simone Filice, Giuseppe Castellucci, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko