Greener Copper with Dynamic Spectrum Management. - John M. Cioffi; Sumanth Jagannathan; Wooyul Lee; Hao Zou; Aakanksha Chowdhery; Wonjong Rhee; George Ginis; Peter Silverman (AccessNets, 2008)

Greener Copper with Dynamic Spectrum Management. - John M. Cioffi; Hao Zou; Aakanksha Chowdhery; Wooyul Lee; Sumanth Jagannathan (GLOBECOM, 2008)

A Polite Cross-Layer Protocol for Contention-Based Home Power-Line Communications. - Aakanksha Chowdhery; Sumanth Jagannathan; John M. Cioffi; Meryem Ouzzif (ICC, 2009)

Multi-User Joint Subchannel and Power Resource-Allocation for Powerline Relay Networks. - Hao Zou; Aakanksha Chowdhery; Sumanth Jagannathan; John M. Cioffi; Jérôme Le Masson (ICC, 2009)

Linear detection for the nonorthogonal amplify and forward protocol. - Aakanksha Chowdhery; Ranjan K. Mallik (IEEE Trans. Wirel. Commun., 2009)

Dynamic Spectrum Management for Upstream Mixtures of Vectored & Non-Vectored DSL. - Aakanksha Chowdhery; John M. Cioffi (GLOBECOM, 2010)

Greening the copper access network with dynamic spectrum management. - John M. Cioffi; Hao Zou; Aakanksha Chowdhery; Sumanth Jagannathan; Wooyul Lee (Int. J. Auton. Adapt. Commun. Syst., 2010)

Cooperative Wireless Multicell OFDMA Network with Backhaul Capacity Constraints. - Aakanksha Chowdhery; Wei Yu 001; John M. Cioffi (ICC, 2011)

Characterizing spectrum goodness for dynamic spectrum access. - Aakanksha Chowdhery; Ranveer Chandra; Paul Garnett; Paul Mitchell (Allerton Conference, 2012)

Compatibility of vectored and non-vectored VDSL2. - Kenneth J. Kerpez; John M. Cioffi; Stefano Galli; George Ginis; Marc Goldburg; Mehdi Mohseni; Aakanksha Chowdhery (CISS, 2012)

Dynamic cooperation link selection for network MIMO systems with limited backhaul capacity. - Shervin Mehryar; Aakanksha Chowdhery; Wei Yu 001 (ICC, 2012)

TxMiner: Identifying transmitters in real-world spectrum measurements. - Mariya Zheleva; Ranveer Chandra; Aakanksha Chowdhery; Ashish Kapoor; Paul Garnett (DySPAN, 2015)

Games of drones: an affective game with cyber-physical systems. - David Zhao; Aakanksha Chowdhery; Ashish Kapoor; Shivani Bahl (IPSN, 2015)

The Design and Implementation of a Wireless Video Surveillance System. - Tan Zhang; Aakanksha Chowdhery; Paramvir Bahl; Kyle Jamieson; Suman Banerjee 001 (MobiCom, 2015)

Optasia: A Relational Platform for Efficient Large-Scale Video Analytics. - Yao Lu; Aakanksha Chowdhery; Srikanth Kandula (SoCC, 2016)

SkyEyes: adaptive video streaming from UAVs. - Xiaoli Wang; Aakanksha Chowdhery; Mung Chiang (HotWireless@MobiCom, 2016)

Networked Drone Cameras for Sports Streaming. - Xiaoli Wang; Aakanksha Chowdhery; Mung Chiang (ICDCS, 2017)

Poster: DRIZY: Collaborative Driver Assistance Over Wireless Networks. - Nakul Garg; Ishani Janveja; Divyansh Malhotra; Chetan Chawla; Pulkit Gupta; Harshil Bansal; Aakanksha Chowdhery; Prerana Mukherjee; Brejesh Lall (MobiCom, 2017)

Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sensor Systems. - Igor Burago; Marco Levorato; Aakanksha Chowdhery (SECON, 2017)

Reinventing Video Streaming for Distributed Vision Analytics. - Chrisma Pakha; Aakanksha Chowdhery; Junchen Jiang (HotCloud, 2018)

Model Predictive Compression for Drone Video Analytics. - Aakanksha Chowdhery; Mung Chiang (SECON Workshops, 2018)

