Deepika Bablani

12 papers A* 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
SiLQ: Simple Large Language Model Quantization-Aware Training.
IJCNLP-AACL (Findings)
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2025 J jnl
SiLQ: Simple Large Language Model Quantization-Aware Training.
CoRR
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2024 — conf
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip.
ISSCC
Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha
2024 — conf
Breakthrough Edge AI Inference Performance Using Northpole in 3U Vpx Form Factor.
HPEC
Filipp Akopyan, William P. Risk, John V. Arthur, Andrew S. Cassidy, Michael V. DeBole, Carlos Ortega Otero, Jun Sawada, Evan Colgan, Michael E. Criscolo, Phillip V. Mann, Heinz Baier, Kai Schleupen, Arnon Amir, Alexander Andreopoulos, Rathinakumar Appuswamy, Deepika Bablani, Peter J. Carlson, Pallab Datta, Steven K. Esser, Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa, Brian Taba, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha
2024 — conf
Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole.
HPEC
Rathinakumar Appuswamy, Michael V. DeBole, Brian Taba, Steven K. Esser, Andrew S. Cassidy, Arnon Amir, Alexander Andreopoulos, Deepika Bablani, Pallab Datta, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon, Jeffrey L. McKinstry, Tapan K. Nayak, Daniel F. Smith, Rafael Sousa, Ignacio Terrizzano, Filipp Akopyan, Peter J. Carlson, Rajamohan Gandhasri, Guillaume Garreau, Nelson M. Gonzalez, Megumi Ito, Jennifer L. Klamo, Yutaka Y. Nakamura, Carlos Ortega Otero, William P. Risk, Jun Sawada, Kai Schleupen, Jay Sivagnaname, Matthew Stallone, Takanori Ueda, Myron D. Flickner, John V. Arthur, Rameswar Panda, David D. Cox, Dharmendra S. Modha
2023 J jnl
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference.
CoRR
Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha
2023 — conf
IBM NorthPole Neural Inference Machine.
HCS
Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda
2020 A* conf
Learned Step Size quantization.
ICLR
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2019 — conf
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference.
EMC2@NeurIPS
Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha
2019 J jnl
Learned Step Size Quantization.
CoRR
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha
2018 J jnl
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference.
CoRR
Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha
2018 J jnl
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing.
CoRR
Jeffrey L. McKinstry, Davis R. Barch, Deepika Bablani, Michael DeBole, Steven K. Esser, Jeffrey A. Kusnitz, John V. Arthur, Dharmendra S. Modha