Davis Wertheimer

17 papers A* 3B 1Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlashSinkhorn: IO-Aware Entropic Optimal Transport. CoRR Felix X.-F. Ye, Xingjie Li, An Yu, Ming-Ching Chang, Linsong Chu, Davis Wertheimer
2026	J	`jnl`	Frayed RoPE and Long Inputs: A Geometric Perspective. CoRR Davis Wertheimer, Aozhong Zhang, Derrick Liu, Penghang Yin, Naigang Wang
2024	J	`jnl`	Accelerating Production LLMs with Combined Token/Embedding Speculators. CoRR Davis Wertheimer, Joshua Rosenkranz, Thomas P. Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu K. Ganti, Mudhakar Srivatsa
2024	—	`conf`	INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee
2024	J	`jnl`	INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsengdar J. Lee
2024	J	`jnl`	SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. CoRR Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher
2023	Misc	`conf`	SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. SenSys Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher
2022	J	`jnl`	Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners. CoRR Davis Wertheimer, Luming Tang, Bharath Hariharan
2022	B	`conf`	NorBERT: NetwOrk Representations Through BERT for Network Analysis & Management. MASCOTS Franck Le, Davis Wertheimer, Seraphin B. Calo, Erich M. Nahum
2022	J	`jnl`	NorBERT: NetwOrk Representations through BERT for Network Analysis and Management. CoRR Franck Le, Davis Wertheimer, Seraphin B. Calo, Erich M. Nahum
2021	A*	`conf`	Few-Shot Classification With Feature Map Reconstruction Networks. CVPR Davis Wertheimer, Luming Tang, Bharath Hariharan
2020	J	`jnl`	Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation. CoRR Davis Wertheimer, Omid Poursaeed, Bharath Hariharan
2020	J	`jnl`	Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks. CoRR Davis Wertheimer, Luming Tang, Bharath Hariharan
2020	A*	`conf`	Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition. CVPR Luming Tang, Davis Wertheimer, Bharath Hariharan
2020	J	`jnl`	Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition. CoRR Luming Tang, Davis Wertheimer, Bharath Hariharan
2019	A*	`conf`	Few-Shot Learning With Localization in Realistic Settings. CVPR Davis Wertheimer, Bharath Hariharan
2019	J	`jnl`	Few-Shot Learning with Localization in Realistic Settings. CoRR Davis Wertheimer, Bharath Hariharan