Accelerating Machine Learning Inference with Probabilistic Predicates. - Yao Lu; Aakanksha Chowdhery; Srikanth Kandula; Surajit Chaudhuri (SIGMOD Conference, 2018)

Enabling a Nationwide Radio Frequency Inventory Using the Spectrum Observatory. - Mariya Zheleva; Ranveer Chandra; Aakanksha Chowdhery; Paul Garnett; Anoop Gupta; Ashish Kapoor; Matt Valerio (IEEE Trans. Mob. Comput., 2018)

Aerial Channel Prediction and User Scheduling in Mobile Drone Hotspots. - Aakanksha Chowdhery; Kyle Jamieson (IEEE/ACM Trans. Netw., 2018)

Visual Wake Words Dataset. - Aakanksha Chowdhery; Pete Warden; Jonathon Shlens; Andrew Howard 002; Rocky Rhodes (CoRR, 2019)

Server-Driven Video Streaming for Deep Learning Inference. - Kuntai Du; Ahsan Pervaiz; Xin Yuan; Aakanksha Chowdhery; Qizheng Zhang; Henry Hoffmann; Junchen Jiang (SIGCOMM, 2020)

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. - Hussein Hazimeh 001; Zhe Zhao 001; Aakanksha Chowdhery; Maheswaran Sathiamoorthy; Yihua Chen; Rahul Mazumder; Lichan Hong; Ed H. Chi (NeurIPS, 2021)

Sparse is Enough in Scaling Transformers. - Sebastian Jaszczur; Aakanksha Chowdhery; Afroz Mohiuddin; Lukasz Kaiser; Wojciech Gajewski; Henryk Michalewski; Jonni Kanerva (NeurIPS, 2021)

Pathways: Asynchronous Distributed Dataflow for ML. - Paul Barham 001; Aakanksha Chowdhery; Jeff Dean; Sanjay Ghemawat; Steven Hand 001; Dan Hurt; Michael Isard; Hyeontaek Lim; Ruoming Pang; Sudip Roy 002; Brennan Saeta; Parker Schuh; et al. (MLSys, 2022)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Anselm Levskaya; Gaurav Mishra; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (CoRR, 2022)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Eric Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (CoRR, 2022)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Anselm Levskaya; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (CoRR, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. - Mirac Suzgun; Nathan Scales; Nathanael Schärli; Sebastian Gehrmann; Yi Tay; Hyung Won Chung; Aakanksha Chowdhery; Quoc V. Le; Ed H. Chi; Denny Zhou; Jason Wei (ACL (Findings), 2023)

Understanding HTML with Large Language Models. - Izzeddin Gur; Ofir Nachum; Yingjie Miao; Mustafa Safdari; Austin V. Huang; Aakanksha Chowdhery; Sharan Narang; Noah Fiedel; Aleksandra Faust (EMNLP (Findings), 2023)

Transcending Scaling Laws with 0.1% Extra Compute. - Yi Tay; Jason Wei; Hyung Won Chung; Vinh Q. Tran 002; David R. So; Siamak Shakeri; Xavier Garcia; Huaixiu Steven Zheng; Jinfeng Rao; Aakanksha Chowdhery; Denny Zhou; Donald Metzler; et al. (EMNLP, 2023)

Self-Consistency Improves Chain of Thought Reasoning in Language Models. - Xuezhi Wang 002; Jason Wei; Dale Schuurmans; Quoc V. Le; Ed H. Chi; Sharan Narang; Aakanksha Chowdhery; Denny Zhou (ICLR, 2023)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia 002; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 2023)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (MLSys, 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Gaurav Mishra; Anselm Levskaya; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (J. Mach. Learn. Res., 2023)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. - Machel Reid; Nikolay Savinov; Denis Teplyashin; Dmitry Lepikhin; Timothy P. Lillicrap; Jean-Baptiste Alayrac; Radu Soricut; Angeliki Lazaridou; Orhan Firat; Julian Schrittwieser; Ioannis Antonoglou; Rohan Anil; et al. (CoRR, 2024)

Gemma: Open Models Based on Gemini Research and Technology. - Thomas Mesnard; Cassidy Hardin; Robert Dadashi; Surya Bhupatiraju; Shreya Pathak; Laurent Sifre; Morgane Rivière; Mihir Sanjay Kale; Juliette Love; Pouya Tafti; Léonard Hussenot; Aakanksha Chowdhery; et al. (CoRR, 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)